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	<updated>2026-04-29T17:32:58Z</updated>
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	<entry>
		<id>https://www.aclweb.org/aclwiki/index.php?title=POS_Tagging_(State_of_the_art)&amp;diff=11577</id>
		<title>POS Tagging (State of the art)</title>
		<link rel="alternate" type="text/html" href="https://www.aclweb.org/aclwiki/index.php?title=POS_Tagging_(State_of_the_art)&amp;diff=11577"/>
		<updated>2016-07-11T09:34:28Z</updated>

		<summary type="html">&lt;p&gt;Jdchoi: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;==Test collections==&lt;br /&gt;
* &#039;&#039;&#039;Performance measure:&#039;&#039;&#039; per token accuracy. (The convention is for this to be measured on all tokens, including punctuation tokens and other unambiguous tokens.)&lt;br /&gt;
* &#039;&#039;&#039;English&#039;&#039;&#039;&lt;br /&gt;
** &#039;&#039;&#039;Penn Treebank&#039;&#039;&#039; &#039;&#039;Wall Street Journal&#039;&#039; (WSJ) release 3 (LDC99T42). The splits of data for this task were not standardized early on (unlike for parsing) and early work uses various data splits defined by counts of tokens or by sections.  Most work from 2002 on adopts the following data splits, introduced by Collins (2002):&lt;br /&gt;
*** &#039;&#039;&#039;Training data:&#039;&#039;&#039; sections 0-18&lt;br /&gt;
*** &#039;&#039;&#039;Development test data:&#039;&#039;&#039; sections 19-21&lt;br /&gt;
*** &#039;&#039;&#039;Testing data:&#039;&#039;&#039; sections 22-24&lt;br /&gt;
&lt;br /&gt;
* &#039;&#039;&#039;French&#039;&#039;&#039;&lt;br /&gt;
** &#039;&#039;&#039;French TreeBank&#039;&#039;&#039; (FTB, Abeillé et al; 2003) &#039;&#039;Le Monde&#039;&#039;, December 2007 version, 28-tag tagset (CC tagset, Crabbé and Candito, 2008). Classical data split (10-10-80):&lt;br /&gt;
*** &#039;&#039;&#039;Training data:&#039;&#039;&#039; sentences 2471 to 12351&lt;br /&gt;
*** &#039;&#039;&#039;Development test data:&#039;&#039;&#039; sentences 1236 to 2470&lt;br /&gt;
*** &#039;&#039;&#039;Testing data:&#039;&#039;&#039; sentences 1 to 1235&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
== Tables of results ==&lt;br /&gt;
&lt;br /&gt;
===WSJ===&lt;br /&gt;
&lt;br /&gt;
{| border=&amp;quot;1&amp;quot; cellpadding=&amp;quot;5&amp;quot; cellspacing=&amp;quot;1&amp;quot; width=&amp;quot;100%&amp;quot;&lt;br /&gt;
|-&lt;br /&gt;
! System name&lt;br /&gt;
! Short description&lt;br /&gt;
! Main publication&lt;br /&gt;
! Software&lt;br /&gt;
! Extra Data?***&lt;br /&gt;
! All tokens&lt;br /&gt;
! Unknown words&lt;br /&gt;
! License&lt;br /&gt;
|-&lt;br /&gt;
| TnT*&lt;br /&gt;
| Hidden markov model&lt;br /&gt;
| Brants (2000)&lt;br /&gt;
| [http://www.coli.uni-saarland.de/~thorsten/tnt/ TnT]&lt;br /&gt;
| No&lt;br /&gt;
| 96.46%&lt;br /&gt;
| 85.86%&lt;br /&gt;
| Academic/research use only ([http://www.coli.uni-saarland.de/~thorsten/tnt/tnt-license.html license])&lt;br /&gt;
|-&lt;br /&gt;
| MElt&lt;br /&gt;
| MEMM with external lexical information&lt;br /&gt;
| Denis and Sagot (2009)&lt;br /&gt;
| [https://gforge.inria.fr/projects/lingwb/ Alpage linguistic workbench]&lt;br /&gt;
| No&lt;br /&gt;
| 96.96%&lt;br /&gt;
| 91.29%&lt;br /&gt;
| CeCILL-C&lt;br /&gt;
|-&lt;br /&gt;
| GENiA Tagger**&lt;br /&gt;
| Maximum entropy cyclic dependency network&lt;br /&gt;
| Tsuruoka, et al (2005)&lt;br /&gt;
| [http://www.nactem.ac.uk/tsujii/GENIA/tagger/ GENiA]&lt;br /&gt;
| No&lt;br /&gt;
| 97.05%&lt;br /&gt;
| Not available&lt;br /&gt;
| Gratis for non-commercial usage&lt;br /&gt;
|-&lt;br /&gt;
| Averaged Perceptron&lt;br /&gt;
| Averaged Perception discriminative sequence model&lt;br /&gt;
| Collins (2002)&lt;br /&gt;
| Not available&lt;br /&gt;
| No&lt;br /&gt;
| 97.11%&lt;br /&gt;
| Not available&lt;br /&gt;
| Unknown&lt;br /&gt;
|-&lt;br /&gt;
| Maxent easiest-first&lt;br /&gt;
| Maximum entropy bidirectional easiest-first inference&lt;br /&gt;
| Tsuruoka and Tsujii (2005)&lt;br /&gt;
| [http://www-tsujii.is.s.u-tokyo.ac.jp/~tsuruoka/postagger/ Easiest-first]&lt;br /&gt;
| No&lt;br /&gt;
| 97.15%&lt;br /&gt;
| Not available&lt;br /&gt;
| Unknown&lt;br /&gt;
|-&lt;br /&gt;
| SVMTool&lt;br /&gt;
| SVM-based tagger and tagger generator&lt;br /&gt;
| Giménez and Márquez (2004)&lt;br /&gt;
| [http://www.lsi.upc.es/~nlp/SVMTool/ SVMTool]&lt;br /&gt;
| No&lt;br /&gt;
| 97.16%&lt;br /&gt;
| 89.01%&lt;br /&gt;
| LGPL 2.1&lt;br /&gt;
|-&lt;br /&gt;
| LAPOS&lt;br /&gt;
| Perceptron based training with lookahead&lt;br /&gt;
| Tsuruoka, Miyao, and Kazama (2011)&lt;br /&gt;
| [http://www.logos.t.u-tokyo.ac.jp/~tsuruoka/lapos/ LAPOS]&lt;br /&gt;
| No&lt;br /&gt;
| 97.22%&lt;br /&gt;
| Not available&lt;br /&gt;
| MIT&lt;br /&gt;
|-&lt;br /&gt;
| Morče/COMPOST&lt;br /&gt;
| Averaged Perceptron&lt;br /&gt;
| Spoustová et al. (2009)&lt;br /&gt;
| [http://ufal.mff.cuni.cz/compost COMPOST]&lt;br /&gt;
| No&lt;br /&gt;
| 97.23%&lt;br /&gt;
| Not available&lt;br /&gt;
| Non-free ([http://ufal.mff.cuni.cz/compost/register.php academic-only])&lt;br /&gt;
|-&lt;br /&gt;
| Morče/COMPOST&lt;br /&gt;
| Averaged Perceptron&lt;br /&gt;
| Spoustová et al. (2009)&lt;br /&gt;
| [http://ufal.mff.cuni.cz/compost COMPOST]&lt;br /&gt;
| Yes&lt;br /&gt;
| 97.44%&lt;br /&gt;
| Not available&lt;br /&gt;
| Unknown&lt;br /&gt;
|-&lt;br /&gt;
| Stanford Tagger 1.0&lt;br /&gt;
| Maximum entropy cyclic dependency network&lt;br /&gt;
| Toutanova et al. (2003)&lt;br /&gt;
| [http://nlp.stanford.edu/software/tagger.shtml Stanford Tagger]&lt;br /&gt;
| No&lt;br /&gt;
| 97.24%&lt;br /&gt;
| 89.04%&lt;br /&gt;
| GPL v2+&lt;br /&gt;
|-&lt;br /&gt;
| Stanford Tagger 2.0&lt;br /&gt;
| Maximum entropy cyclic dependency network&lt;br /&gt;
| Manning (2011)&lt;br /&gt;
| [http://nlp.stanford.edu/software/tagger.shtml Stanford Tagger]&lt;br /&gt;
| No&lt;br /&gt;
| 97.29%&lt;br /&gt;
| 89.70%&lt;br /&gt;
| GPL v2+&lt;br /&gt;
|-&lt;br /&gt;
| Stanford Tagger 2.0&lt;br /&gt;
| Maximum entropy cyclic dependency network&lt;br /&gt;
| Manning (2011)&lt;br /&gt;
| [http://nlp.stanford.edu/software/tagger.shtml Stanford Tagger]&lt;br /&gt;
| Yes&lt;br /&gt;
| 97.32%&lt;br /&gt;
| 90.79%&lt;br /&gt;
| GPL v2+&lt;br /&gt;
|-&lt;br /&gt;
| LTAG-spinal&lt;br /&gt;
| Bidirectional perceptron learning&lt;br /&gt;
| Shen et al. (2007)&lt;br /&gt;
| [http://www.cis.upenn.edu/~xtag/spinal/ LTAG-spinal]&lt;br /&gt;
| No&lt;br /&gt;
| 97.33%&lt;br /&gt;
| Not available&lt;br /&gt;
| Unknown&lt;br /&gt;
|-&lt;br /&gt;
| SCCN&lt;br /&gt;
| Semi-supervised condensed nearest neighbor&lt;br /&gt;
| Søgaard (2011)&lt;br /&gt;
| [http://cst.dk/anders/scnn/ SCCN]&lt;br /&gt;
| Yes&lt;br /&gt;
| 97.50%&lt;br /&gt;
| Not available&lt;br /&gt;
| Unknown&lt;br /&gt;
|-&lt;br /&gt;
| CharWNN&lt;br /&gt;
| MLP with Neural Character Embeddings&lt;br /&gt;
| dos Santos and Zadrozny (2014)&lt;br /&gt;
| Not available&lt;br /&gt;
| No&lt;br /&gt;
| 97.32%&lt;br /&gt;
| 89.86%&lt;br /&gt;
| Unknown&lt;br /&gt;
|-&lt;br /&gt;
| structReg&lt;br /&gt;
| CRFs with structure regularization&lt;br /&gt;
| Sun(2014)&lt;br /&gt;
| Not available&lt;br /&gt;
| No&lt;br /&gt;
| 97.36%&lt;br /&gt;
| Not available&lt;br /&gt;
| Unknown&lt;br /&gt;
|-&lt;br /&gt;
| BI-LSTM-CRF&lt;br /&gt;
| Bidirectional LSTM-CRF Model&lt;br /&gt;
| Huang et al. (2015)&lt;br /&gt;
| Not available&lt;br /&gt;
| No&lt;br /&gt;
| 97.55%&lt;br /&gt;
| Not available&lt;br /&gt;
| Unknown&lt;br /&gt;
|-&lt;br /&gt;
| NLP4J&lt;br /&gt;
| Dynamic Feature Induction&lt;br /&gt;
| Choi (2016)&lt;br /&gt;
| [https://github.com/emorynlp/nlp4j NLP4J]&lt;br /&gt;
| Yes&lt;br /&gt;
| 97.64%&lt;br /&gt;
| 92.03%&lt;br /&gt;
| Apache 2&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
(*) TnT: Accuracy is as reported by Giménez and Márquez (2004) for the given test collection. Brants (2000) reports 96.7% token accuracy and 85.5% unknown word accuracy on a 10-fold cross-validation of the Penn WSJ corpus.&lt;br /&gt;
&lt;br /&gt;
(**) GENiA: Results are for models trained and tested on the given corpora (to be comparable to other results).  The distributed GENiA tagger is trained on a mixed training corpus and gets 96.94% on WSJ, and 98.26% on GENiA biomedical English.&lt;br /&gt;
&lt;br /&gt;
(***) Extra data: Whether system training exploited (usually large amounts of) extra unlabeled text, such as by semi-supervised learning, self-training, or using distributional similarity features, beyond the standard supervised training data.&lt;br /&gt;
&lt;br /&gt;
===FTB===&lt;br /&gt;
&lt;br /&gt;
{| border=&amp;quot;1&amp;quot; cellpadding=&amp;quot;5&amp;quot; cellspacing=&amp;quot;1&amp;quot; width=&amp;quot;100%&amp;quot;&lt;br /&gt;
|-&lt;br /&gt;
! System name&lt;br /&gt;
! Short description&lt;br /&gt;
! Main publication&lt;br /&gt;
! Software&lt;br /&gt;
! Extra Data?***&lt;br /&gt;
! All tokens&lt;br /&gt;
! Unknown words&lt;br /&gt;
! License&lt;br /&gt;
|-&lt;br /&gt;
| Morfette&lt;br /&gt;
| Perceptron with external lexical information*&lt;br /&gt;
| Chrupała et al. (2008), Seddah et al. (2010)&lt;br /&gt;
| [http://sites.google.com/site/morfetteweb/ Morfette]&lt;br /&gt;
| No&lt;br /&gt;
| 97.68%&lt;br /&gt;
| 90.52%&lt;br /&gt;
| New BSD&lt;br /&gt;
|-&lt;br /&gt;
| SEM&lt;br /&gt;
| CRF with external lexical information*&lt;br /&gt;
| Constant et al. (2011)&lt;br /&gt;
| [http://www.univ-orleans.fr/lifo/Members/Isabelle.Tellier/SEM.html SEM]&lt;br /&gt;
| No&lt;br /&gt;
| 97.7%&lt;br /&gt;
| Not available&lt;br /&gt;
| &amp;quot;GNU&amp;quot;(?)&lt;br /&gt;
|-&lt;br /&gt;
| MElt&lt;br /&gt;
| MEMM with external lexical information*&lt;br /&gt;
| Denis and Sagot (2009)&lt;br /&gt;
| [https://gforge.inria.fr/projects/lingwb/ Alpage linguistic workbench]&lt;br /&gt;
| No&lt;br /&gt;
| 97.80%&lt;br /&gt;
| 91.77%&lt;br /&gt;
| CeCILL-C&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
(*) External lexical information from the Lefff lexicon (Sagot 2010, [https://gforge.inria.fr/frs/?group_id=482 Alexina project])&lt;br /&gt;
&lt;br /&gt;
== References ==&lt;br /&gt;
&lt;br /&gt;
* Brants, Thorsten. 2000. [http://acl.ldc.upenn.edu/A/A00/A00-1031.pdf TnT -- A Statistical Part-of-Speech Tagger]. &amp;quot;6th Applied Natural Language Processing Conference&amp;quot;.&lt;br /&gt;
&lt;br /&gt;
* Chrupała, Grzegorz, Dinu, Georgiana and van Genabith, Josef. 2008. [http://www.lrec-conf.org/proceedings/lrec2008/pdf/594_paper.pdf Learning Morphology with Morfette]. &amp;quot;LREC 2008&amp;quot;. &lt;br /&gt;
&lt;br /&gt;
* Collins, Michael. 2002. [http://people.csail.mit.edu/mcollins/papers/tagperc.pdf Discriminative Training Methods for Hidden Markov Models: Theory and Experiments with Perceptron Algorithms]. &#039;&#039;EMNLP 2002&#039;&#039;.&lt;br /&gt;
&lt;br /&gt;
* Constant, Matthieu, Tellier, Isabelle, Duchier, Denys, Dupont, Yoann, Sigogne, Anthony, and Billot, Sylvie. [http://www.lirmm.fr/~lopez/TALN2011/Longs-TALN+RECITAL/Tellier_taln11_submission_54.pdf Intégrer des connaissances linguistiques dans un CRF : application à l&#039;apprentissage d&#039;un segmenteur-étiqueteur du français]. &amp;quot;TALN&#039;11&amp;quot;&lt;br /&gt;
&lt;br /&gt;
* Denis, Pascal and Sagot, Benoît. 2009. [http://alpage.inria.fr/~sagot/pub/paclic09tagging.pdf Coupling an annotated corpus and a morphosyntactic lexicon for state-of-the-art POS tagging with less human effort]. &amp;quot;PACLIC 2009&amp;quot;&lt;br /&gt;
&lt;br /&gt;
* Giménez, J., and Márquez, L. 2004. [http://www.lsi.upc.es/~nlp/SVMTool/lrec2004-gm.pdf SVMTool: A general POS tagger generator based on Support Vector Machines]. &#039;&#039;Proceedings of the 4th International Conference on Language Resources and Evaluation (LREC&#039;04)&#039;&#039;. Lisbon, Portugal. &lt;br /&gt;
&lt;br /&gt;
* Manning, Christopher D. 2011. Part-of-Speech Tagging from 97% to 100%: Is It Time for Some Linguistics? In Alexander Gelbukh (ed.), Computational Linguistics and Intelligent Text Processing, 12th International Conference, CICLing 2011, Proceedings, Part I. Lecture Notes in Computer Science 6608, pp. 171--189. Springer.&lt;br /&gt;
&lt;br /&gt;
* Seddah, Djamé, Chrupała, Grzegorz, Çetinoglu, Özlem and Candito, Marie. 2010. [http://aclweb.org/anthology-new/W/W10/W10-1410.pdf Lemmatization and Lexicalized Statistical Parsing of Morphologically Rich Languages: the Case of French] &amp;quot;SPMRL 2010 (NAACL 2010 workshop)&amp;quot;&lt;br /&gt;
&lt;br /&gt;
* Shen, L., Satta, G., and  Joshi, A. 2007. [http://acl.ldc.upenn.edu/P/P07/P07-1096.pdf Guided learning for bidirectional sequence classification]. &#039;&#039;Proceedings of the 45th Annual Meeting of the Association of Computational Linguistics (ACL 2007)&#039;&#039;, pages 760-767.&lt;br /&gt;
&lt;br /&gt;
* Søgaard, Anders. 2011. Semi-supervised condensed nearest neighbor for part-of-speech tagging. The 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies (ACL-HLT). Portland, Oregon.&lt;br /&gt;
&lt;br /&gt;
* Spoustová, Drahomíra &amp;quot;Johanka&amp;quot;, Jan Hajič, Jan Raab and Miroslav Spousta. 2009. Semi-supervised Training for the Averaged Perceptron POS Tagger. Proceedings of the 12 EACL, pages 763-771.&lt;br /&gt;
&lt;br /&gt;
* Toutanova, K., Klein, D., Manning, C.D., Yoram Singer, Y. 2003. [http://nlp.stanford.edu/kristina/papers/tagging.pdf Feature-rich part-of-speech tagging with a cyclic dependency network]. &#039;&#039;Proceedings of HLT-NAACL 2003&#039;&#039;, pages 252-259.&lt;br /&gt;
&lt;br /&gt;
* Tsuruoka, Yoshimasa, Yuka Tateishi, Jin-Dong Kim, Tomoko Ohta, John McNaught, Sophia Ananiadou, and Jun&#039;ichi Tsujii. 2005. &amp;quot;[http://www-tsujii.is.s.u-tokyo.ac.jp/~tsuruoka/papers/pci05.pdf Developing a Robust Part-of-Speech Tagger for Biomedical Text, Advances in Informatics]&amp;quot; - &#039;&#039;10th Panhellenic Conference on Informatics&#039;&#039;, &#039;&#039;&#039;LNCS 3746&#039;&#039;&#039;, pp. 382-392, 2005 &lt;br /&gt;
&lt;br /&gt;
* Tsuruoka, Yoshimasa, Yusuke Miyao, and Jun’ichi Kazama. 2011. &amp;quot;[http://aclweb.org/anthology-new/W/W11/W11-0328.pdf Learning with Lookahead: Can History-Based Models Rival Globally Optimized Models?]&amp;quot; &#039;&#039;Proceedings of the Fifteenth Conference on Computational Natural Language Learning&#039;&#039;, pp 238–246, 2011.&lt;br /&gt;
&lt;br /&gt;
* Tsuruoka, Yoshimasa and Jun&#039;ichi Tsujii. 2005. &amp;quot;[http://www-tsujii.is.s.u-tokyo.ac.jp/~tsuruoka/papers/emnlp05bidir.pdf Bidirectional Inference with the Easiest-First Strategy for Tagging Sequence Data]&amp;quot;, &#039;&#039;Proceedings of HLT/EMNLP 2005&#039;&#039;, pp. 467-474.&lt;br /&gt;
&lt;br /&gt;
* Sun, Xu. &amp;quot;[http://papers.nips.cc/paper/5643-structure-regularization-for-structured-prediction.pdf Structure Regularization for Structured Prediction]&amp;quot;. &#039;&#039;In Neural Information Processing Systems (NIPS)&#039;&#039;. 2402-2410. 2014&lt;br /&gt;
&lt;br /&gt;
* Cicero dos Santos, and Bianca Zadrozny. &amp;quot;[http://jmlr.org/proceedings/papers/v32/santos14.pdf Learning character-level representations for part-of-speech tagging]&amp;quot;. &#039;&#039;In Proceedings of the 31st International Conference on Machine Learning, JMLR: W&amp;amp;CP volume 32&#039;&#039;. 2014.&lt;br /&gt;
&lt;br /&gt;
* Z. H. Huang, W. Xu, and K. Yu. &amp;quot;[http://arxiv.org/abs/1508.01991 Bidirectional LSTM-CRF Models for Sequence Tagging]&amp;quot;. &#039;&#039;In arXiv:1508.01991&#039;&#039;. 2015.&lt;br /&gt;
&lt;br /&gt;
* Jinho D. Choi. 2016. &amp;quot;[https://aclweb.org/anthology/N/N16/N16-1031.pdf Dynamic Feature Induction: The Last Gist to the State-of-the-Art]&amp;quot;, Proceedings of NAACL 2016.&lt;br /&gt;
&lt;br /&gt;
== See also ==&lt;br /&gt;
* [[POS Induction (State of the art)]]&lt;br /&gt;
* [[Part-of-speech tagging]]&lt;br /&gt;
* [[State of the art]]&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
[[Category:State of the art]]&lt;/div&gt;</summary>
		<author><name>Jdchoi</name></author>
	</entry>
	<entry>
		<id>https://www.aclweb.org/aclwiki/index.php?title=List_of_NLP/CL_courses&amp;diff=11457</id>
		<title>List of NLP/CL courses</title>
		<link rel="alternate" type="text/html" href="https://www.aclweb.org/aclwiki/index.php?title=List_of_NLP/CL_courses&amp;diff=11457"/>
		<updated>2016-04-15T03:06:22Z</updated>

		<summary type="html">&lt;p&gt;Jdchoi: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;This page lists university courses that contain substantial content in [[Natural Language Processing]] and [[Computational Linguistics]], and is derived from a [http://www.clt.mq.edu.au/survey/ survey]&lt;br /&gt;
sponsored by the [[Association for Computational Linguistics]].&lt;br /&gt;
Courses are categorized by level (undergraduate, graduate, or both)&lt;br /&gt;
and programming language.  The final column gives the year when the&lt;br /&gt;
information was confirmed to be accurate.  (Entries more than five years&lt;br /&gt;
old, and entries with broken hyperlinks, may be culled.)&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
{| border=1 cellspacing=0 cellpadding=3 style=&amp;quot;border-collapse: collapse;&amp;quot;&lt;br /&gt;
! Country !! Institution !! Course Name !! Level !! Languages !! Datestamp&lt;br /&gt;
|-&lt;br /&gt;
|Australia ||Macquarie University ||[http://www.comp.mq.edu.au/units/comp248/ Introduction to Natural Language Processing ] ||Both ||Prolog ||2006&lt;br /&gt;
|-&lt;br /&gt;
|Australia ||Macquarie University ||[http://www.comp.mq.edu.au/units/comp348/ Document Processing and the Semantic Web ] ||Undergraduate ||Python ||2006&lt;br /&gt;
|-&lt;br /&gt;
|Australia ||Macquarie University ||[http://www.comp.mq.edu.au/units/comp349/  Spoken Language Dialogue Systems] ||Undergraduate ||Prolog ||2006&lt;br /&gt;
|-&lt;br /&gt;
|Australia ||University of Melbourne ||[http://www.cs.mu.oz.au/460/ Human Language Technology ] ||Undergraduate ||Python ||2006&lt;br /&gt;
|-&lt;br /&gt;
|Australia ||University of Melbourne ||[http://webraft.its.unimelb.edu.au/175410/pub/ Computational Linguistics ] ||Undergraduate ||Python ||2006&lt;br /&gt;
|-&lt;br /&gt;
|Australia ||University of Sydney ||Statistical Natural Language Processing ||Graduate ||Python ||2003&lt;br /&gt;
|-&lt;br /&gt;
|Austria ||University of Vienna ||Wissensbasierte Sprachverarbeitung ||Graduate ||Prolog ||2003&lt;br /&gt;
|-&lt;br /&gt;
|Belarus ||Grodno State University ||Introduction to Computational Linguistics ||Undergraduate || ||2003&lt;br /&gt;
|-&lt;br /&gt;
|Belgium ||Katholieke Universiteit Leuven (K.U.Leuven) ||[http://www.kuleuven.be/onderwijs/aanbod2006/syllabi/H02C8AE.htm Text Based Information Retrieval] ||Both || Java, C, MATLAB ||2006&lt;br /&gt;
|-&lt;br /&gt;
|Belgium ||Katholieke Universiteit Leuven (K.U.Leuven) ||[http://www.kuleuven.be/onderwijs/aanbod/syllabi/H02B1AE.htm Natural Language Processing] ||Master ||Perl ||2010&lt;br /&gt;
|-&lt;br /&gt;
|Belgium ||Katholieke Universiteit Leuven (K.U.Leuven) ||[http://www.ccl.kuleuven.be/Courses/LTAI/index.html Linguistic Theories and Artificial Intelligence] ||Master || ||2010&lt;br /&gt;
|-&lt;br /&gt;
|Belgium ||Katholieke Universiteit Leuven (K.U.Leuven) ||[http://www.kuleuven.ac.be/onderwijs/aanbod/syllabi/F0AR3AN.htm Computerlinguïstiek]||Undergraduate||Perl ||2010&lt;br /&gt;
|-&lt;br /&gt;
|Belgium ||University of Antwerp ||[https://www.uantwerpen.be/popup/opleidingsonderdeel.aspx?catalognr=2010FLWTAA&amp;amp;taal=en&amp;amp;aj=2015 Computational Linguistics] ||Master || Python ||2016&lt;br /&gt;
|-&lt;br /&gt;
|Belgium ||University of Antwerp ||[https://www.uantwerpen.be/popup/opleidingsonderdeel.aspx?catalognr=2011FLWTAA&amp;amp;taal=en&amp;amp;aj=2015 Computational Models of Language Understanding ] ||Master ||Python ||2016&lt;br /&gt;
|-&lt;br /&gt;
|Belgium ||University of Antwerp ||[https://www.uantwerpen.be/popup/opleidingsonderdeel.aspx?catalognr=2012FLWTAA&amp;amp;taal=en&amp;amp;aj=2015 Commputational Psycholinguistics ] ||Master || ||2016&lt;br /&gt;
|-&lt;br /&gt;
|Brazil ||Universidade Federal de Santa Catarina || Lingüística Computacional ||Graduate ||Perl Prolog ||2003&lt;br /&gt;
|-&lt;br /&gt;
|Brazil ||Universidade Federal de Santa Catarina || Lingüística Computacional I/II ||Undergraduate ||Perl Prolog ||2003&lt;br /&gt;
|-&lt;br /&gt;
|Brazil ||Universidade Federal de São Carlos ||Topics on Informatics (Introduction on NLP) ||Graduate ||C C++ Prolog ||2003&lt;br /&gt;
|-&lt;br /&gt;
|Brazil ||Universidade de São Paulo (ICMC-São Carlos) ||[http://uspdigital.usp.br/janus/componente/disciplinasOferecidasInicial.jsf?action=3&amp;amp;sgldis=SCC5869 Topics on NLP I ] ||Graduate || ||2012&lt;br /&gt;
|-&lt;br /&gt;
|Brazil ||Universidade de São Paulo (ICMC-São Carlos) ||[http://uspdigital.usp.br/janus/componente/disciplinasOferecidasInicial.jsf?action=3&amp;amp;sgldis=SCC5928 Topics on NLP II ] ||Graduate || ||2012&lt;br /&gt;
|-&lt;br /&gt;
|Brazil ||Universidade de São Paulo (ICMC-São Carlos) ||[http://uspdigital.usp.br/janus/componente/disciplinasOferecidasInicial.jsf?action=3&amp;amp;sgldis=SCC5908 Introduction to NLP ] ||Graduate || ||2012&lt;br /&gt;
|-&lt;br /&gt;
|Brazil ||Universidade Estadual Paulista (UNESP) || Tecnologias da Linguagem Humana|| Undergraduate ||Prolog||2005&lt;br /&gt;
|-&lt;br /&gt;
|Brazil ||Universidade Estadual Paulista (UNESP) || Processamento Automático de Línguas Naturais ||Graduate ||Prolog ||2005&lt;br /&gt;
|-&lt;br /&gt;
|Canada ||Concordia University ||Statistical Language Processing ||Graduate || Java C++ Perl ||2006&lt;br /&gt;
|-&lt;br /&gt;
|Canada ||Simon Fraser University ||[http://www.cs.sfu.ca/~anoop/courses/CMPT-413-Spring-2005/index.html Computational Linguistics ] || Undergraduate ||Perl ||2005&lt;br /&gt;
|-&lt;br /&gt;
|Canada ||Simon Fraser University ||[http://www.cs.sfu.ca/~anoop/courses/CMPT-825-Spring-2006/index.html Natural Language Processing ] ||Graduate ||Perl ||2006&lt;br /&gt;
|-&lt;br /&gt;
|Canada ||Simon Fraser University ||[http://www.cs.sfu.ca/~anoop/courses/CMPT-882-Fall-2002/index.html Statistical Learning of Natural Language ] ||Graduate || ||2003&lt;br /&gt;
|-&lt;br /&gt;
|Canada ||Université de Montréal ||Grammaires formelles ||Undergraduate ||Prolog ||2003&lt;br /&gt;
|-&lt;br /&gt;
|Canada ||Université de Montréal ||Indexation et condensation automatiques ||Graduate || ||2003&lt;br /&gt;
|-&lt;br /&gt;
|Canada ||Université de Montréal ||Morphologie computationnelle ||Graduate ||Prolog ||2003&lt;br /&gt;
|-&lt;br /&gt;
|Canada ||Université. de Montréal ||Syntaxe computationnelle ||Graduate ||Prolog ||2003&lt;br /&gt;
|-&lt;br /&gt;
|Canada ||University of Alberta || [http://www.cs.ualberta.ca/~kondrak/cmput650 Natural Language Processing ]||Graduate ||Perl ||2006&lt;br /&gt;
|-&lt;br /&gt;
|Canada ||University of Montreal ||Computational Linguistics  ||Graduate ||Prolog ||2003&lt;br /&gt;
|-&lt;br /&gt;
|Canada ||University of Ottawa ||[http://www.site.uottawa.ca/~diana/csi5180/ Statistical Techniques for Natural Language Processing ] ||Graduate || Perl Java||2004&lt;br /&gt;
|-&lt;br /&gt;
|Canada ||University of Ottawa ||[http://www.site.uottawa.ca/~szpak/teaching/5386/ Natural Language Processing ] ||Graduate || Prolog Perl||2006&lt;br /&gt;
|-&lt;br /&gt;
|Canada ||University of Toronto ||[http://www.cs.toronto.edu/~suzanne/2501/index.html Computational Linguistics] ||Both||C++ ||2006&lt;br /&gt;
|-&lt;br /&gt;
|Canada ||University of Toronto ||[http://www.cs.toronto.edu/~gpenn/csc401 Natural Language Computing ] ||Both ||Python ||2008&lt;br /&gt;
|-&lt;br /&gt;
|Canada ||University of Toronto ||[http://www.cs.utoronto.ca/~gh/Courses/2528/index.html Advanced computational linguistics ] ||Graduate || ||2006&lt;br /&gt;
|-&lt;br /&gt;
|CHINA ||Nanjing Normal University || Statistical Natural Language Processing ||Graduate || C++ ||2007&lt;br /&gt;
|-&lt;br /&gt;
|CHINA ||Nanjing University || Machine Translation ||Graduate || ||2006&lt;br /&gt;
|-&lt;br /&gt;
|Costa Rica ||Universidad de Costa Rica ||[http://espanol.groups.yahoo.com/group/fl-1036/ Tecnologías y producción textual I ] ||Undergraduate || ||2003&lt;br /&gt;
|-&lt;br /&gt;
|Costa Rica ||Universidad de Costa Rica ||Tecnologías y producción textual ||Graduate || ||2003&lt;br /&gt;
|-&lt;br /&gt;
|Czech Republic ||Charles University ||[http://ufal.mff.cuni.cz/~hajic/courses/pfl043/0203/syllabus.html Statistical methods in NLP ] ||Both ||Perl ||2003&lt;br /&gt;
|-&lt;br /&gt;
|Czech Republic ||Silesian University ||[http://ui.fpf.slu.cz/sylaby.html (BROKEN LINK) Natural Language Processing I/II ] ||Undergraduate || ||2003&lt;br /&gt;
|-&lt;br /&gt;
|Denmark ||Copenhagen University || [http://studies.ku.dk/masters/it-and-cognition/programme-structure/ Language Processing] || Graduate || Python || 2014&lt;br /&gt;
|-&lt;br /&gt;
|Denmark ||University of Southern Denmark, Odense ||[http://visl.hum.sdu.dk/members/sharder/undervisning/compling02/ Introduction to Computational Linguistics ] ||Both ||Prolog ||2003&lt;br /&gt;
|-&lt;br /&gt;
|Estonia ||University of Tartu ||[http://www.cs.ut.ee/~koit/ Computational Models in Language Understanding ] ||Both ||C++ ||2003&lt;br /&gt;
|-&lt;br /&gt;
|Estonia ||University of Tartu ||[http://www.cs.ut.ee/~koit/ Introduction to Computational Linguistics ] ||Both ||Prolog ||2003&lt;br /&gt;
|-&lt;br /&gt;
|Estonia ||University of Tartu ||[http://www.cs.ut.ee/~koit/ Mathematics for Computational Linguists II ] ||Undergraduate || ||2003&lt;br /&gt;
|-&lt;br /&gt;
|Finland ||Helsinki University of Technology ||[http://www.cis.hut.fi/Opinnot/T-61.6090/ Special Course in Language Technology ] || Graduate || || 2006&lt;br /&gt;
|-&lt;br /&gt;
|Finland ||Helsinki University of Technology ||[http://www.cis.hut.fi/Opinnot/T-61.5020/ Statistical and Adaptive Natural Language Processing ] || Both || || 2006&lt;br /&gt;
|-&lt;br /&gt;
|Germany ||Saarland University ||[http://www.coli.uni-sb.de/~hansu/gf02.html Grammar Formalisms ] ||Undergraduate || ||2003&lt;br /&gt;
|-&lt;br /&gt;
|Germany ||Saarland University  ||[http://www.coli.uni-sb.de/~hansu/vlcl01.html Introduction to Computational Linguistics ] ||Undergraduate || ||2003&lt;br /&gt;
|-&lt;br /&gt;
|Germany ||Saarland University ||[http://www.ps.uni-sb.de/~niehren/Web/Vorlesungen/Oz-NL-SS01/BookHomePage.html Concurrent constraint programming for natural language processing ] ||Both || Mozart Oz ||2003&lt;br /&gt;
|-&lt;br /&gt;
|Germany ||Universität Tübingen ||Computational Linguistics 1: Parsing ||Undergraduate ||Java ||2003&lt;br /&gt;
|-&lt;br /&gt;
|Germany ||University of Bremen ||Introduction to Natural Language Generation ||Undergraduate ||Lisp ||2003&lt;br /&gt;
|-&lt;br /&gt;
|Germany ||University of Bremen ||[http://www.cl.uni-bremen.de/~stefan/Lehre/CL/ Einführung in die Computerlinguistik ]||Undergraduate || ||2006&lt;br /&gt;
|-&lt;br /&gt;
|Germany ||University of Bremen ||[http://www.cl.uni-bremen.de/~stefan/Lehre/GE-Trale/ Einführung in die Grammatikentwicklung ]||Both || ||2006&lt;br /&gt;
|-&lt;br /&gt;
|Germany ||University of Dusseldorf ||[http://web.phil-fak.uni-duesseldorf.de/~kilbury/courses.htm Introduction to Computational Linguistics ] ||Undergraduate || ||2003&lt;br /&gt;
|-&lt;br /&gt;
|Germany ||University of Heidelberg ||[http://kontext.fraunhofer.de/haenelt/kurs/Parsing Parsing ] ||Graduate ||C Java Perl ||2003&lt;br /&gt;
|-&lt;br /&gt;
|Greece||Athens University of Economics and Business ||[http://eclass.aueb.gr/courses/INF153/ Artificial Intelligence]||Undergraduate ||C++ Java Prolog ||2010&lt;br /&gt;
|-&lt;br /&gt;
|Greece||Athens University of Economics and Business ||[http://eclass.aueb.gr/courses/INF210/ Language Technology]||Graduate ||C++ Java Prolog ||2010&lt;br /&gt;
|-&lt;br /&gt;
|Greece||Athens University of Economics and Business ||[http://eclass.aueb.gr/courses/INF154/ Logic and Artificial Intelligence]||Graduate ||C++ Java Prolog ||2010&lt;br /&gt;
|-&lt;br /&gt;
|India ||Assam University ||Natural Language Processing ||Graduate ||C C++ ||2003&lt;br /&gt;
|-&lt;br /&gt;
|India ||Banasthali University ||Natural Language Processing ||Graduate ||Perl Java Prolog Python ||2009&lt;br /&gt;
|-&lt;br /&gt;
|India || Indian Institute of Information Technology Allahabad || Natural Language Processing || Undergraduate Graduate || Java LISP Prolog Perl || 2005 onwards&lt;br /&gt;
|-&lt;br /&gt;
|India || Indian Institute of Science Bangalore ||[https://sites.google.com/site/2015e1246/ Natural Language Understanding] || Both ||  || 2015 onwards&lt;br /&gt;
|-&lt;br /&gt;
|India || Indian Institute of Science Bangalore ||[https://sites.google.com/site/se3052014 Topics in Large-scale Knowledge Harvesting] || Graduate ||  || 2014 onwards&lt;br /&gt;
|-&lt;br /&gt;
|India || Indian Institute of Technology Bombay ||[http://www.cse.iitb.ac.in/~cs460 Natural Language Processing] || both || Java Perl Prolog || 2004 onwards&lt;br /&gt;
|-&lt;br /&gt;
|India || International Institute of Information Technology IIIT Hyderabad || Natural Language Processing || both || Perl Python Java || 2001 onwards&lt;br /&gt;
|-&lt;br /&gt;
|India || International Institute of Information Technology IIIT Hyderabad || Applications to Natural Language Processing || both || Perl Python Java || 2001 onwards&lt;br /&gt;
|-&lt;br /&gt;
|Iran || University of Tehran ||[http://ece.ut.ac.ir/Classpages/S87/ECE500/index.htm Intelligent Information Retrieval ] ||both || ||2008&lt;br /&gt;
|-&lt;br /&gt;
|Iran || University of Tehran ||[http://ece.ut.ac.ir/classpages/F85/NaturalLanguageProcessing/ Natural Language Processing ] ||both || ||2008&lt;br /&gt;
|-&lt;br /&gt;
|Ireland ||Dublin City University ||[http://www.compapp.dcu.ie/~john/ca261.html Computational Linguistics 2 ] ||Undergraduate ||Java Perl ||2003&lt;br /&gt;
|-&lt;br /&gt;
|Ireland ||Dublin City University ||[http://www.computing.dcu.ie/~away/CL2/cl.html Computational Linguistics I ] ||Undergraduate ||Prolog ||2003&lt;br /&gt;
|-&lt;br /&gt;
|Israel ||University of Haifa ||[http://cs.haifa.ac.il/~shuly/teaching/index.html Computational Linguistics ] ||Both || ||2006&lt;br /&gt;
|-&lt;br /&gt;
|Italy ||University of Bologna ||[http://www.cilta.unibo.it/LingComp/ Linguistica Computazionale ] ||Both || ||2003&lt;br /&gt;
|-&lt;br /&gt;
|Italy ||Universita&#039; di Padova ||Natural Language Processing ||Graduate ||C++ Perl ||2003&lt;br /&gt;
|-&lt;br /&gt;
|Italy ||University of Siena||[http://www.ciscl.unisi.it/corsi.htm?id=29 Linguistica Computazionale ] ||Both || C Java PHP ||2006&lt;br /&gt;
|-&lt;br /&gt;
|Japan ||Japan Advanced Institute of Science and Technology ||[http://www.jaist.ac.jp/~gakusei/kyoumu/syllabi22/eng/2010_1I223.html Natural Language Processing I] ||Graduate ||C Perl ||1998 onwards&lt;br /&gt;
|-&lt;br /&gt;
|Japan ||Japan Advanced Institute of Science and Technology ||[http://www.jaist.ac.jp/~gakusei/kyoumu/syllabi22/eng/2010_1I414.html Natural Language Processing II] ||Graduate ||C Perl ||2001 onwards&lt;br /&gt;
|-&lt;br /&gt;
|Japan ||Japan Advanced Institute of Science and Technology ||[http://www.jaist.ac.jp/~gakusei/kyoumu/syll14/k417e.html Methodology for Knowledge Discovery ] ||Graduate ||C Perl ||2003&lt;br /&gt;
|-&lt;br /&gt;
|Japan ||Yamagata University ||[http://www.yz.yamagata-u.ac.jp Natural Language Processing ] ||Undergraduate || ||2003&lt;br /&gt;
|-&lt;br /&gt;
|Japan ||Yamaguchi University ||Introduction to Computational Linguistics ||Undergraduate || ||2003&lt;br /&gt;
|-&lt;br /&gt;
|Korea ||Postech ||[http://nlp.postech.ac.kr/Course/CS704/index.html Machine Learning for NLP ] ||Graduate ||C C++ ||2003&lt;br /&gt;
|-&lt;br /&gt;
|Korea ||Postech, Korea ||[http://nlp.postech.ac.kr/Course/CS730b/2001/index.html Statistical Natural Language Processing ] ||Graduate ||C C++ ||2003&lt;br /&gt;
|-&lt;br /&gt;
|Mexico ||National Polytechnic Institute ||[http://www.gelbukh.com/clbook/ Computational linguistics] ||Both || Perl, C++ ||2010&lt;br /&gt;
|-&lt;br /&gt;
|Mexico ||National Polytechnic Institute ||[http://www.gelbukh.com/courses/ Information Retrieval] ||Both || Perl, C++ ||2010&lt;br /&gt;
|-&lt;br /&gt;
|New Zealand ||University of Otago ||Computational linguistics ||Graduate ||Prolog ||2003&lt;br /&gt;
|-&lt;br /&gt;
|Norway ||University of Trondheim ||[http://www.idi.ntnu.no/~natlang/ Natural Language Interfaces ] ||Undergraduate ||Prolog ||2003&lt;br /&gt;
|-&lt;br /&gt;
|Poland ||Warsaw University ||[https://usosweb.mimuw.edu.pl/kontroler.php?_action=actionx:katalog2/przedmioty/pokazPrzedmiot(prz_kod:3301-JF-21J-SO) Computational Syntax ] ||Undergraduate ||Prolog ||2007&lt;br /&gt;
|-&lt;br /&gt;
|Poland ||Warsaw University ||[https://usosweb.mimuw.edu.pl/kontroler.php?_action=actionx:katalog2/przedmioty/pokazPrzedmiot(prz_kod:1000-2M07LK) Linguistic Engineering - Constructions ] ||Both ||Perl, Python, etc. ||2007&lt;br /&gt;
|-&lt;br /&gt;
|Poland ||Warsaw University ||[https://usosweb.mimuw.edu.pl/kontroler.php?_action=actionx:katalog2/przedmioty/pokazPrzedmiot(prz_kod:1000-2M07LS) Linguistic Engineering - Words ] ||Both ||Perl, Python, etc. ||2007&lt;br /&gt;
|-&lt;br /&gt;
|Portugal ||University of Lisbon ||[http://www.di.fc.ul.pt/sobre/?lei-detalhesdisciplinas#PLN Natural Language Processing ] ||Both ||Prolog ||2003&lt;br /&gt;
|-&lt;br /&gt;
|Portugal ||University of Lisbon ||[http://www.di.fc.ul.pt/sobre/?lei-detalhesdisciplinas#ILN Interaction in Natural Language ] ||Both ||C Java Perl Prolog Python ||2003&lt;br /&gt;
|-&lt;br /&gt;
|Portugal ||University of Lisbon ||[http://www.di.fc.ul.pt/sobre/?lei-detalhesdisciplinas#MQL Quantitative Language Nodelling ] ||Both ||Java Perl Prolog Python ||2003&lt;br /&gt;
|-&lt;br /&gt;
|Romania ||University A.I. Cuza, Iasi ||[http://www.infoiasi.ro/fcs/en/plan/plan-1-ml.html Introduction to Computational Linguistics, Corpus Linguistics ] ||Graduate ||C C++ Java Lisp Perl ||2003&lt;br /&gt;
|-&lt;br /&gt;
|Slovenia ||University of Ljubljana ||[http://www.ff.uni-lj.si/hp/pj/seminar/bes_in_rac.html Besedilo in ra&amp;amp;#269;unalnik ] ||Undergraduate || ||2003&lt;br /&gt;
|-&lt;br /&gt;
|Singapore ||National University of Singapore ||[http://www.comp.nus.edu.sg/ Natural Language Processing ] ||Both || ||2012&lt;br /&gt;
|-&lt;br /&gt;
|Spain ||University of the Basque Country and Udako Euskal Unibertsitatea ||[http://ixa.si.ehu.es/master/diseinua_html Hizkuntzaren Azterketa eta Prozesamendua (Analysis and Processing of Language) ] ||Graduate || Perl ||2008 &lt;br /&gt;
|-&lt;br /&gt;
|Spain ||University of the Basque Country ||[http://moodle.ehu.es/moodle/course/view.php?id=1025 Lengoaia Naturalaren Prozesamendua (Natural Language Processing) ] [http://moodle.ehu.es/moodle/course/view.php?id=971 (es) ]||Undergraduate ||Lisp Prolog Python||2008&lt;br /&gt;
|-&lt;br /&gt;
|Spain ||Universidad Complutense de Madrid || Lingüística Computacional ||Undergraduate ||Lisp Prolog ||2003&lt;br /&gt;
|-&lt;br /&gt;
|Spain ||Universitat Autònoma de Barcelona ||[http://liceu.uab.es/~joaquim/Tecnologies_Parla.html Tecnologies de la parla (Speech Technologies) ] ||Graduate || ||2006&lt;br /&gt;
|-&lt;br /&gt;
|Spain ||Universidad Autónoma de Madrid ||[http://www.eps.uam.es/~ealfon/nlp/ Procesamiento de Lenguaje Natural ] ||Graduate || ||2006&lt;br /&gt;
|-&lt;br /&gt;
|Spain ||Universidade da Coruña ||[http://www.grupolys.org/docencia/ln/ Lenguajes Naturales ] ||Undergraduate ||Java C Python  ||2009&lt;br /&gt;
|-&lt;br /&gt;
|Sri Lanka ||University of Colombo School of Computing||Natural Language Processing ||Both ||Prolog, Python  ||2009&lt;br /&gt;
|-&lt;br /&gt;
|Sweden ||[http://www.gu.se/ Göteborg University] ||[http://www.cling.gu.se/ Computational Linguistics ] ||Undergraduate ||Java Prolog  Python Oz Perl||2006&lt;br /&gt;
|-&lt;br /&gt;
|Sweden ||Linköping University ||[http://www.ida.liu.se/~TDDB71/ Språkteknologi (Language technology) ] ||Undergraduate ||Java Lisp Perl ||2003&lt;br /&gt;
|-&lt;br /&gt;
|Sweden ||Linköping University ||[http://www.ida.liu.se/~TDDB73/ Språkteknologiska system (Language Engineering Systems) ] ||Undergraduate ||Java Lisp ||2003&lt;br /&gt;
|-&lt;br /&gt;
|Sweden ||Lunds tekniska högskola ||[http://www.cs.lth.se/Education/Courses/EDA171/ Language processing and computational linguistics ] ||Undergraduate ||Perl Prolog ||2006&lt;br /&gt;
|-&lt;br /&gt;
|Sweden ||[http://www.gslt.hum.gu.se/ Swedish National Graduate School of Language Technology] ||[http://www.gslt.hum.gu.se/courses/ Ph.D. Courses in Language Technology ] ||Graduate || ||2006&lt;br /&gt;
|-&lt;br /&gt;
|Sweden ||Uppsala University ||[http://stp.lingfil.uu.se/utbildning/ Language Technology ] ||Undergraduate ||Java Prolog Python||2006&lt;br /&gt;
|-&lt;br /&gt;
|Sweden ||Växjö University ||[http://w3.msi.vxu.se/~nivre/teaching/nlp/dac723.html Language Technology ] ||Undergraduate || ||2006&lt;br /&gt;
|-&lt;br /&gt;
|Switzerland ||Swiss Federal Institute of Technology ||[http://lithwww.epfl.ch/teaching/rdf/ Pattern Recognition ] ||Undergraduate ||C++ Perl ||2003&lt;br /&gt;
|-&lt;br /&gt;
|Switzerland ||University of Zurich ||[http://www.cl.unizh.ch/siclemat/lehre/ss02/pcl2/ Programming Techniques in Computational Linguistics II ] ||Undergraduate ||Prolog ||2003&lt;br /&gt;
|-&lt;br /&gt;
|Switzerland ||University of Zurich ||[http://www.cl.unizh.ch/siclemat/lehre/ws0102/pcl1/ Programming Techniques in Computational Linguistics I ] ||Undergraduate ||Prolog ||2003&lt;br /&gt;
|-&lt;br /&gt;
|Switzerland ||University of Zurich  ||[http://www.ifi.unizh.ch/CL/hess/classes/dsa/ Discourse Analysis ] ||Graduate ||Prolog ||2003&lt;br /&gt;
|-&lt;br /&gt;
|Switzerland ||University of Zurich ||[http://www.ifi.unizh.ch/CL/hess/classes/ecl Introduction to Computational Linguisticss  ] ||Undergraduate ||Prolog ||2003&lt;br /&gt;
|-&lt;br /&gt;
|Switzerland ||University of Zurich  ||[http://www.ifi.unizh.ch/CL/hess/classes/mki/ AI Methods in Computational Linguistics ] ||Graduate ||Prolog ||2003&lt;br /&gt;
|-&lt;br /&gt;
|Switzerland ||University of Zurich  ||[http://www.ifi.unizh.ch/CL/hess/classes/sma/ Methods of Semantic Analysis ] ||Undergraduate ||Prolog ||2003&lt;br /&gt;
|-&lt;br /&gt;
|Switzerland ||Zurich University ||[http://www.ifi.unizh.ch/cl/klenner/lehre/ws0203/fg.html/ Statistical Natural Language Processing ] ||Undergraduate || ||2003&lt;br /&gt;
|-&lt;br /&gt;
|Taiwan ||[http://www.nccu.edu.tw/english/main.php National Chengchi University] || [http://www.cs.nccu.edu.tw/~chaolin/courses/nlp06f.html Natural Language Processing] || Graduate || student choice || 2006&lt;br /&gt;
|-&lt;br /&gt;
|Taiwan ||National Taiwan University ||[http://nlg.csie.ntu.edu.tw/courses/IR/course_IR.html Information Retrieval and Extraction] ||Both ||Student Choice ||2006&lt;br /&gt;
|-&lt;br /&gt;
|Taiwan ||National Taiwan University ||[http://nlg.csie.ntu.edu.tw/courses/NLP/ Natural Language Processing] ||Both ||Student Choice||2006&lt;br /&gt;
|-&lt;br /&gt;
|Taiwan ||National Tsing Hua University ||Natural Language Processing ||Graduate ||Foxpro ||2006&lt;br /&gt;
|-&lt;br /&gt;
|Taiwan ||National Tsing Hua University ||Natural Language Processing Lab ||Graduate ||Foxpro ||2006&lt;br /&gt;
|-&lt;br /&gt;
|Taiwan ||The Institute of Linguistics, Academia Sinica ||[http://clclp.ling.sinica.edu.tw/ Computational Linguistics and Chinese Language Processing] ||Graduate || ||2005&lt;br /&gt;
|-&lt;br /&gt;
|Thailand ||Chulalongkorn University ||[http://pioneer.chula.ac.th/~awirote/ling/2209674.htm Computational Linguistics I ] ||Graduate ||Perl Prolog ||2003&lt;br /&gt;
|-&lt;br /&gt;
|Turkey ||Middle East Technical University ||[http://www.ceng.metu.edu.tr/~bozsahin/nli/ceng563/ computational linguistics I ] ||Graduate ||Prolog ||2003&lt;br /&gt;
|-&lt;br /&gt;
|Turkey ||Middle East Technical University ||[http://www.ceng.metu.edu.tr/~bozsahin/nli/ceng584/ cognitive aspects of NLP ] ||Graduate ||C Java Lisp Prolog ||2003&lt;br /&gt;
|-&lt;br /&gt;
|UK ||Imperial College ||[http://www.hu.ic.ac.uk/translation Introduction to Language Engineering ] ||Graduate || ||2003&lt;br /&gt;
|-&lt;br /&gt;
|UK ||Loughborough University ||[http://www.lboro.ac.uk/departments/co/teaching/mcomp.html (BROKEN LINK) Natural Language and Speech Systems ] ||Undergraduate || ||2003&lt;br /&gt;
|-&lt;br /&gt;
|UK ||University of Birmingham ||[http://www.cs.bham.ac.uk/internal/modules/current/02495.html Natural Language Processing 1 ] ||Undergraduate ||Prolog ||2006&lt;br /&gt;
|-&lt;br /&gt;
|UK ||University of Birmingham ||[http://www.cs.bham.ac.uk/internal/modules/current/11223.html Natural Language Processing and Applications ] ||Both || ||2006&lt;br /&gt;
|-&lt;br /&gt;
|UK ||University of Birmingham ||[http://www.cs.bham.ac.uk/internal/modules/current/02648.html Natural Language Processing 2 ] ||Both || ||2006&lt;br /&gt;
|-&lt;br /&gt;
|UK ||University of Brighton ||[http://www.itri.brighton.ac.uk/courses/MScLex (BROKEN LINK) MSc in Lexical Computing and Lexicography ] ||Graduate ||Awk Perl ||2003&lt;br /&gt;
|-&lt;br /&gt;
|UK ||University of Brighton ||[http://www.itri.brighton.ac.uk/ Lexical Computing and Lexicography ] ||Graduate ||Perl ||2003&lt;br /&gt;
|-&lt;br /&gt;
|UK ||University of Cambridge ||[http://www.cl.cam.ac.uk/Teaching/current/NLP/ Natural Language Processing ] ||Undergraduate || ||2010&lt;br /&gt;
|-&lt;br /&gt;
|UK ||University of Cambridge ||[http://www.cl.cam.ac.uk/admissions/acs/ MPhil in Advanced Computer Science] ||Graduate || || 2010&lt;br /&gt;
|-&lt;br /&gt;
|UK ||University of Edinburgh ||[http://www.ling.ed.ac.uk/teaching/postgrad/mscslp/ M.Sc. in Speech and Language Processing ] ||Graduate ||Java Perl Prolog Python ||2003&lt;br /&gt;
|-&lt;br /&gt;
|UK ||University of Essex ||[http://courses.essex.ac.uk/lg/LG511 Computatiuonal Linguistics 1 ] ||Graduate ||Prolog ||2003&lt;br /&gt;
|-&lt;br /&gt;
|UK ||University of Essex ||[http://courses.essex.ac.uk/lg/LG519 Prolog I ] ||Graduate ||Prolog ||2003&lt;br /&gt;
|-&lt;br /&gt;
|UK ||University of Essex ||[http://courses.essex.ac.uk/lg/LG611 Computational Linguistics II ] ||Graduate ||Prolog ||2003&lt;br /&gt;
|-&lt;br /&gt;
|UK ||University of Essex ||[http://courses.essex.ac.uk/lg/LG619 Prolog II ] ||Graduate ||Prolog ||2003&lt;br /&gt;
|-&lt;br /&gt;
|UK ||University of Essex ||[http://cswww.essex.ac.uk/staff/poesio/cc437 Advanced Natural Language Engineering ] ||Graduate ||Java Perl ||2003&lt;br /&gt;
|-&lt;br /&gt;
|UK ||University of Leeds ||[http://www.comp.leeds.ac.uk/eric/ar32/ Natural Language Processing ] ||Both ||C++ Java Perl Prolog ||2003&lt;br /&gt;
|-&lt;br /&gt;
|UK ||University of Leeds ||[http://www.leeds.ac.uk/cts Computers and the Translator ] ||Undergraduate || ||2003&lt;br /&gt;
|-&lt;br /&gt;
|UK ||University of Leeds ||[http://www.leeds.ac.uk/cts Principles and Applications of MT ] ||Graduate || ||2003&lt;br /&gt;
|-&lt;br /&gt;
|UK ||University of Sheffield ||[http://www.shef.ac.uk/dcs/postgrad/taught/hlt.html M.Sc. Human Language Technology ] ||Postgraduate || ||2006&lt;br /&gt;
|-&lt;br /&gt;
|UK ||University of Sheffield ||[http://www.dcs.shef.ac.uk/intranet/teaching/modules/art/2005-6/stevenson.htm Language Engineering: Information Extraction ] ||Both || ||2006&lt;br /&gt;
|-&lt;br /&gt;
|UK ||University of Sheffield ||[http://www.dcs.shef.ac.uk/intranet/teaching/modules/level3/com4250.html Natural Language Processing ] ||Both ||Python ||2014&lt;br /&gt;
|-&lt;br /&gt;
|UK ||University of Sheffield ||[http://www.dcs.shef.ac.uk/intranet/teaching/modules/level3/com3110.html Text Processing ] ||Both ||Python ||2014&lt;br /&gt;
|-&lt;br /&gt;
|UK ||University of Sussex ||[http://www.informatics.sussex.ac.uk/courses/nlp/ Natural Language Processing ] ||Both ||Prolog Java||2006&lt;br /&gt;
|-&lt;br /&gt;
|UK ||University of Ulster ||[http://www.infj.ulst.ac.uk/nlp/ Natural Language Processing ] ||Undergraduate || ||2003&lt;br /&gt;
|-&lt;br /&gt;
|USA ||Arizona State University ||[http://www.eas.asu.edu/~cse476 (BROKEN LINK) Introduction to Natural Language Processing ] ||Both ||Java Prolog ||2003&lt;br /&gt;
|-&lt;br /&gt;
|USA ||Brandeis University ||[http://www.brandeis.edu/gsas/programs/comp_ling.html MA and PhD programs in Computational Linguistics ] ||Both ||Python, Lisp, Java ||2010 &lt;br /&gt;
|-&lt;br /&gt;
|USA ||Brigham Young University ||[http://faculty.cs.byu.edu/~ringger/CS401R/ Statistical Natural Language Processing ] ||Both ||Java ||2005 &lt;br /&gt;
|-&lt;br /&gt;
|USA ||Brigham Young University ||[http://faculty.cs.byu.edu/~ringger/CS601R/ Text Mining ] ||Graduate ||Java ||2007&lt;br /&gt;
|-&lt;br /&gt;
|USA ||Brown University ||[http://cog.brown.edu/~mj/classes/cg136/ Introduction to Computational Linguistics ] ||Both ||Python ||2006&lt;br /&gt;
|-&lt;br /&gt;
|USA ||Brown University ||[http://www.cs.brown.edu/courses/cs241/ Statistical Natural-Language Processing ] ||Graduate || ||2003&lt;br /&gt;
|-&lt;br /&gt;
|USA || Carnegie Mellon University || [http://www.cs.cmu.edu/~nasmith/NLP Natural Language Processing] || Undergraduate || various || 2008&lt;br /&gt;
|-&lt;br /&gt;
|USA ||Carnegie Mellon University ||[http://www.cs.cmu.edu/afs/cs.cmu.edu/project/cmt-55/lti/Courses/711/www/ Algorithms for Natural Language Processing ] ||Graduate || ||2006&lt;br /&gt;
|-&lt;br /&gt;
|USA ||Carnegie Mellon University ||[http://www.cs.cmu.edu/afs/cs.cmu.edu/project/cmt-55/lti/Courses/721/2006/www/ Grammars and Lexicons ] ||Graduate || LISP ||2006&lt;br /&gt;
|-&lt;br /&gt;
| USA || Carnegie Mellon University || [http://www.cs.cmu.edu/~roni/11761-s07 Language and Statistics I] || Graduate || || 2007&lt;br /&gt;
|-&lt;br /&gt;
| USA || Carnegie Mellon University || [http://www.cs.cmu.edu/~nasmith/LS2 Language and Statistics II] || Graduate || || 2007&lt;br /&gt;
|-&lt;br /&gt;
|USA ||Carleton College ||[http://www.mathcs.carleton.edu/faculty/jondich/cs395/ (BROKEN LINK) Natural Language Processing ] ||Undergraduate ||C++ Perl ||2003&lt;br /&gt;
|-&lt;br /&gt;
|USA ||Cornell University ||[http://www.cs.cornell.edu/courses/cs172 Computation, Information, and Intelligence ] ||Undergraduate || ||2008&lt;br /&gt;
|-&lt;br /&gt;
|USA ||Cornell University ||[http://courses.cit.cornell.edu/ling4424 Computational Linguistics ] ||Undergraduate || ||2013&lt;br /&gt;
|-&lt;br /&gt;
|USA ||Cornell University ||[http://www.cs.cornell.edu/courses/cs4300 Information Retrieval ] ||Undergraduate || ||2013&lt;br /&gt;
|-&lt;br /&gt;
|USA ||Cornell University ||[http://www.cs.cornell.edu/courses/cs4740 Introduction to Natural Language Processing  ] ||Undergraduate || ||2014&lt;br /&gt;
|-&lt;br /&gt;
|USA ||Cornell University ||[http://www.cs.cornell.edu/courses/cs6740 Advanced Language Technologies  ] ||Graduate || ||2012&lt;br /&gt;
|-&lt;br /&gt;
|USA ||Cornell University ||[http://www.cs.cornell.edu/courses/cs6742 Natural Language Processing and Social Interaction  ] ||Graduate || ||2014&lt;br /&gt;
|-&lt;br /&gt;
|USA ||Cornell University || Speech Synthesis by Rule||Graduate || ||2008&lt;br /&gt;
|-&lt;br /&gt;
|USA ||Cornell University ||[http://www.cs.cornell.edu/courses/cs775/2001sp/default.html Statistical Natural Language Processing: Models and Methods ] ||Graduate || ||2010&lt;br /&gt;
|-&lt;br /&gt;
|USA ||CUNY Graduate Center ||[http://bb.gc.cuny.edu/ (BROKEN LINK) Language Technology ] ||Graduate ||Perl ||2003&lt;br /&gt;
|-&lt;br /&gt;
|USA ||Emory University ||[https://github.com/emory-courses/cs329 Computational Linguistics ] ||Undergraduate ||Python ||2016&lt;br /&gt;
|-&lt;br /&gt;
|USA ||Emory University ||[https://github.com/emory-courses/cs571 Natural Language Processing ] ||Both ||Java, Python ||2015&lt;br /&gt;
|-&lt;br /&gt;
|USA ||Georgetown University ||[http://www9.georgetown.edu/faculty/mad87/06/362/ Introduction to Natural Language Processing ] ||Both ||Perl ||2006&lt;br /&gt;
|-&lt;br /&gt;
|USA ||Georgetown University ||[http://www.georgetown.edu/faculty/wilsong/Tools/Ling367.html Computational Linguistics: Tools for Linguists ] ||Both || ||2006&lt;br /&gt;
|-&lt;br /&gt;
|USA ||Georgetown University ||[http://www9.georgetown.edu/faculty/mad87/06/561/ Seminar: Computational Linguisics ] ||Graduate ||Python ||2006&lt;br /&gt;
|-&lt;br /&gt;
|USA ||Georgetown University ||[http://www9.georgetown.edu/faculty/mad87/06/420/ Statistical NLP] ||Both ||Python ||2006&lt;br /&gt;
|-&lt;br /&gt;
|USA ||Harvard University ||[http://www.courses.fas.harvard.edu/~cs187/ Introduction to Computational Linguistics ] ||Both ||Prolog ||2006&lt;br /&gt;
|-&lt;br /&gt;
|USA ||Hunter College CUNY  ||[http://bb.hunter.cuny.edu/ Language Technology ] ||Undergraduate ||C++ ||2003&lt;br /&gt;
|-&lt;br /&gt;
|USA ||Johns Hopkins University ||[http://www.cs.jhu.edu/~jason/465  Natural Language Processing ] ||Both ||student choice ||2006&lt;br /&gt;
|-&lt;br /&gt;
|USA ||Johns Hopkins University ||[http://www.clsp.jhu.edu/~sanjeev/520.666/ Information Extraction ] ||Graduate ||  ||2006&lt;br /&gt;
|-&lt;br /&gt;
|USA ||Johns Hopkins University ||[http://www.cs.jhu.edu/~jason/465  Seminar in Natural Language Processing ] ||Graduate ||  ||2006&lt;br /&gt;
|-&lt;br /&gt;
|USA ||Johns Hopkins University ||[http://cs.jhu.edu/~jason/405/ Finite-State Methods in Natural Language Processing ] ||Graduate || ||2003&lt;br /&gt;
|-&lt;br /&gt;
|USA ||Johns Hopkins University ||[http://cs.jhu.edu/~jason/665/ Statistical Language Learning ] ||Graduate || ||2003&lt;br /&gt;
|-&lt;br /&gt;
|USA ||Johns Hopkins University ||[http://apl.jhu.edu/~paulmac/ir.html Information Retrieval ] ||Graduate || ||2010&lt;br /&gt;
|-&lt;br /&gt;
|USA ||The Ohio State University ||[http://www.cse.ohio-state.edu/~fosler/794L/ Foundations of Spoken Language Processing ] ||Both ||MATLAB student choice ||2006&lt;br /&gt;
|-&lt;br /&gt;
|USA ||The Ohio State University ||[http://www.cse.ohio-state.edu/cgi-bin/syllabus-view.cgi?cgi_state=view;SYLLABUS_ID=598 Computational Linguistics ] ||Both ||Java ||2006&lt;br /&gt;
|-&lt;br /&gt;
|USA ||The Ohio State University ||[http://ling.ohio-state.edu/courses/course_info/?course_no=684.01 Symbolic Computational Linguistics ] ||Both || Prolog ||2003&lt;br /&gt;
|-&lt;br /&gt;
|USA ||The Ohio State University ||[http://ling.ohio-state.edu/courses/course_info/?course_no=684.02 Data-Intensive Computational Linguistics ] ||Both || Python ||2003&lt;br /&gt;
|-&lt;br /&gt;
|USA ||The Ohio State University ||[http://ling.ohio-state.edu/courses/course_info/?course_no=684.03 Computational Semantics ] ||Both || Prolog ||2006&lt;br /&gt;
|-&lt;br /&gt;
|USA ||Purdue University ||[http://min.ecn.purdue.edu/~ee669/ Natural Language Processing ] ||Graduate ||C C++ Java Lisp Perl Python ||2003&lt;br /&gt;
|-&lt;br /&gt;
|USA ||Rutgers University ||[http://www.cs.rutgers.edu/~mdstone/class/533 (BROKEN LINK) Natural Language Processing ] ||Both ||Java Perl Prolog ||2003&lt;br /&gt;
|-&lt;br /&gt;
|USA ||San Diego State University ||Computational Corpus Linguistics ||Both ||Python ||2006&lt;br /&gt;
|-&lt;br /&gt;
|USA ||San Diego State University ||Introduction to Computational Linguistics ||Both ||Python ||2006&lt;br /&gt;
|-&lt;br /&gt;
|USA ||Smith College ||Introduction to Computational Linguistics ||Undergraduate ||Lisp ||2003&lt;br /&gt;
|-&lt;br /&gt;
|USA ||Stanford University ||[http://www.stanford.edu/class/cs224n/ Natural Language Processing ] ||Both ||Java ||2006&lt;br /&gt;
|-&lt;br /&gt;
|USA ||Stanford University ||[http://www.stanford.edu/class/linguist180/ Introduction to Computer Speech and Language Processing ] ||Undergraduate ||Perl Python Java ||2006&lt;br /&gt;
|-&lt;br /&gt;
|USA ||Stanford University ||[http://www.stanford.edu/class/linguist288/ Natural Language Understanding ] ||Both || ||2006&lt;br /&gt;
|-&lt;br /&gt;
|USA ||Stanford University ||[http://www.stanford.edu/~mjkay/ Human and Machine Translation]||Both || ||2006&lt;br /&gt;
|-&lt;br /&gt;
|USA ||Stanford University ||[http://www.stanford.edu/~mjkay/ Programming and Algorithms for NLP]||Both || ||2006&lt;br /&gt;
|-&lt;br /&gt;
|USA ||Stanford University || Finite-State Methods in NLP||Both || ||2006&lt;br /&gt;
|-&lt;br /&gt;
|USA ||Stony Brook University ||[http://www.cs.sunysb.edu/~cse507 (BROKEN LINK) Introduction to Computational Linguistics ] ||Graduate ||Java Perl Prolog ||2003&lt;br /&gt;
|-&lt;br /&gt;
|USA ||SUNY Buffalo ||[http://www.cse.buffalo.edu/faculty/alphonce/Courses/Fall2006/cse467 Computational Linguistics ] ||Both||Lisp Perl||2006&lt;br /&gt;
|-&lt;br /&gt;
|USA ||SUNY Buffalo ||[http://www.cse.buffalo.edu/~rapaport/675.html Advanced Topics in Computational Linguistics ] ||Graduate ||Lisp ||2006&lt;br /&gt;
|-&lt;br /&gt;
|USA ||The University of Chicago ||[http://humanities.uchicago.edu/faculty/goldsmith/StatNLP/index.htm Statistical NLP ] ||Graduate ||Perl ||2003&lt;br /&gt;
|-&lt;br /&gt;
|USA ||University of California, Berkeley ||[http://www.cs.berkeley.edu/~klein/cs294-5/index.html Statistical NLP ] ||Graduate ||Java ||2005&lt;br /&gt;
|-&lt;br /&gt;
|USA ||University of California, San Diego  ||[http://ling.ucsd.edu/~kehler/ling165.html Computational Linguistics ] ||Undergraduate ||Prolog ||2003&lt;br /&gt;
|-&lt;br /&gt;
|USA ||University of California, San Diego || Natural Language Processing in LISP ||Graduate ||Lisp ||2003&lt;br /&gt;
|-&lt;br /&gt;
|USA ||University of Colorado, Boulder || [http://verbs.colorado.edu/~mpalmer/Ling7800/index.html Advanced Computational Linguistics] || Graduate ||||2007&lt;br /&gt;
|-&lt;br /&gt;
|USA ||University of Colorado, Boulder || [http://www.colorado.edu/catalog/catalog05-06/cgi-bin/search.pl?abbr=ling&amp;amp;num=5200 Computational Corpus Linguistics ] || Graduate || Python || 2009&lt;br /&gt;
|-&lt;br /&gt;
|USA ||University of Colorado, Boulder || [http://www.colorado.edu/catalog/catalog09-10/search.pl?abbr=CSCI&amp;amp;num=5832&amp;amp;=Search Natural Language Processing ] || Graduate || Python || 2009&lt;br /&gt;
|-&lt;br /&gt;
|USA ||University of Colorado, Boulder || Natural Language Processing ||Undergraduate ||||2000&lt;br /&gt;
|-&lt;br /&gt;
|USA ||University of Colorado, Boulder ||[http://www.cs.colorado.edu/courses/csci6302.html Speech Recognition and Synthesis ]||Graduate ||||2002&lt;br /&gt;
|-&lt;br /&gt;
|USA ||University of Central Florida ||Advanced Artificial Intelligence ||Graduate ||Lisp ||2003&lt;br /&gt;
|-&lt;br /&gt;
|USA ||University of Central Florida ||Natural Language Understanding || ||Lisp Perl ||2003&lt;br /&gt;
|-&lt;br /&gt;
|USA ||University of Chicago ||[http://humanities.uchicago.edu/faculty/goldsmith/Industrial/syllabus.htm An Overview of Industrial Linguistics ] ||Graduate ||Perl ||2003&lt;br /&gt;
|-&lt;br /&gt;
|USA ||University of Georgia ||[http://www.ai.uga.edu/~mc/nlpfaq.html Applied Natural Language Processing ] ||Graduate ||Python ||2003&lt;br /&gt;
|-&lt;br /&gt;
|USA ||University of Georgia ||[http://www.ai.uga.edu/~mc/nlpfaq.html Natural Language Processing Techniques ] ||Graduate ||Prolog ||2003&lt;br /&gt;
|-&lt;br /&gt;
|USA ||University of Illinois - Chicago ||[http://www.cs.uic.edu/~bdieugen/teaching.html Natural Language Processing ] ||Both ||C Java Lisp Perl ||2003&lt;br /&gt;
|-&lt;br /&gt;
|USA ||University of Illinois - Urbana Champaign ||[http://catarina.ai.uiuc.edu/L406_06/ Introduction to Computational Linguisticss ] ||Both ||||2006&lt;br /&gt;
|-&lt;br /&gt;
|USA ||University of Illinois - Urbana Champaign ||[http://l2r.cs.uiuc.edu/#teaching Machine Learning and Natural Language ] ||Graduate ||||2005&lt;br /&gt;
|-&lt;br /&gt;
|USA ||University of Illinois - Urbana Champaign ||[http://l2r.cs.uiuc.edu/#teaching Machine Learning] ||Both ||||2005&lt;br /&gt;
|-&lt;br /&gt;
|USA ||University of Maryland, College Park ||[http://www.clis2.umd.edu/courses/796 (BROKEN LINK) Information Retrieval Systems ] ||Graduate ||C C++ Java ||2003&lt;br /&gt;
|-&lt;br /&gt;
|USA ||University of Maryland, College Park ||[http://www.umiacs.umd.edu/~resnik/ling723/ Computational Linguistics I ] ||Graduate || Perl ||2006&lt;br /&gt;
|-&lt;br /&gt;
|USA ||University of Maryland, College Park ||[http://www.umiacs.umd.edu/~resnik/ling647/ Computational Linguistics II ] ||Graduate || Perl ||2006&lt;br /&gt;
|-&lt;br /&gt;
|USA ||University of Maryland, College Park ||[http://www.umiacs.umd.edu/~resnik/ling848_fa2004/ Seminar in Computational Linguistics ] ||Graduate || ||2004&lt;br /&gt;
|-&lt;br /&gt;
|USA ||University of Michigan ||[http://www.eecs.umich.edu/~radev/LNI-winter2004 Language and Information ] ||Both || ||2004&lt;br /&gt;
|-&lt;br /&gt;
|USA ||University of Michigan ||[http://www.eecs.umich.edu/~radev/650w10 Information Retrieval ] ||Both || ||2005&lt;br /&gt;
|-&lt;br /&gt;
|USA ||University of Michigan ||[http://www.eecs.umich.edu/~radev/NLP-winter2013 Natural Language Processing ] ||Both || ||2005&lt;br /&gt;
|-&lt;br /&gt;
|USA ||University of Michigan ||[http://www.eecs.umich.edu/~radev/767w10 Advanced NLP/IR ] ||Graduate || ||2006&lt;br /&gt;
|-&lt;br /&gt;
|USA ||University of Minnesota, Duluth ||[http://www.d.umn.edu/~tpederse/teaching.html Introduction to Natural Language Processing ] ||Undergraduate ||Perl ||2003&lt;br /&gt;
|-&lt;br /&gt;
|USA ||University of Minnesota, Duluth ||[http://www.d.umn.edu/~tpederse/teaching.html Natural Language Processing ] ||Graduate ||Perl ||2003&lt;br /&gt;
|-&lt;br /&gt;
|USA ||University of North Texas ||[http://www.cs.unt.edu/~rada/CSCE5290 Natural Language Processing ] ||Graduate ||Perl ||2006&lt;br /&gt;
|-&lt;br /&gt;
|USA ||University of Pennsylvania ||[http://www.cis.upenn.edu/~cis520 Introduction to Artificial Intelligence ] ||Graduate || ||2003&lt;br /&gt;
|-&lt;br /&gt;
|USA ||University of Pennsylvania ||[http://www.cis.upenn.edu/~cis630 Advanced Topics in Natural Language Processing ] ||Graduate ||C++ Java Perl Python ||2003&lt;br /&gt;
|-&lt;br /&gt;
|USA ||University of Pennsylvania ||[http://www.cis.upenn.edu/~cse391 Introduction to Artificial Intelligence ] ||Undergraduate ||Prolog ||2003&lt;br /&gt;
|-&lt;br /&gt;
|USA ||University of Pittsburgh ||[http://www.cs.pitt.edu/~litman/courses/CS3730/cs3730.html Natural Language Processing ] ||Graduate || ||2003&lt;br /&gt;
|-&lt;br /&gt;
|USA ||University of Rochester ||[http://www.cs.rochester.edu/~schubert/247-447/ Natural Language Processing ] ||Both ||Lisp ||2006&lt;br /&gt;
|-&lt;br /&gt;
|USA ||University of Rochester ||[http://www.cs.rochester.edu/~gildea/2006_Fall/ Language, Parsing, and Complexity ] ||Both || ||2006&lt;br /&gt;
|-&lt;br /&gt;
|USA ||University of Rochester ||[http://www.cs.rochester.edu/~gildea/2005_Fall/ Speech Recognition and Statistical Natural Language Processing ] ||Both || ||2005&lt;br /&gt;
|-&lt;br /&gt;
|USA ||University of Rochester ||[http://www.cs.rochester.edu/~gildea/2004_Spring/ Seminar in AI: Statistical Machine Translation ] ||Graduate || ||2004&lt;br /&gt;
|-&lt;br /&gt;
|USA ||University of Southern California ||[http://www.isi.edu/~marcu/544/ Introduction to Natural Language Processing ] ||Graduate || ||2003&lt;br /&gt;
|-&lt;br /&gt;
|USA ||University of Southern California  ||[http://www.isi.edu/~marcu/544/ Natural Language Processing  ] ||Graduate ||C++ Java Lisp Perl ||2003&lt;br /&gt;
|-&lt;br /&gt;
|USA ||University of Southern California  ||[http://www.isi.edu/natural-language/people/cs562-f2006-syll.htm Empirical Methods in Natural Language Processing  ] ||Graduate || ||2006&lt;br /&gt;
|-&lt;br /&gt;
|USA ||University of St. Thomas, Saint Paul MN ||Information Retrieval ||Graduate ||C Java Perl Python ||2003&lt;br /&gt;
|-&lt;br /&gt;
|USA ||University of Texas at Austin ||[http://comp.ling.utexas.edu/jbaldrid/icl Introduction to Computational Linguistics ] ||Undergraduate||Python||2006&lt;br /&gt;
|-&lt;br /&gt;
|USA ||University of Texas at Austin ||Natural Language Processing||Undergraduate||Python, Java||[http://comp.ling.utexas.edu/courses/2008/fall/natural_language_processing 2008]&lt;br /&gt;
|-&lt;br /&gt;
|USA ||University of Texas at Austin ||Natural Language Processing||Graduate||Java||[http://www.cs.utexas.edu/~mooney/cs388/ 2008]&lt;br /&gt;
|-&lt;br /&gt;
|USA ||University of Texas at Austin ||Computational Linguistics I ||Graduate||Python||[http://www.utexas.edu/courses/jbaldrid/2006/compling1 2006], [http://comp.ling.utexas.edu/courses/2007/cl1/ 2007], [http://comp.ling.utexas.edu/courses/2008/cl1_08/ 2008]&lt;br /&gt;
|-&lt;br /&gt;
|USA ||University of Texas at Austin ||Computational Linguistics II ||Graduate||Python Java||[http://comp.ling.utexas.edu/jbaldrid/cl2 2006], [http://comp.ling.utexas.edu/courses/2007/cl2_07/ 2007]&lt;br /&gt;
|-&lt;br /&gt;
|USA ||University of Texas at Austin&lt;br /&gt;
||Intro to working with corpora and programming || Both||Python||[http://comp.ling.utexas.edu/erk/corpora06.html 2006] [http://comp.ling.utexas.edu/courses/2007/corpora07/ 2007]&lt;br /&gt;
|-&lt;br /&gt;
|USA ||University of Texas at El Paso ||[http://www.cs.utep.edu/nigel/nlp/ Statistical Approaches to Natural Language Processing ] ||Both ||Perl ||2006&lt;br /&gt;
|-&lt;br /&gt;
|USA ||University of Utah ||[http://www.cs.utah.edu/classes/cs5340 Natural Language Processing ] ||Both ||C C++ Java Lisp Perl ||2003&lt;br /&gt;
|-&lt;br /&gt;
|USA ||University of Washington||[http://courses.washington.edu/ling472 Introduction to Computational Linguistics] ||Undergraduate ||Perl ||2006&lt;br /&gt;
|-&lt;br /&gt;
|USA ||University of Washington||[http://courses.washington.edu/ling570/ Shallow Methods in Natural Language Processing]||Graduate ||Python Java C++ Perl||2007&lt;br /&gt;
|-&lt;br /&gt;
|USA ||University of Washington||[http://courses.washington.edu/ling571/   Deep Processing Techniques for Natural Language Processing] ||Graduate ||Python Java C++ Perl||2007&lt;br /&gt;
|-&lt;br /&gt;
|USA ||University of Washington||[http://courses.washington.edu/ling572/  Advanced Statistical Methods for Natural Language Processing] ||Graduate ||Python Java C++ Perl||2008&lt;br /&gt;
|-&lt;br /&gt;
|USA ||University of Washington||[http://courses.washington.edu/ling573/ Systems/Applications] ||Graduate ||Python Java C++ Perl||2008&lt;br /&gt;
|-&lt;br /&gt;
|USA ||University of Washington||[http://courses.washington.edu/ling567 Knowledge Engineering for NLP] ||Graduate ||tdl ||2006&lt;br /&gt;
|-&lt;br /&gt;
|USA ||University of Wisconsin-Madison ||Intensive Computational Linguistics ||Both ||C++ Java ||2003&lt;br /&gt;
|- &lt;br /&gt;
|USA ||University of Wisconsin-Madison ||[http://www.cs.wisc.edu/~jerryzhu/cs769.html Advanced Natural Language Processing ] ||Graduate||student choice||2008&lt;br /&gt;
|- |]&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
[[Category:Education]]&lt;br /&gt;
[[Category:Natural language processing]]&lt;/div&gt;</summary>
		<author><name>Jdchoi</name></author>
	</entry>
	<entry>
		<id>https://www.aclweb.org/aclwiki/index.php?title=List_of_NLP/CL_courses&amp;diff=11456</id>
		<title>List of NLP/CL courses</title>
		<link rel="alternate" type="text/html" href="https://www.aclweb.org/aclwiki/index.php?title=List_of_NLP/CL_courses&amp;diff=11456"/>
		<updated>2016-04-15T03:05:55Z</updated>

		<summary type="html">&lt;p&gt;Jdchoi: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;This page lists university courses that contain substantial content in [[Natural Language Processing]] and [[Computational Linguistics]], and is derived from a [http://www.clt.mq.edu.au/survey/ survey]&lt;br /&gt;
sponsored by the [[Association for Computational Linguistics]].&lt;br /&gt;
Courses are categorized by level (undergraduate, graduate, or both)&lt;br /&gt;
and programming language.  The final column gives the year when the&lt;br /&gt;
information was confirmed to be accurate.  (Entries more than five years&lt;br /&gt;
old, and entries with broken hyperlinks, may be culled.)&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
{| border=1 cellspacing=0 cellpadding=3 style=&amp;quot;border-collapse: collapse;&amp;quot;&lt;br /&gt;
! Country !! Institution !! Course Name !! Level !! Languages !! Datestamp&lt;br /&gt;
|-&lt;br /&gt;
|Australia ||Macquarie University ||[http://www.comp.mq.edu.au/units/comp248/ Introduction to Natural Language Processing ] ||Both ||Prolog ||2006&lt;br /&gt;
|-&lt;br /&gt;
|Australia ||Macquarie University ||[http://www.comp.mq.edu.au/units/comp348/ Document Processing and the Semantic Web ] ||Undergraduate ||Python ||2006&lt;br /&gt;
|-&lt;br /&gt;
|Australia ||Macquarie University ||[http://www.comp.mq.edu.au/units/comp349/  Spoken Language Dialogue Systems] ||Undergraduate ||Prolog ||2006&lt;br /&gt;
|-&lt;br /&gt;
|Australia ||University of Melbourne ||[http://www.cs.mu.oz.au/460/ Human Language Technology ] ||Undergraduate ||Python ||2006&lt;br /&gt;
|-&lt;br /&gt;
|Australia ||University of Melbourne ||[http://webraft.its.unimelb.edu.au/175410/pub/ Computational Linguistics ] ||Undergraduate ||Python ||2006&lt;br /&gt;
|-&lt;br /&gt;
|Australia ||University of Sydney ||Statistical Natural Language Processing ||Graduate ||Python ||2003&lt;br /&gt;
|-&lt;br /&gt;
|Austria ||University of Vienna ||Wissensbasierte Sprachverarbeitung ||Graduate ||Prolog ||2003&lt;br /&gt;
|-&lt;br /&gt;
|Belarus ||Grodno State University ||Introduction to Computational Linguistics ||Undergraduate || ||2003&lt;br /&gt;
|-&lt;br /&gt;
|Belgium ||Katholieke Universiteit Leuven (K.U.Leuven) ||[http://www.kuleuven.be/onderwijs/aanbod2006/syllabi/H02C8AE.htm Text Based Information Retrieval] ||Both || Java, C, MATLAB ||2006&lt;br /&gt;
|-&lt;br /&gt;
|Belgium ||Katholieke Universiteit Leuven (K.U.Leuven) ||[http://www.kuleuven.be/onderwijs/aanbod/syllabi/H02B1AE.htm Natural Language Processing] ||Master ||Perl ||2010&lt;br /&gt;
|-&lt;br /&gt;
|Belgium ||Katholieke Universiteit Leuven (K.U.Leuven) ||[http://www.ccl.kuleuven.be/Courses/LTAI/index.html Linguistic Theories and Artificial Intelligence] ||Master || ||2010&lt;br /&gt;
|-&lt;br /&gt;
|Belgium ||Katholieke Universiteit Leuven (K.U.Leuven) ||[http://www.kuleuven.ac.be/onderwijs/aanbod/syllabi/F0AR3AN.htm Computerlinguïstiek]||Undergraduate||Perl ||2010&lt;br /&gt;
|-&lt;br /&gt;
|Belgium ||University of Antwerp ||[https://www.uantwerpen.be/popup/opleidingsonderdeel.aspx?catalognr=2010FLWTAA&amp;amp;taal=en&amp;amp;aj=2015 Computational Linguistics] ||Master || Python ||2016&lt;br /&gt;
|-&lt;br /&gt;
|Belgium ||University of Antwerp ||[https://www.uantwerpen.be/popup/opleidingsonderdeel.aspx?catalognr=2011FLWTAA&amp;amp;taal=en&amp;amp;aj=2015 Computational Models of Language Understanding ] ||Master ||Python ||2016&lt;br /&gt;
|-&lt;br /&gt;
|Belgium ||University of Antwerp ||[https://www.uantwerpen.be/popup/opleidingsonderdeel.aspx?catalognr=2012FLWTAA&amp;amp;taal=en&amp;amp;aj=2015 Commputational Psycholinguistics ] ||Master || ||2016&lt;br /&gt;
|-&lt;br /&gt;
|Brazil ||Universidade Federal de Santa Catarina || Lingüística Computacional ||Graduate ||Perl Prolog ||2003&lt;br /&gt;
|-&lt;br /&gt;
|Brazil ||Universidade Federal de Santa Catarina || Lingüística Computacional I/II ||Undergraduate ||Perl Prolog ||2003&lt;br /&gt;
|-&lt;br /&gt;
|Brazil ||Universidade Federal de São Carlos ||Topics on Informatics (Introduction on NLP) ||Graduate ||C C++ Prolog ||2003&lt;br /&gt;
|-&lt;br /&gt;
|Brazil ||Universidade de São Paulo (ICMC-São Carlos) ||[http://uspdigital.usp.br/janus/componente/disciplinasOferecidasInicial.jsf?action=3&amp;amp;sgldis=SCC5869 Topics on NLP I ] ||Graduate || ||2012&lt;br /&gt;
|-&lt;br /&gt;
|Brazil ||Universidade de São Paulo (ICMC-São Carlos) ||[http://uspdigital.usp.br/janus/componente/disciplinasOferecidasInicial.jsf?action=3&amp;amp;sgldis=SCC5928 Topics on NLP II ] ||Graduate || ||2012&lt;br /&gt;
|-&lt;br /&gt;
|Brazil ||Universidade de São Paulo (ICMC-São Carlos) ||[http://uspdigital.usp.br/janus/componente/disciplinasOferecidasInicial.jsf?action=3&amp;amp;sgldis=SCC5908 Introduction to NLP ] ||Graduate || ||2012&lt;br /&gt;
|-&lt;br /&gt;
|Brazil ||Universidade Estadual Paulista (UNESP) || Tecnologias da Linguagem Humana|| Undergraduate ||Prolog||2005&lt;br /&gt;
|-&lt;br /&gt;
|Brazil ||Universidade Estadual Paulista (UNESP) || Processamento Automático de Línguas Naturais ||Graduate ||Prolog ||2005&lt;br /&gt;
|-&lt;br /&gt;
|Canada ||Concordia University ||Statistical Language Processing ||Graduate || Java C++ Perl ||2006&lt;br /&gt;
|-&lt;br /&gt;
|Canada ||Simon Fraser University ||[http://www.cs.sfu.ca/~anoop/courses/CMPT-413-Spring-2005/index.html Computational Linguistics ] || Undergraduate ||Perl ||2005&lt;br /&gt;
|-&lt;br /&gt;
|Canada ||Simon Fraser University ||[http://www.cs.sfu.ca/~anoop/courses/CMPT-825-Spring-2006/index.html Natural Language Processing ] ||Graduate ||Perl ||2006&lt;br /&gt;
|-&lt;br /&gt;
|Canada ||Simon Fraser University ||[http://www.cs.sfu.ca/~anoop/courses/CMPT-882-Fall-2002/index.html Statistical Learning of Natural Language ] ||Graduate || ||2003&lt;br /&gt;
|-&lt;br /&gt;
|Canada ||Université de Montréal ||Grammaires formelles ||Undergraduate ||Prolog ||2003&lt;br /&gt;
|-&lt;br /&gt;
|Canada ||Université de Montréal ||Indexation et condensation automatiques ||Graduate || ||2003&lt;br /&gt;
|-&lt;br /&gt;
|Canada ||Université de Montréal ||Morphologie computationnelle ||Graduate ||Prolog ||2003&lt;br /&gt;
|-&lt;br /&gt;
|Canada ||Université. de Montréal ||Syntaxe computationnelle ||Graduate ||Prolog ||2003&lt;br /&gt;
|-&lt;br /&gt;
|Canada ||University of Alberta || [http://www.cs.ualberta.ca/~kondrak/cmput650 Natural Language Processing ]||Graduate ||Perl ||2006&lt;br /&gt;
|-&lt;br /&gt;
|Canada ||University of Montreal ||Computational Linguistics  ||Graduate ||Prolog ||2003&lt;br /&gt;
|-&lt;br /&gt;
|Canada ||University of Ottawa ||[http://www.site.uottawa.ca/~diana/csi5180/ Statistical Techniques for Natural Language Processing ] ||Graduate || Perl Java||2004&lt;br /&gt;
|-&lt;br /&gt;
|Canada ||University of Ottawa ||[http://www.site.uottawa.ca/~szpak/teaching/5386/ Natural Language Processing ] ||Graduate || Prolog Perl||2006&lt;br /&gt;
|-&lt;br /&gt;
|Canada ||University of Toronto ||[http://www.cs.toronto.edu/~suzanne/2501/index.html Computational Linguistics] ||Both||C++ ||2006&lt;br /&gt;
|-&lt;br /&gt;
|Canada ||University of Toronto ||[http://www.cs.toronto.edu/~gpenn/csc401 Natural Language Computing ] ||Both ||Python ||2008&lt;br /&gt;
|-&lt;br /&gt;
|Canada ||University of Toronto ||[http://www.cs.utoronto.ca/~gh/Courses/2528/index.html Advanced computational linguistics ] ||Graduate || ||2006&lt;br /&gt;
|-&lt;br /&gt;
|CHINA ||Nanjing Normal University || Statistical Natural Language Processing ||Graduate || C++ ||2007&lt;br /&gt;
|-&lt;br /&gt;
|CHINA ||Nanjing University || Machine Translation ||Graduate || ||2006&lt;br /&gt;
|-&lt;br /&gt;
|Costa Rica ||Universidad de Costa Rica ||[http://espanol.groups.yahoo.com/group/fl-1036/ Tecnologías y producción textual I ] ||Undergraduate || ||2003&lt;br /&gt;
|-&lt;br /&gt;
|Costa Rica ||Universidad de Costa Rica ||Tecnologías y producción textual ||Graduate || ||2003&lt;br /&gt;
|-&lt;br /&gt;
|Czech Republic ||Charles University ||[http://ufal.mff.cuni.cz/~hajic/courses/pfl043/0203/syllabus.html Statistical methods in NLP ] ||Both ||Perl ||2003&lt;br /&gt;
|-&lt;br /&gt;
|Czech Republic ||Silesian University ||[http://ui.fpf.slu.cz/sylaby.html (BROKEN LINK) Natural Language Processing I/II ] ||Undergraduate || ||2003&lt;br /&gt;
|-&lt;br /&gt;
|Denmark ||Copenhagen University || [http://studies.ku.dk/masters/it-and-cognition/programme-structure/ Language Processing] || Graduate || Python || 2014&lt;br /&gt;
|-&lt;br /&gt;
|Denmark ||University of Southern Denmark, Odense ||[http://visl.hum.sdu.dk/members/sharder/undervisning/compling02/ Introduction to Computational Linguistics ] ||Both ||Prolog ||2003&lt;br /&gt;
|-&lt;br /&gt;
|Estonia ||University of Tartu ||[http://www.cs.ut.ee/~koit/ Computational Models in Language Understanding ] ||Both ||C++ ||2003&lt;br /&gt;
|-&lt;br /&gt;
|Estonia ||University of Tartu ||[http://www.cs.ut.ee/~koit/ Introduction to Computational Linguistics ] ||Both ||Prolog ||2003&lt;br /&gt;
|-&lt;br /&gt;
|Estonia ||University of Tartu ||[http://www.cs.ut.ee/~koit/ Mathematics for Computational Linguists II ] ||Undergraduate || ||2003&lt;br /&gt;
|-&lt;br /&gt;
|Finland ||Helsinki University of Technology ||[http://www.cis.hut.fi/Opinnot/T-61.6090/ Special Course in Language Technology ] || Graduate || || 2006&lt;br /&gt;
|-&lt;br /&gt;
|Finland ||Helsinki University of Technology ||[http://www.cis.hut.fi/Opinnot/T-61.5020/ Statistical and Adaptive Natural Language Processing ] || Both || || 2006&lt;br /&gt;
|-&lt;br /&gt;
|Germany ||Saarland University ||[http://www.coli.uni-sb.de/~hansu/gf02.html Grammar Formalisms ] ||Undergraduate || ||2003&lt;br /&gt;
|-&lt;br /&gt;
|Germany ||Saarland University  ||[http://www.coli.uni-sb.de/~hansu/vlcl01.html Introduction to Computational Linguistics ] ||Undergraduate || ||2003&lt;br /&gt;
|-&lt;br /&gt;
|Germany ||Saarland University ||[http://www.ps.uni-sb.de/~niehren/Web/Vorlesungen/Oz-NL-SS01/BookHomePage.html Concurrent constraint programming for natural language processing ] ||Both || Mozart Oz ||2003&lt;br /&gt;
|-&lt;br /&gt;
|Germany ||Universität Tübingen ||Computational Linguistics 1: Parsing ||Undergraduate ||Java ||2003&lt;br /&gt;
|-&lt;br /&gt;
|Germany ||University of Bremen ||Introduction to Natural Language Generation ||Undergraduate ||Lisp ||2003&lt;br /&gt;
|-&lt;br /&gt;
|Germany ||University of Bremen ||[http://www.cl.uni-bremen.de/~stefan/Lehre/CL/ Einführung in die Computerlinguistik ]||Undergraduate || ||2006&lt;br /&gt;
|-&lt;br /&gt;
|Germany ||University of Bremen ||[http://www.cl.uni-bremen.de/~stefan/Lehre/GE-Trale/ Einführung in die Grammatikentwicklung ]||Both || ||2006&lt;br /&gt;
|-&lt;br /&gt;
|Germany ||University of Dusseldorf ||[http://web.phil-fak.uni-duesseldorf.de/~kilbury/courses.htm Introduction to Computational Linguistics ] ||Undergraduate || ||2003&lt;br /&gt;
|-&lt;br /&gt;
|Germany ||University of Heidelberg ||[http://kontext.fraunhofer.de/haenelt/kurs/Parsing Parsing ] ||Graduate ||C Java Perl ||2003&lt;br /&gt;
|-&lt;br /&gt;
|Greece||Athens University of Economics and Business ||[http://eclass.aueb.gr/courses/INF153/ Artificial Intelligence]||Undergraduate ||C++ Java Prolog ||2010&lt;br /&gt;
|-&lt;br /&gt;
|Greece||Athens University of Economics and Business ||[http://eclass.aueb.gr/courses/INF210/ Language Technology]||Graduate ||C++ Java Prolog ||2010&lt;br /&gt;
|-&lt;br /&gt;
|Greece||Athens University of Economics and Business ||[http://eclass.aueb.gr/courses/INF154/ Logic and Artificial Intelligence]||Graduate ||C++ Java Prolog ||2010&lt;br /&gt;
|-&lt;br /&gt;
|India ||Assam University ||Natural Language Processing ||Graduate ||C C++ ||2003&lt;br /&gt;
|-&lt;br /&gt;
|India ||Banasthali University ||Natural Language Processing ||Graduate ||Perl Java Prolog Python ||2009&lt;br /&gt;
|-&lt;br /&gt;
|India || Indian Institute of Information Technology Allahabad || Natural Language Processing || Undergraduate Graduate || Java LISP Prolog Perl || 2005 onwards&lt;br /&gt;
|-&lt;br /&gt;
|India || Indian Institute of Science Bangalore ||[https://sites.google.com/site/2015e1246/ Natural Language Understanding] || Both ||  || 2015 onwards&lt;br /&gt;
|-&lt;br /&gt;
|India || Indian Institute of Science Bangalore ||[https://sites.google.com/site/se3052014 Topics in Large-scale Knowledge Harvesting] || Graduate ||  || 2014 onwards&lt;br /&gt;
|-&lt;br /&gt;
|India || Indian Institute of Technology Bombay ||[http://www.cse.iitb.ac.in/~cs460 Natural Language Processing] || both || Java Perl Prolog || 2004 onwards&lt;br /&gt;
|-&lt;br /&gt;
|India || International Institute of Information Technology IIIT Hyderabad || Natural Language Processing || both || Perl Python Java || 2001 onwards&lt;br /&gt;
|-&lt;br /&gt;
|India || International Institute of Information Technology IIIT Hyderabad || Applications to Natural Language Processing || both || Perl Python Java || 2001 onwards&lt;br /&gt;
|-&lt;br /&gt;
|Iran || University of Tehran ||[http://ece.ut.ac.ir/Classpages/S87/ECE500/index.htm Intelligent Information Retrieval ] ||both || ||2008&lt;br /&gt;
|-&lt;br /&gt;
|Iran || University of Tehran ||[http://ece.ut.ac.ir/classpages/F85/NaturalLanguageProcessing/ Natural Language Processing ] ||both || ||2008&lt;br /&gt;
|-&lt;br /&gt;
|Ireland ||Dublin City University ||[http://www.compapp.dcu.ie/~john/ca261.html Computational Linguistics 2 ] ||Undergraduate ||Java Perl ||2003&lt;br /&gt;
|-&lt;br /&gt;
|Ireland ||Dublin City University ||[http://www.computing.dcu.ie/~away/CL2/cl.html Computational Linguistics I ] ||Undergraduate ||Prolog ||2003&lt;br /&gt;
|-&lt;br /&gt;
|Israel ||University of Haifa ||[http://cs.haifa.ac.il/~shuly/teaching/index.html Computational Linguistics ] ||Both || ||2006&lt;br /&gt;
|-&lt;br /&gt;
|Italy ||University of Bologna ||[http://www.cilta.unibo.it/LingComp/ Linguistica Computazionale ] ||Both || ||2003&lt;br /&gt;
|-&lt;br /&gt;
|Italy ||Universita&#039; di Padova ||Natural Language Processing ||Graduate ||C++ Perl ||2003&lt;br /&gt;
|-&lt;br /&gt;
|Italy ||University of Siena||[http://www.ciscl.unisi.it/corsi.htm?id=29 Linguistica Computazionale ] ||Both || C Java PHP ||2006&lt;br /&gt;
|-&lt;br /&gt;
|Japan ||Japan Advanced Institute of Science and Technology ||[http://www.jaist.ac.jp/~gakusei/kyoumu/syllabi22/eng/2010_1I223.html Natural Language Processing I] ||Graduate ||C Perl ||1998 onwards&lt;br /&gt;
|-&lt;br /&gt;
|Japan ||Japan Advanced Institute of Science and Technology ||[http://www.jaist.ac.jp/~gakusei/kyoumu/syllabi22/eng/2010_1I414.html Natural Language Processing II] ||Graduate ||C Perl ||2001 onwards&lt;br /&gt;
|-&lt;br /&gt;
|Japan ||Japan Advanced Institute of Science and Technology ||[http://www.jaist.ac.jp/~gakusei/kyoumu/syll14/k417e.html Methodology for Knowledge Discovery ] ||Graduate ||C Perl ||2003&lt;br /&gt;
|-&lt;br /&gt;
|Japan ||Yamagata University ||[http://www.yz.yamagata-u.ac.jp Natural Language Processing ] ||Undergraduate || ||2003&lt;br /&gt;
|-&lt;br /&gt;
|Japan ||Yamaguchi University ||Introduction to Computational Linguistics ||Undergraduate || ||2003&lt;br /&gt;
|-&lt;br /&gt;
|Korea ||Postech ||[http://nlp.postech.ac.kr/Course/CS704/index.html Machine Learning for NLP ] ||Graduate ||C C++ ||2003&lt;br /&gt;
|-&lt;br /&gt;
|Korea ||Postech, Korea ||[http://nlp.postech.ac.kr/Course/CS730b/2001/index.html Statistical Natural Language Processing ] ||Graduate ||C C++ ||2003&lt;br /&gt;
|-&lt;br /&gt;
|Mexico ||National Polytechnic Institute ||[http://www.gelbukh.com/clbook/ Computational linguistics] ||Both || Perl, C++ ||2010&lt;br /&gt;
|-&lt;br /&gt;
|Mexico ||National Polytechnic Institute ||[http://www.gelbukh.com/courses/ Information Retrieval] ||Both || Perl, C++ ||2010&lt;br /&gt;
|-&lt;br /&gt;
|New Zealand ||University of Otago ||Computational linguistics ||Graduate ||Prolog ||2003&lt;br /&gt;
|-&lt;br /&gt;
|Norway ||University of Trondheim ||[http://www.idi.ntnu.no/~natlang/ Natural Language Interfaces ] ||Undergraduate ||Prolog ||2003&lt;br /&gt;
|-&lt;br /&gt;
|Poland ||Warsaw University ||[https://usosweb.mimuw.edu.pl/kontroler.php?_action=actionx:katalog2/przedmioty/pokazPrzedmiot(prz_kod:3301-JF-21J-SO) Computational Syntax ] ||Undergraduate ||Prolog ||2007&lt;br /&gt;
|-&lt;br /&gt;
|Poland ||Warsaw University ||[https://usosweb.mimuw.edu.pl/kontroler.php?_action=actionx:katalog2/przedmioty/pokazPrzedmiot(prz_kod:1000-2M07LK) Linguistic Engineering - Constructions ] ||Both ||Perl, Python, etc. ||2007&lt;br /&gt;
|-&lt;br /&gt;
|Poland ||Warsaw University ||[https://usosweb.mimuw.edu.pl/kontroler.php?_action=actionx:katalog2/przedmioty/pokazPrzedmiot(prz_kod:1000-2M07LS) Linguistic Engineering - Words ] ||Both ||Perl, Python, etc. ||2007&lt;br /&gt;
|-&lt;br /&gt;
|Portugal ||University of Lisbon ||[http://www.di.fc.ul.pt/sobre/?lei-detalhesdisciplinas#PLN Natural Language Processing ] ||Both ||Prolog ||2003&lt;br /&gt;
|-&lt;br /&gt;
|Portugal ||University of Lisbon ||[http://www.di.fc.ul.pt/sobre/?lei-detalhesdisciplinas#ILN Interaction in Natural Language ] ||Both ||C Java Perl Prolog Python ||2003&lt;br /&gt;
|-&lt;br /&gt;
|Portugal ||University of Lisbon ||[http://www.di.fc.ul.pt/sobre/?lei-detalhesdisciplinas#MQL Quantitative Language Nodelling ] ||Both ||Java Perl Prolog Python ||2003&lt;br /&gt;
|-&lt;br /&gt;
|Romania ||University A.I. Cuza, Iasi ||[http://www.infoiasi.ro/fcs/en/plan/plan-1-ml.html Introduction to Computational Linguistics, Corpus Linguistics ] ||Graduate ||C C++ Java Lisp Perl ||2003&lt;br /&gt;
|-&lt;br /&gt;
|Slovenia ||University of Ljubljana ||[http://www.ff.uni-lj.si/hp/pj/seminar/bes_in_rac.html Besedilo in ra&amp;amp;#269;unalnik ] ||Undergraduate || ||2003&lt;br /&gt;
|-&lt;br /&gt;
|Singapore ||National University of Singapore ||[http://www.comp.nus.edu.sg/ Natural Language Processing ] ||Both || ||2012&lt;br /&gt;
|-&lt;br /&gt;
|Spain ||University of the Basque Country and Udako Euskal Unibertsitatea ||[http://ixa.si.ehu.es/master/diseinua_html Hizkuntzaren Azterketa eta Prozesamendua (Analysis and Processing of Language) ] ||Graduate || Perl ||2008 &lt;br /&gt;
|-&lt;br /&gt;
|Spain ||University of the Basque Country ||[http://moodle.ehu.es/moodle/course/view.php?id=1025 Lengoaia Naturalaren Prozesamendua (Natural Language Processing) ] [http://moodle.ehu.es/moodle/course/view.php?id=971 (es) ]||Undergraduate ||Lisp Prolog Python||2008&lt;br /&gt;
|-&lt;br /&gt;
|Spain ||Universidad Complutense de Madrid || Lingüística Computacional ||Undergraduate ||Lisp Prolog ||2003&lt;br /&gt;
|-&lt;br /&gt;
|Spain ||Universitat Autònoma de Barcelona ||[http://liceu.uab.es/~joaquim/Tecnologies_Parla.html Tecnologies de la parla (Speech Technologies) ] ||Graduate || ||2006&lt;br /&gt;
|-&lt;br /&gt;
|Spain ||Universidad Autónoma de Madrid ||[http://www.eps.uam.es/~ealfon/nlp/ Procesamiento de Lenguaje Natural ] ||Graduate || ||2006&lt;br /&gt;
|-&lt;br /&gt;
|Spain ||Universidade da Coruña ||[http://www.grupolys.org/docencia/ln/ Lenguajes Naturales ] ||Undergraduate ||Java C Python  ||2009&lt;br /&gt;
|-&lt;br /&gt;
|Sri Lanka ||University of Colombo School of Computing||Natural Language Processing ||Both ||Prolog, Python  ||2009&lt;br /&gt;
|-&lt;br /&gt;
|Sweden ||[http://www.gu.se/ Göteborg University] ||[http://www.cling.gu.se/ Computational Linguistics ] ||Undergraduate ||Java Prolog  Python Oz Perl||2006&lt;br /&gt;
|-&lt;br /&gt;
|Sweden ||Linköping University ||[http://www.ida.liu.se/~TDDB71/ Språkteknologi (Language technology) ] ||Undergraduate ||Java Lisp Perl ||2003&lt;br /&gt;
|-&lt;br /&gt;
|Sweden ||Linköping University ||[http://www.ida.liu.se/~TDDB73/ Språkteknologiska system (Language Engineering Systems) ] ||Undergraduate ||Java Lisp ||2003&lt;br /&gt;
|-&lt;br /&gt;
|Sweden ||Lunds tekniska högskola ||[http://www.cs.lth.se/Education/Courses/EDA171/ Language processing and computational linguistics ] ||Undergraduate ||Perl Prolog ||2006&lt;br /&gt;
|-&lt;br /&gt;
|Sweden ||[http://www.gslt.hum.gu.se/ Swedish National Graduate School of Language Technology] ||[http://www.gslt.hum.gu.se/courses/ Ph.D. Courses in Language Technology ] ||Graduate || ||2006&lt;br /&gt;
|-&lt;br /&gt;
|Sweden ||Uppsala University ||[http://stp.lingfil.uu.se/utbildning/ Language Technology ] ||Undergraduate ||Java Prolog Python||2006&lt;br /&gt;
|-&lt;br /&gt;
|Sweden ||Växjö University ||[http://w3.msi.vxu.se/~nivre/teaching/nlp/dac723.html Language Technology ] ||Undergraduate || ||2006&lt;br /&gt;
|-&lt;br /&gt;
|Switzerland ||Swiss Federal Institute of Technology ||[http://lithwww.epfl.ch/teaching/rdf/ Pattern Recognition ] ||Undergraduate ||C++ Perl ||2003&lt;br /&gt;
|-&lt;br /&gt;
|Switzerland ||University of Zurich ||[http://www.cl.unizh.ch/siclemat/lehre/ss02/pcl2/ Programming Techniques in Computational Linguistics II ] ||Undergraduate ||Prolog ||2003&lt;br /&gt;
|-&lt;br /&gt;
|Switzerland ||University of Zurich ||[http://www.cl.unizh.ch/siclemat/lehre/ws0102/pcl1/ Programming Techniques in Computational Linguistics I ] ||Undergraduate ||Prolog ||2003&lt;br /&gt;
|-&lt;br /&gt;
|Switzerland ||University of Zurich  ||[http://www.ifi.unizh.ch/CL/hess/classes/dsa/ Discourse Analysis ] ||Graduate ||Prolog ||2003&lt;br /&gt;
|-&lt;br /&gt;
|Switzerland ||University of Zurich ||[http://www.ifi.unizh.ch/CL/hess/classes/ecl Introduction to Computational Linguisticss  ] ||Undergraduate ||Prolog ||2003&lt;br /&gt;
|-&lt;br /&gt;
|Switzerland ||University of Zurich  ||[http://www.ifi.unizh.ch/CL/hess/classes/mki/ AI Methods in Computational Linguistics ] ||Graduate ||Prolog ||2003&lt;br /&gt;
|-&lt;br /&gt;
|Switzerland ||University of Zurich  ||[http://www.ifi.unizh.ch/CL/hess/classes/sma/ Methods of Semantic Analysis ] ||Undergraduate ||Prolog ||2003&lt;br /&gt;
|-&lt;br /&gt;
|Switzerland ||Zurich University ||[http://www.ifi.unizh.ch/cl/klenner/lehre/ws0203/fg.html/ Statistical Natural Language Processing ] ||Undergraduate || ||2003&lt;br /&gt;
|-&lt;br /&gt;
|Taiwan ||[http://www.nccu.edu.tw/english/main.php National Chengchi University] || [http://www.cs.nccu.edu.tw/~chaolin/courses/nlp06f.html Natural Language Processing] || Graduate || student choice || 2006&lt;br /&gt;
|-&lt;br /&gt;
|Taiwan ||National Taiwan University ||[http://nlg.csie.ntu.edu.tw/courses/IR/course_IR.html Information Retrieval and Extraction] ||Both ||Student Choice ||2006&lt;br /&gt;
|-&lt;br /&gt;
|Taiwan ||National Taiwan University ||[http://nlg.csie.ntu.edu.tw/courses/NLP/ Natural Language Processing] ||Both ||Student Choice||2006&lt;br /&gt;
|-&lt;br /&gt;
|Taiwan ||National Tsing Hua University ||Natural Language Processing ||Graduate ||Foxpro ||2006&lt;br /&gt;
|-&lt;br /&gt;
|Taiwan ||National Tsing Hua University ||Natural Language Processing Lab ||Graduate ||Foxpro ||2006&lt;br /&gt;
|-&lt;br /&gt;
|Taiwan ||The Institute of Linguistics, Academia Sinica ||[http://clclp.ling.sinica.edu.tw/ Computational Linguistics and Chinese Language Processing] ||Graduate || ||2005&lt;br /&gt;
|-&lt;br /&gt;
|Thailand ||Chulalongkorn University ||[http://pioneer.chula.ac.th/~awirote/ling/2209674.htm Computational Linguistics I ] ||Graduate ||Perl Prolog ||2003&lt;br /&gt;
|-&lt;br /&gt;
|Turkey ||Middle East Technical University ||[http://www.ceng.metu.edu.tr/~bozsahin/nli/ceng563/ computational linguistics I ] ||Graduate ||Prolog ||2003&lt;br /&gt;
|-&lt;br /&gt;
|Turkey ||Middle East Technical University ||[http://www.ceng.metu.edu.tr/~bozsahin/nli/ceng584/ cognitive aspects of NLP ] ||Graduate ||C Java Lisp Prolog ||2003&lt;br /&gt;
|-&lt;br /&gt;
|UK ||Imperial College ||[http://www.hu.ic.ac.uk/translation Introduction to Language Engineering ] ||Graduate || ||2003&lt;br /&gt;
|-&lt;br /&gt;
|UK ||Loughborough University ||[http://www.lboro.ac.uk/departments/co/teaching/mcomp.html (BROKEN LINK) Natural Language and Speech Systems ] ||Undergraduate || ||2003&lt;br /&gt;
|-&lt;br /&gt;
|UK ||University of Birmingham ||[http://www.cs.bham.ac.uk/internal/modules/current/02495.html Natural Language Processing 1 ] ||Undergraduate ||Prolog ||2006&lt;br /&gt;
|-&lt;br /&gt;
|UK ||University of Birmingham ||[http://www.cs.bham.ac.uk/internal/modules/current/11223.html Natural Language Processing and Applications ] ||Both || ||2006&lt;br /&gt;
|-&lt;br /&gt;
|UK ||University of Birmingham ||[http://www.cs.bham.ac.uk/internal/modules/current/02648.html Natural Language Processing 2 ] ||Both || ||2006&lt;br /&gt;
|-&lt;br /&gt;
|UK ||University of Brighton ||[http://www.itri.brighton.ac.uk/courses/MScLex (BROKEN LINK) MSc in Lexical Computing and Lexicography ] ||Graduate ||Awk Perl ||2003&lt;br /&gt;
|-&lt;br /&gt;
|UK ||University of Brighton ||[http://www.itri.brighton.ac.uk/ Lexical Computing and Lexicography ] ||Graduate ||Perl ||2003&lt;br /&gt;
|-&lt;br /&gt;
|UK ||University of Cambridge ||[http://www.cl.cam.ac.uk/Teaching/current/NLP/ Natural Language Processing ] ||Undergraduate || ||2010&lt;br /&gt;
|-&lt;br /&gt;
|UK ||University of Cambridge ||[http://www.cl.cam.ac.uk/admissions/acs/ MPhil in Advanced Computer Science] ||Graduate || || 2010&lt;br /&gt;
|-&lt;br /&gt;
|UK ||University of Edinburgh ||[http://www.ling.ed.ac.uk/teaching/postgrad/mscslp/ M.Sc. in Speech and Language Processing ] ||Graduate ||Java Perl Prolog Python ||2003&lt;br /&gt;
|-&lt;br /&gt;
|UK ||University of Essex ||[http://courses.essex.ac.uk/lg/LG511 Computatiuonal Linguistics 1 ] ||Graduate ||Prolog ||2003&lt;br /&gt;
|-&lt;br /&gt;
|UK ||University of Essex ||[http://courses.essex.ac.uk/lg/LG519 Prolog I ] ||Graduate ||Prolog ||2003&lt;br /&gt;
|-&lt;br /&gt;
|UK ||University of Essex ||[http://courses.essex.ac.uk/lg/LG611 Computational Linguistics II ] ||Graduate ||Prolog ||2003&lt;br /&gt;
|-&lt;br /&gt;
|UK ||University of Essex ||[http://courses.essex.ac.uk/lg/LG619 Prolog II ] ||Graduate ||Prolog ||2003&lt;br /&gt;
|-&lt;br /&gt;
|UK ||University of Essex ||[http://cswww.essex.ac.uk/staff/poesio/cc437 Advanced Natural Language Engineering ] ||Graduate ||Java Perl ||2003&lt;br /&gt;
|-&lt;br /&gt;
|UK ||University of Leeds ||[http://www.comp.leeds.ac.uk/eric/ar32/ Natural Language Processing ] ||Both ||C++ Java Perl Prolog ||2003&lt;br /&gt;
|-&lt;br /&gt;
|UK ||University of Leeds ||[http://www.leeds.ac.uk/cts Computers and the Translator ] ||Undergraduate || ||2003&lt;br /&gt;
|-&lt;br /&gt;
|UK ||University of Leeds ||[http://www.leeds.ac.uk/cts Principles and Applications of MT ] ||Graduate || ||2003&lt;br /&gt;
|-&lt;br /&gt;
|UK ||University of Sheffield ||[http://www.shef.ac.uk/dcs/postgrad/taught/hlt.html M.Sc. Human Language Technology ] ||Postgraduate || ||2006&lt;br /&gt;
|-&lt;br /&gt;
|UK ||University of Sheffield ||[http://www.dcs.shef.ac.uk/intranet/teaching/modules/art/2005-6/stevenson.htm Language Engineering: Information Extraction ] ||Both || ||2006&lt;br /&gt;
|-&lt;br /&gt;
|UK ||University of Sheffield ||[http://www.dcs.shef.ac.uk/intranet/teaching/modules/level3/com4250.html Natural Language Processing ] ||Both ||Python ||2014&lt;br /&gt;
|-&lt;br /&gt;
|UK ||University of Sheffield ||[http://www.dcs.shef.ac.uk/intranet/teaching/modules/level3/com3110.html Text Processing ] ||Both ||Python ||2014&lt;br /&gt;
|-&lt;br /&gt;
|UK ||University of Sussex ||[http://www.informatics.sussex.ac.uk/courses/nlp/ Natural Language Processing ] ||Both ||Prolog Java||2006&lt;br /&gt;
|-&lt;br /&gt;
|UK ||University of Ulster ||[http://www.infj.ulst.ac.uk/nlp/ Natural Language Processing ] ||Undergraduate || ||2003&lt;br /&gt;
|-&lt;br /&gt;
|USA ||Arizona State University ||[http://www.eas.asu.edu/~cse476 (BROKEN LINK) Introduction to Natural Language Processing ] ||Both ||Java Prolog ||2003&lt;br /&gt;
|-&lt;br /&gt;
|USA ||Brandeis University ||[http://www.brandeis.edu/gsas/programs/comp_ling.html MA and PhD programs in Computational Linguistics ] ||Both ||Python, Lisp, Java ||2010 &lt;br /&gt;
|-&lt;br /&gt;
|USA ||Brigham Young University ||[http://faculty.cs.byu.edu/~ringger/CS401R/ Statistical Natural Language Processing ] ||Both ||Java ||2005 &lt;br /&gt;
|-&lt;br /&gt;
|USA ||Brigham Young University ||[http://faculty.cs.byu.edu/~ringger/CS601R/ Text Mining ] ||Graduate ||Java ||2007&lt;br /&gt;
|-&lt;br /&gt;
|USA ||Brown University ||[http://cog.brown.edu/~mj/classes/cg136/ Introduction to Computational Linguistics ] ||Both ||Python ||2006&lt;br /&gt;
|-&lt;br /&gt;
|USA ||Brown University ||[http://www.cs.brown.edu/courses/cs241/ Statistical Natural-Language Processing ] ||Graduate || ||2003&lt;br /&gt;
|-&lt;br /&gt;
|USA || Carnegie Mellon University || [http://www.cs.cmu.edu/~nasmith/NLP Natural Language Processing] || Undergraduate || various || 2008&lt;br /&gt;
|-&lt;br /&gt;
|USA ||Carnegie Mellon University ||[http://www.cs.cmu.edu/afs/cs.cmu.edu/project/cmt-55/lti/Courses/711/www/ Algorithms for Natural Language Processing ] ||Graduate || ||2006&lt;br /&gt;
|-&lt;br /&gt;
|USA ||Carnegie Mellon University ||[http://www.cs.cmu.edu/afs/cs.cmu.edu/project/cmt-55/lti/Courses/721/2006/www/ Grammars and Lexicons ] ||Graduate || LISP ||2006&lt;br /&gt;
|-&lt;br /&gt;
| USA || Carnegie Mellon University || [http://www.cs.cmu.edu/~roni/11761-s07 Language and Statistics I] || Graduate || || 2007&lt;br /&gt;
|-&lt;br /&gt;
| USA || Carnegie Mellon University || [http://www.cs.cmu.edu/~nasmith/LS2 Language and Statistics II] || Graduate || || 2007&lt;br /&gt;
|-&lt;br /&gt;
|USA ||Carleton College ||[http://www.mathcs.carleton.edu/faculty/jondich/cs395/ (BROKEN LINK) Natural Language Processing ] ||Undergraduate ||C++ Perl ||2003&lt;br /&gt;
|-&lt;br /&gt;
|USA ||Cornell University ||[http://www.cs.cornell.edu/courses/cs172 Computation, Information, and Intelligence ] ||Undergraduate || ||2008&lt;br /&gt;
|-&lt;br /&gt;
|USA ||Cornell University ||[http://courses.cit.cornell.edu/ling4424 Computational Linguistics ] ||Undergraduate || ||2013&lt;br /&gt;
|-&lt;br /&gt;
|USA ||Cornell University ||[http://www.cs.cornell.edu/courses/cs4300 Information Retrieval ] ||Undergraduate || ||2013&lt;br /&gt;
|-&lt;br /&gt;
|USA ||Cornell University ||[http://www.cs.cornell.edu/courses/cs4740 Introduction to Natural Language Processing  ] ||Undergraduate || ||2014&lt;br /&gt;
|-&lt;br /&gt;
|USA ||Cornell University ||[http://www.cs.cornell.edu/courses/cs6740 Advanced Language Technologies  ] ||Graduate || ||2012&lt;br /&gt;
|-&lt;br /&gt;
|USA ||Cornell University ||[http://www.cs.cornell.edu/courses/cs6742 Natural Language Processing and Social Interaction  ] ||Graduate || ||2014&lt;br /&gt;
|-&lt;br /&gt;
|USA ||Cornell University || Speech Synthesis by Rule||Graduate || ||2008&lt;br /&gt;
|-&lt;br /&gt;
|USA ||Cornell University ||[http://www.cs.cornell.edu/courses/cs775/2001sp/default.html Statistical Natural Language Processing: Models and Methods ] ||Graduate || ||2010&lt;br /&gt;
|-&lt;br /&gt;
|USA ||CUNY Graduate Center ||[http://bb.gc.cuny.edu/ (BROKEN LINK) Language Technology ] ||Graduate ||Perl ||2003&lt;br /&gt;
|-&lt;br /&gt;
|USA ||Emory University ||[https://github.com/emory-courses/cs329 Computational Linguistics ] ||Undergraduate ||Python ||2016&lt;br /&gt;
|-&lt;br /&gt;
|USA ||Emory University ||[https://github.com/emory-courses/cs571 Natural Language Processing ] ||Both ||Java ||2015&lt;br /&gt;
|-&lt;br /&gt;
|USA ||Georgetown University ||[http://www9.georgetown.edu/faculty/mad87/06/362/ Introduction to Natural Language Processing ] ||Both ||Perl ||2006&lt;br /&gt;
|-&lt;br /&gt;
|USA ||Georgetown University ||[http://www.georgetown.edu/faculty/wilsong/Tools/Ling367.html Computational Linguistics: Tools for Linguists ] ||Both || ||2006&lt;br /&gt;
|-&lt;br /&gt;
|USA ||Georgetown University ||[http://www9.georgetown.edu/faculty/mad87/06/561/ Seminar: Computational Linguisics ] ||Graduate ||Python ||2006&lt;br /&gt;
|-&lt;br /&gt;
|USA ||Georgetown University ||[http://www9.georgetown.edu/faculty/mad87/06/420/ Statistical NLP] ||Both ||Python ||2006&lt;br /&gt;
|-&lt;br /&gt;
|USA ||Harvard University ||[http://www.courses.fas.harvard.edu/~cs187/ Introduction to Computational Linguistics ] ||Both ||Prolog ||2006&lt;br /&gt;
|-&lt;br /&gt;
|USA ||Hunter College CUNY  ||[http://bb.hunter.cuny.edu/ Language Technology ] ||Undergraduate ||C++ ||2003&lt;br /&gt;
|-&lt;br /&gt;
|USA ||Johns Hopkins University ||[http://www.cs.jhu.edu/~jason/465  Natural Language Processing ] ||Both ||student choice ||2006&lt;br /&gt;
|-&lt;br /&gt;
|USA ||Johns Hopkins University ||[http://www.clsp.jhu.edu/~sanjeev/520.666/ Information Extraction ] ||Graduate ||  ||2006&lt;br /&gt;
|-&lt;br /&gt;
|USA ||Johns Hopkins University ||[http://www.cs.jhu.edu/~jason/465  Seminar in Natural Language Processing ] ||Graduate ||  ||2006&lt;br /&gt;
|-&lt;br /&gt;
|USA ||Johns Hopkins University ||[http://cs.jhu.edu/~jason/405/ Finite-State Methods in Natural Language Processing ] ||Graduate || ||2003&lt;br /&gt;
|-&lt;br /&gt;
|USA ||Johns Hopkins University ||[http://cs.jhu.edu/~jason/665/ Statistical Language Learning ] ||Graduate || ||2003&lt;br /&gt;
|-&lt;br /&gt;
|USA ||Johns Hopkins University ||[http://apl.jhu.edu/~paulmac/ir.html Information Retrieval ] ||Graduate || ||2010&lt;br /&gt;
|-&lt;br /&gt;
|USA ||The Ohio State University ||[http://www.cse.ohio-state.edu/~fosler/794L/ Foundations of Spoken Language Processing ] ||Both ||MATLAB student choice ||2006&lt;br /&gt;
|-&lt;br /&gt;
|USA ||The Ohio State University ||[http://www.cse.ohio-state.edu/cgi-bin/syllabus-view.cgi?cgi_state=view;SYLLABUS_ID=598 Computational Linguistics ] ||Both ||Java ||2006&lt;br /&gt;
|-&lt;br /&gt;
|USA ||The Ohio State University ||[http://ling.ohio-state.edu/courses/course_info/?course_no=684.01 Symbolic Computational Linguistics ] ||Both || Prolog ||2003&lt;br /&gt;
|-&lt;br /&gt;
|USA ||The Ohio State University ||[http://ling.ohio-state.edu/courses/course_info/?course_no=684.02 Data-Intensive Computational Linguistics ] ||Both || Python ||2003&lt;br /&gt;
|-&lt;br /&gt;
|USA ||The Ohio State University ||[http://ling.ohio-state.edu/courses/course_info/?course_no=684.03 Computational Semantics ] ||Both || Prolog ||2006&lt;br /&gt;
|-&lt;br /&gt;
|USA ||Purdue University ||[http://min.ecn.purdue.edu/~ee669/ Natural Language Processing ] ||Graduate ||C C++ Java Lisp Perl Python ||2003&lt;br /&gt;
|-&lt;br /&gt;
|USA ||Rutgers University ||[http://www.cs.rutgers.edu/~mdstone/class/533 (BROKEN LINK) Natural Language Processing ] ||Both ||Java Perl Prolog ||2003&lt;br /&gt;
|-&lt;br /&gt;
|USA ||San Diego State University ||Computational Corpus Linguistics ||Both ||Python ||2006&lt;br /&gt;
|-&lt;br /&gt;
|USA ||San Diego State University ||Introduction to Computational Linguistics ||Both ||Python ||2006&lt;br /&gt;
|-&lt;br /&gt;
|USA ||Smith College ||Introduction to Computational Linguistics ||Undergraduate ||Lisp ||2003&lt;br /&gt;
|-&lt;br /&gt;
|USA ||Stanford University ||[http://www.stanford.edu/class/cs224n/ Natural Language Processing ] ||Both ||Java ||2006&lt;br /&gt;
|-&lt;br /&gt;
|USA ||Stanford University ||[http://www.stanford.edu/class/linguist180/ Introduction to Computer Speech and Language Processing ] ||Undergraduate ||Perl Python Java ||2006&lt;br /&gt;
|-&lt;br /&gt;
|USA ||Stanford University ||[http://www.stanford.edu/class/linguist288/ Natural Language Understanding ] ||Both || ||2006&lt;br /&gt;
|-&lt;br /&gt;
|USA ||Stanford University ||[http://www.stanford.edu/~mjkay/ Human and Machine Translation]||Both || ||2006&lt;br /&gt;
|-&lt;br /&gt;
|USA ||Stanford University ||[http://www.stanford.edu/~mjkay/ Programming and Algorithms for NLP]||Both || ||2006&lt;br /&gt;
|-&lt;br /&gt;
|USA ||Stanford University || Finite-State Methods in NLP||Both || ||2006&lt;br /&gt;
|-&lt;br /&gt;
|USA ||Stony Brook University ||[http://www.cs.sunysb.edu/~cse507 (BROKEN LINK) Introduction to Computational Linguistics ] ||Graduate ||Java Perl Prolog ||2003&lt;br /&gt;
|-&lt;br /&gt;
|USA ||SUNY Buffalo ||[http://www.cse.buffalo.edu/faculty/alphonce/Courses/Fall2006/cse467 Computational Linguistics ] ||Both||Lisp Perl||2006&lt;br /&gt;
|-&lt;br /&gt;
|USA ||SUNY Buffalo ||[http://www.cse.buffalo.edu/~rapaport/675.html Advanced Topics in Computational Linguistics ] ||Graduate ||Lisp ||2006&lt;br /&gt;
|-&lt;br /&gt;
|USA ||The University of Chicago ||[http://humanities.uchicago.edu/faculty/goldsmith/StatNLP/index.htm Statistical NLP ] ||Graduate ||Perl ||2003&lt;br /&gt;
|-&lt;br /&gt;
|USA ||University of California, Berkeley ||[http://www.cs.berkeley.edu/~klein/cs294-5/index.html Statistical NLP ] ||Graduate ||Java ||2005&lt;br /&gt;
|-&lt;br /&gt;
|USA ||University of California, San Diego  ||[http://ling.ucsd.edu/~kehler/ling165.html Computational Linguistics ] ||Undergraduate ||Prolog ||2003&lt;br /&gt;
|-&lt;br /&gt;
|USA ||University of California, San Diego || Natural Language Processing in LISP ||Graduate ||Lisp ||2003&lt;br /&gt;
|-&lt;br /&gt;
|USA ||University of Colorado, Boulder || [http://verbs.colorado.edu/~mpalmer/Ling7800/index.html Advanced Computational Linguistics] || Graduate ||||2007&lt;br /&gt;
|-&lt;br /&gt;
|USA ||University of Colorado, Boulder || [http://www.colorado.edu/catalog/catalog05-06/cgi-bin/search.pl?abbr=ling&amp;amp;num=5200 Computational Corpus Linguistics ] || Graduate || Python || 2009&lt;br /&gt;
|-&lt;br /&gt;
|USA ||University of Colorado, Boulder || [http://www.colorado.edu/catalog/catalog09-10/search.pl?abbr=CSCI&amp;amp;num=5832&amp;amp;=Search Natural Language Processing ] || Graduate || Python || 2009&lt;br /&gt;
|-&lt;br /&gt;
|USA ||University of Colorado, Boulder || Natural Language Processing ||Undergraduate ||||2000&lt;br /&gt;
|-&lt;br /&gt;
|USA ||University of Colorado, Boulder ||[http://www.cs.colorado.edu/courses/csci6302.html Speech Recognition and Synthesis ]||Graduate ||||2002&lt;br /&gt;
|-&lt;br /&gt;
|USA ||University of Central Florida ||Advanced Artificial Intelligence ||Graduate ||Lisp ||2003&lt;br /&gt;
|-&lt;br /&gt;
|USA ||University of Central Florida ||Natural Language Understanding || ||Lisp Perl ||2003&lt;br /&gt;
|-&lt;br /&gt;
|USA ||University of Chicago ||[http://humanities.uchicago.edu/faculty/goldsmith/Industrial/syllabus.htm An Overview of Industrial Linguistics ] ||Graduate ||Perl ||2003&lt;br /&gt;
|-&lt;br /&gt;
|USA ||University of Georgia ||[http://www.ai.uga.edu/~mc/nlpfaq.html Applied Natural Language Processing ] ||Graduate ||Python ||2003&lt;br /&gt;
|-&lt;br /&gt;
|USA ||University of Georgia ||[http://www.ai.uga.edu/~mc/nlpfaq.html Natural Language Processing Techniques ] ||Graduate ||Prolog ||2003&lt;br /&gt;
|-&lt;br /&gt;
|USA ||University of Illinois - Chicago ||[http://www.cs.uic.edu/~bdieugen/teaching.html Natural Language Processing ] ||Both ||C Java Lisp Perl ||2003&lt;br /&gt;
|-&lt;br /&gt;
|USA ||University of Illinois - Urbana Champaign ||[http://catarina.ai.uiuc.edu/L406_06/ Introduction to Computational Linguisticss ] ||Both ||||2006&lt;br /&gt;
|-&lt;br /&gt;
|USA ||University of Illinois - Urbana Champaign ||[http://l2r.cs.uiuc.edu/#teaching Machine Learning and Natural Language ] ||Graduate ||||2005&lt;br /&gt;
|-&lt;br /&gt;
|USA ||University of Illinois - Urbana Champaign ||[http://l2r.cs.uiuc.edu/#teaching Machine Learning] ||Both ||||2005&lt;br /&gt;
|-&lt;br /&gt;
|USA ||University of Maryland, College Park ||[http://www.clis2.umd.edu/courses/796 (BROKEN LINK) Information Retrieval Systems ] ||Graduate ||C C++ Java ||2003&lt;br /&gt;
|-&lt;br /&gt;
|USA ||University of Maryland, College Park ||[http://www.umiacs.umd.edu/~resnik/ling723/ Computational Linguistics I ] ||Graduate || Perl ||2006&lt;br /&gt;
|-&lt;br /&gt;
|USA ||University of Maryland, College Park ||[http://www.umiacs.umd.edu/~resnik/ling647/ Computational Linguistics II ] ||Graduate || Perl ||2006&lt;br /&gt;
|-&lt;br /&gt;
|USA ||University of Maryland, College Park ||[http://www.umiacs.umd.edu/~resnik/ling848_fa2004/ Seminar in Computational Linguistics ] ||Graduate || ||2004&lt;br /&gt;
|-&lt;br /&gt;
|USA ||University of Michigan ||[http://www.eecs.umich.edu/~radev/LNI-winter2004 Language and Information ] ||Both || ||2004&lt;br /&gt;
|-&lt;br /&gt;
|USA ||University of Michigan ||[http://www.eecs.umich.edu/~radev/650w10 Information Retrieval ] ||Both || ||2005&lt;br /&gt;
|-&lt;br /&gt;
|USA ||University of Michigan ||[http://www.eecs.umich.edu/~radev/NLP-winter2013 Natural Language Processing ] ||Both || ||2005&lt;br /&gt;
|-&lt;br /&gt;
|USA ||University of Michigan ||[http://www.eecs.umich.edu/~radev/767w10 Advanced NLP/IR ] ||Graduate || ||2006&lt;br /&gt;
|-&lt;br /&gt;
|USA ||University of Minnesota, Duluth ||[http://www.d.umn.edu/~tpederse/teaching.html Introduction to Natural Language Processing ] ||Undergraduate ||Perl ||2003&lt;br /&gt;
|-&lt;br /&gt;
|USA ||University of Minnesota, Duluth ||[http://www.d.umn.edu/~tpederse/teaching.html Natural Language Processing ] ||Graduate ||Perl ||2003&lt;br /&gt;
|-&lt;br /&gt;
|USA ||University of North Texas ||[http://www.cs.unt.edu/~rada/CSCE5290 Natural Language Processing ] ||Graduate ||Perl ||2006&lt;br /&gt;
|-&lt;br /&gt;
|USA ||University of Pennsylvania ||[http://www.cis.upenn.edu/~cis520 Introduction to Artificial Intelligence ] ||Graduate || ||2003&lt;br /&gt;
|-&lt;br /&gt;
|USA ||University of Pennsylvania ||[http://www.cis.upenn.edu/~cis630 Advanced Topics in Natural Language Processing ] ||Graduate ||C++ Java Perl Python ||2003&lt;br /&gt;
|-&lt;br /&gt;
|USA ||University of Pennsylvania ||[http://www.cis.upenn.edu/~cse391 Introduction to Artificial Intelligence ] ||Undergraduate ||Prolog ||2003&lt;br /&gt;
|-&lt;br /&gt;
|USA ||University of Pittsburgh ||[http://www.cs.pitt.edu/~litman/courses/CS3730/cs3730.html Natural Language Processing ] ||Graduate || ||2003&lt;br /&gt;
|-&lt;br /&gt;
|USA ||University of Rochester ||[http://www.cs.rochester.edu/~schubert/247-447/ Natural Language Processing ] ||Both ||Lisp ||2006&lt;br /&gt;
|-&lt;br /&gt;
|USA ||University of Rochester ||[http://www.cs.rochester.edu/~gildea/2006_Fall/ Language, Parsing, and Complexity ] ||Both || ||2006&lt;br /&gt;
|-&lt;br /&gt;
|USA ||University of Rochester ||[http://www.cs.rochester.edu/~gildea/2005_Fall/ Speech Recognition and Statistical Natural Language Processing ] ||Both || ||2005&lt;br /&gt;
|-&lt;br /&gt;
|USA ||University of Rochester ||[http://www.cs.rochester.edu/~gildea/2004_Spring/ Seminar in AI: Statistical Machine Translation ] ||Graduate || ||2004&lt;br /&gt;
|-&lt;br /&gt;
|USA ||University of Southern California ||[http://www.isi.edu/~marcu/544/ Introduction to Natural Language Processing ] ||Graduate || ||2003&lt;br /&gt;
|-&lt;br /&gt;
|USA ||University of Southern California  ||[http://www.isi.edu/~marcu/544/ Natural Language Processing  ] ||Graduate ||C++ Java Lisp Perl ||2003&lt;br /&gt;
|-&lt;br /&gt;
|USA ||University of Southern California  ||[http://www.isi.edu/natural-language/people/cs562-f2006-syll.htm Empirical Methods in Natural Language Processing  ] ||Graduate || ||2006&lt;br /&gt;
|-&lt;br /&gt;
|USA ||University of St. Thomas, Saint Paul MN ||Information Retrieval ||Graduate ||C Java Perl Python ||2003&lt;br /&gt;
|-&lt;br /&gt;
|USA ||University of Texas at Austin ||[http://comp.ling.utexas.edu/jbaldrid/icl Introduction to Computational Linguistics ] ||Undergraduate||Python||2006&lt;br /&gt;
|-&lt;br /&gt;
|USA ||University of Texas at Austin ||Natural Language Processing||Undergraduate||Python, Java||[http://comp.ling.utexas.edu/courses/2008/fall/natural_language_processing 2008]&lt;br /&gt;
|-&lt;br /&gt;
|USA ||University of Texas at Austin ||Natural Language Processing||Graduate||Java||[http://www.cs.utexas.edu/~mooney/cs388/ 2008]&lt;br /&gt;
|-&lt;br /&gt;
|USA ||University of Texas at Austin ||Computational Linguistics I ||Graduate||Python||[http://www.utexas.edu/courses/jbaldrid/2006/compling1 2006], [http://comp.ling.utexas.edu/courses/2007/cl1/ 2007], [http://comp.ling.utexas.edu/courses/2008/cl1_08/ 2008]&lt;br /&gt;
|-&lt;br /&gt;
|USA ||University of Texas at Austin ||Computational Linguistics II ||Graduate||Python Java||[http://comp.ling.utexas.edu/jbaldrid/cl2 2006], [http://comp.ling.utexas.edu/courses/2007/cl2_07/ 2007]&lt;br /&gt;
|-&lt;br /&gt;
|USA ||University of Texas at Austin&lt;br /&gt;
||Intro to working with corpora and programming || Both||Python||[http://comp.ling.utexas.edu/erk/corpora06.html 2006] [http://comp.ling.utexas.edu/courses/2007/corpora07/ 2007]&lt;br /&gt;
|-&lt;br /&gt;
|USA ||University of Texas at El Paso ||[http://www.cs.utep.edu/nigel/nlp/ Statistical Approaches to Natural Language Processing ] ||Both ||Perl ||2006&lt;br /&gt;
|-&lt;br /&gt;
|USA ||University of Utah ||[http://www.cs.utah.edu/classes/cs5340 Natural Language Processing ] ||Both ||C C++ Java Lisp Perl ||2003&lt;br /&gt;
|-&lt;br /&gt;
|USA ||University of Washington||[http://courses.washington.edu/ling472 Introduction to Computational Linguistics] ||Undergraduate ||Perl ||2006&lt;br /&gt;
|-&lt;br /&gt;
|USA ||University of Washington||[http://courses.washington.edu/ling570/ Shallow Methods in Natural Language Processing]||Graduate ||Python Java C++ Perl||2007&lt;br /&gt;
|-&lt;br /&gt;
|USA ||University of Washington||[http://courses.washington.edu/ling571/   Deep Processing Techniques for Natural Language Processing] ||Graduate ||Python Java C++ Perl||2007&lt;br /&gt;
|-&lt;br /&gt;
|USA ||University of Washington||[http://courses.washington.edu/ling572/  Advanced Statistical Methods for Natural Language Processing] ||Graduate ||Python Java C++ Perl||2008&lt;br /&gt;
|-&lt;br /&gt;
|USA ||University of Washington||[http://courses.washington.edu/ling573/ Systems/Applications] ||Graduate ||Python Java C++ Perl||2008&lt;br /&gt;
|-&lt;br /&gt;
|USA ||University of Washington||[http://courses.washington.edu/ling567 Knowledge Engineering for NLP] ||Graduate ||tdl ||2006&lt;br /&gt;
|-&lt;br /&gt;
|USA ||University of Wisconsin-Madison ||Intensive Computational Linguistics ||Both ||C++ Java ||2003&lt;br /&gt;
|- &lt;br /&gt;
|USA ||University of Wisconsin-Madison ||[http://www.cs.wisc.edu/~jerryzhu/cs769.html Advanced Natural Language Processing ] ||Graduate||student choice||2008&lt;br /&gt;
|- |]&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
[[Category:Education]]&lt;br /&gt;
[[Category:Natural language processing]]&lt;/div&gt;</summary>
		<author><name>Jdchoi</name></author>
	</entry>
	<entry>
		<id>https://www.aclweb.org/aclwiki/index.php?title=POS_Tagging_(State_of_the_art)&amp;diff=11451</id>
		<title>POS Tagging (State of the art)</title>
		<link rel="alternate" type="text/html" href="https://www.aclweb.org/aclwiki/index.php?title=POS_Tagging_(State_of_the_art)&amp;diff=11451"/>
		<updated>2016-04-12T23:20:16Z</updated>

		<summary type="html">&lt;p&gt;Jdchoi: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;==Test collections==&lt;br /&gt;
* &#039;&#039;&#039;Performance measure:&#039;&#039;&#039; per token accuracy. (The convention is for this to be measured on all tokens, including punctuation tokens and other unambiguous tokens.)&lt;br /&gt;
* &#039;&#039;&#039;English&#039;&#039;&#039;&lt;br /&gt;
** &#039;&#039;&#039;Penn Treebank&#039;&#039;&#039; &#039;&#039;Wall Street Journal&#039;&#039; (WSJ) release 3 (LDC99T42). The splits of data for this task were not standardized early on (unlike for parsing) and early work uses various data splits defined by counts of tokens or by sections.  Most work from 2002 on adopts the following data splits, introduced by Collins (2002):&lt;br /&gt;
*** &#039;&#039;&#039;Training data:&#039;&#039;&#039; sections 0-18&lt;br /&gt;
*** &#039;&#039;&#039;Development test data:&#039;&#039;&#039; sections 19-21&lt;br /&gt;
*** &#039;&#039;&#039;Testing data:&#039;&#039;&#039; sections 22-24&lt;br /&gt;
&lt;br /&gt;
* &#039;&#039;&#039;French&#039;&#039;&#039;&lt;br /&gt;
** &#039;&#039;&#039;French TreeBank&#039;&#039;&#039; (FTB, Abeillé et al; 2003) &#039;&#039;Le Monde&#039;&#039;, December 2007 version, 28-tag tagset (CC tagset, Crabbé and Candito, 2008). Classical data split (10-10-80):&lt;br /&gt;
*** &#039;&#039;&#039;Training data:&#039;&#039;&#039; sentences 2471 to 12351&lt;br /&gt;
*** &#039;&#039;&#039;Development test data:&#039;&#039;&#039; sentences 1236 to 2470&lt;br /&gt;
*** &#039;&#039;&#039;Testing data:&#039;&#039;&#039; sentences 1 to 1235&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
== Tables of results ==&lt;br /&gt;
&lt;br /&gt;
===WSJ===&lt;br /&gt;
&lt;br /&gt;
{| border=&amp;quot;1&amp;quot; cellpadding=&amp;quot;5&amp;quot; cellspacing=&amp;quot;1&amp;quot; width=&amp;quot;100%&amp;quot;&lt;br /&gt;
|-&lt;br /&gt;
! System name&lt;br /&gt;
! Short description&lt;br /&gt;
! Main publication&lt;br /&gt;
! Software&lt;br /&gt;
! Extra Data?***&lt;br /&gt;
! All tokens&lt;br /&gt;
! Unknown words&lt;br /&gt;
! License&lt;br /&gt;
|-&lt;br /&gt;
| TnT*&lt;br /&gt;
| Hidden markov model&lt;br /&gt;
| Brants (2000)&lt;br /&gt;
| [http://www.coli.uni-saarland.de/~thorsten/tnt/ TnT]&lt;br /&gt;
| No&lt;br /&gt;
| 96.46%&lt;br /&gt;
| 85.86%&lt;br /&gt;
| Academic/research use only ([http://www.coli.uni-saarland.de/~thorsten/tnt/tnt-license.html license])&lt;br /&gt;
|-&lt;br /&gt;
| MElt&lt;br /&gt;
| MEMM with external lexical information&lt;br /&gt;
| Denis and Sagot (2009)&lt;br /&gt;
| [https://gforge.inria.fr/projects/lingwb/ Alpage linguistic workbench]&lt;br /&gt;
| No&lt;br /&gt;
| 96.96%&lt;br /&gt;
| 91.29%&lt;br /&gt;
| CeCILL-C&lt;br /&gt;
|-&lt;br /&gt;
| GENiA Tagger**&lt;br /&gt;
| Maximum entropy cyclic dependency network&lt;br /&gt;
| Tsuruoka, et al (2005)&lt;br /&gt;
| [http://www.nactem.ac.uk/tsujii/GENIA/tagger/ GENiA]&lt;br /&gt;
| No&lt;br /&gt;
| 97.05%&lt;br /&gt;
| Not available&lt;br /&gt;
| Gratis for non-commercial usage&lt;br /&gt;
|-&lt;br /&gt;
| Averaged Perceptron&lt;br /&gt;
| Averaged Perception discriminative sequence model&lt;br /&gt;
| Collins (2002)&lt;br /&gt;
| Not available&lt;br /&gt;
| No&lt;br /&gt;
| 97.11%&lt;br /&gt;
| Not available&lt;br /&gt;
| Unknown&lt;br /&gt;
|-&lt;br /&gt;
| Maxent easiest-first&lt;br /&gt;
| Maximum entropy bidirectional easiest-first inference&lt;br /&gt;
| Tsuruoka and Tsujii (2005)&lt;br /&gt;
| [http://www-tsujii.is.s.u-tokyo.ac.jp/~tsuruoka/postagger/ Easiest-first]&lt;br /&gt;
| No&lt;br /&gt;
| 97.15%&lt;br /&gt;
| Not available&lt;br /&gt;
| Unknown&lt;br /&gt;
|-&lt;br /&gt;
| SVMTool&lt;br /&gt;
| SVM-based tagger and tagger generator&lt;br /&gt;
| Giménez and Márquez (2004)&lt;br /&gt;
| [http://www.lsi.upc.es/~nlp/SVMTool/ SVMTool]&lt;br /&gt;
| No&lt;br /&gt;
| 97.16%&lt;br /&gt;
| 89.01%&lt;br /&gt;
| LGPL 2.1&lt;br /&gt;
|-&lt;br /&gt;
| LAPOS&lt;br /&gt;
| Perceptron based training with lookahead&lt;br /&gt;
| Tsuruoka, Miyao, and Kazama (2011)&lt;br /&gt;
| [http://www.logos.t.u-tokyo.ac.jp/~tsuruoka/lapos/ LAPOS]&lt;br /&gt;
| No&lt;br /&gt;
| 97.22%&lt;br /&gt;
| Not available&lt;br /&gt;
| MIT&lt;br /&gt;
|-&lt;br /&gt;
| Morče/COMPOST&lt;br /&gt;
| Averaged Perceptron&lt;br /&gt;
| Spoustová et al. (2009)&lt;br /&gt;
| [http://ufal.mff.cuni.cz/compost COMPOST]&lt;br /&gt;
| No&lt;br /&gt;
| 97.23%&lt;br /&gt;
| Not available&lt;br /&gt;
| Non-free ([http://ufal.mff.cuni.cz/compost/register.php academic-only])&lt;br /&gt;
|-&lt;br /&gt;
| Morče/COMPOST&lt;br /&gt;
| Averaged Perceptron&lt;br /&gt;
| Spoustová et al. (2009)&lt;br /&gt;
| [http://ufal.mff.cuni.cz/compost COMPOST]&lt;br /&gt;
| Yes&lt;br /&gt;
| 97.44%&lt;br /&gt;
| Not available&lt;br /&gt;
| Unknown&lt;br /&gt;
|-&lt;br /&gt;
| Stanford Tagger 1.0&lt;br /&gt;
| Maximum entropy cyclic dependency network&lt;br /&gt;
| Toutanova et al. (2003)&lt;br /&gt;
| [http://nlp.stanford.edu/software/tagger.shtml Stanford Tagger]&lt;br /&gt;
| No&lt;br /&gt;
| 97.24%&lt;br /&gt;
| 89.04%&lt;br /&gt;
| GPL v2+&lt;br /&gt;
|-&lt;br /&gt;
| Stanford Tagger 2.0&lt;br /&gt;
| Maximum entropy cyclic dependency network&lt;br /&gt;
| Manning (2011)&lt;br /&gt;
| [http://nlp.stanford.edu/software/tagger.shtml Stanford Tagger]&lt;br /&gt;
| No&lt;br /&gt;
| 97.29%&lt;br /&gt;
| 89.70%&lt;br /&gt;
| GPL v2+&lt;br /&gt;
|-&lt;br /&gt;
| Stanford Tagger 2.0&lt;br /&gt;
| Maximum entropy cyclic dependency network&lt;br /&gt;
| Manning (2011)&lt;br /&gt;
| [http://nlp.stanford.edu/software/tagger.shtml Stanford Tagger]&lt;br /&gt;
| Yes&lt;br /&gt;
| 97.32%&lt;br /&gt;
| 90.79%&lt;br /&gt;
| GPL v2+&lt;br /&gt;
|-&lt;br /&gt;
| LTAG-spinal&lt;br /&gt;
| Bidirectional perceptron learning&lt;br /&gt;
| Shen et al. (2007)&lt;br /&gt;
| [http://www.cis.upenn.edu/~xtag/spinal/ LTAG-spinal]&lt;br /&gt;
| No&lt;br /&gt;
| 97.33%&lt;br /&gt;
| Not available&lt;br /&gt;
| Unknown&lt;br /&gt;
|-&lt;br /&gt;
| SCCN&lt;br /&gt;
| Semi-supervised condensed nearest neighbor&lt;br /&gt;
| Søgaard (2011)&lt;br /&gt;
| [http://cst.dk/anders/scnn/ SCCN]&lt;br /&gt;
| Yes&lt;br /&gt;
| 97.50%&lt;br /&gt;
| Not available&lt;br /&gt;
| Unknown&lt;br /&gt;
|-&lt;br /&gt;
| CharWNN&lt;br /&gt;
| MLP with Neural Character Embeddings&lt;br /&gt;
| dos Santos and Zadrozny (2014)&lt;br /&gt;
| Not available&lt;br /&gt;
| No&lt;br /&gt;
| 97.32%&lt;br /&gt;
| 89.86%&lt;br /&gt;
| Unknown&lt;br /&gt;
|-&lt;br /&gt;
| structReg&lt;br /&gt;
| CRFs with structure regularization&lt;br /&gt;
| Sun(2014)&lt;br /&gt;
| Not available&lt;br /&gt;
| No&lt;br /&gt;
| 97.36%&lt;br /&gt;
| Not available&lt;br /&gt;
| Unknown&lt;br /&gt;
|-&lt;br /&gt;
| BI-LSTM-CRF&lt;br /&gt;
| Bidirectional LSTM-CRF Model&lt;br /&gt;
| Huang et al. (2015)&lt;br /&gt;
| Not available&lt;br /&gt;
| No&lt;br /&gt;
| 97.55%&lt;br /&gt;
| Not available&lt;br /&gt;
| Unknown&lt;br /&gt;
|-&lt;br /&gt;
| NLP4J&lt;br /&gt;
| Dynamic Feature Induction&lt;br /&gt;
| Choi (2016)&lt;br /&gt;
| [https://github.com/emorynlp/nlp4j NLP4J]&lt;br /&gt;
| Yes&lt;br /&gt;
| 97.64%&lt;br /&gt;
| 92.03%&lt;br /&gt;
| Apache 2&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
(*) TnT: Accuracy is as reported by Giménez and Márquez (2004) for the given test collection. Brants (2000) reports 96.7% token accuracy and 85.5% unknown word accuracy on a 10-fold cross-validation of the Penn WSJ corpus.&lt;br /&gt;
&lt;br /&gt;
(**) GENiA: Results are for models trained and tested on the given corpora (to be comparable to other results).  The distributed GENiA tagger is trained on a mixed training corpus and gets 96.94% on WSJ, and 98.26% on GENiA biomedical English.&lt;br /&gt;
&lt;br /&gt;
(***) Extra data: Whether system training exploited (usually large amounts of) extra unlabeled text, such as by semi-supervised learning, self-training, or using distributional similarity features, beyond the standard supervised training data.&lt;br /&gt;
&lt;br /&gt;
===FTB===&lt;br /&gt;
&lt;br /&gt;
{| border=&amp;quot;1&amp;quot; cellpadding=&amp;quot;5&amp;quot; cellspacing=&amp;quot;1&amp;quot; width=&amp;quot;100%&amp;quot;&lt;br /&gt;
|-&lt;br /&gt;
! System name&lt;br /&gt;
! Short description&lt;br /&gt;
! Main publication&lt;br /&gt;
! Software&lt;br /&gt;
! Extra Data?***&lt;br /&gt;
! All tokens&lt;br /&gt;
! Unknown words&lt;br /&gt;
! License&lt;br /&gt;
|-&lt;br /&gt;
| Morfette&lt;br /&gt;
| Perceptron with external lexical information*&lt;br /&gt;
| Chrupała et al. (2008), Seddah et al. (2010)&lt;br /&gt;
| [http://sites.google.com/site/morfetteweb/ Morfette]&lt;br /&gt;
| No&lt;br /&gt;
| 97.68%&lt;br /&gt;
| 90.52%&lt;br /&gt;
| New BSD&lt;br /&gt;
|-&lt;br /&gt;
| SEM&lt;br /&gt;
| CRF with external lexical information*&lt;br /&gt;
| Constant et al. (2011)&lt;br /&gt;
| [http://www.univ-orleans.fr/lifo/Members/Isabelle.Tellier/SEM.html SEM]&lt;br /&gt;
| No&lt;br /&gt;
| 97.7%&lt;br /&gt;
| Not available&lt;br /&gt;
| &amp;quot;GNU&amp;quot;(?)&lt;br /&gt;
|-&lt;br /&gt;
| MElt&lt;br /&gt;
| MEMM with external lexical information*&lt;br /&gt;
| Denis and Sagot (2009)&lt;br /&gt;
| [https://gforge.inria.fr/projects/lingwb/ Alpage linguistic workbench]&lt;br /&gt;
| No&lt;br /&gt;
| 97.80%&lt;br /&gt;
| 91.77%&lt;br /&gt;
| CeCILL-C&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
(*) External lexical information from the Lefff lexicon (Sagot 2010, [https://gforge.inria.fr/frs/?group_id=482 Alexina project])&lt;br /&gt;
&lt;br /&gt;
== References ==&lt;br /&gt;
&lt;br /&gt;
* Brants, Thorsten. 2000. [http://acl.ldc.upenn.edu/A/A00/A00-1031.pdf TnT -- A Statistical Part-of-Speech Tagger]. &amp;quot;6th Applied Natural Language Processing Conference&amp;quot;.&lt;br /&gt;
&lt;br /&gt;
* Chrupała, Grzegorz, Dinu, Georgiana and van Genabith, Josef. 2008. [http://www.lrec-conf.org/proceedings/lrec2008/pdf/594_paper.pdf Learning Morphology with Morfette]. &amp;quot;LREC 2008&amp;quot;. &lt;br /&gt;
&lt;br /&gt;
* Collins, Michael. 2002. [http://people.csail.mit.edu/mcollins/papers/tagperc.pdf Discriminative Training Methods for Hidden Markov Models: Theory and Experiments with Perceptron Algorithms]. &#039;&#039;EMNLP 2002&#039;&#039;.&lt;br /&gt;
&lt;br /&gt;
* Constant, Matthieu, Tellier, Isabelle, Duchier, Denys, Dupont, Yoann, Sigogne, Anthony, and Billot, Sylvie. [http://www.lirmm.fr/~lopez/TALN2011/Longs-TALN+RECITAL/Tellier_taln11_submission_54.pdf Intégrer des connaissances linguistiques dans un CRF : application à l&#039;apprentissage d&#039;un segmenteur-étiqueteur du français]. &amp;quot;TALN&#039;11&amp;quot;&lt;br /&gt;
&lt;br /&gt;
* Denis, Pascal and Sagot, Benoît. 2009. [http://alpage.inria.fr/~sagot/pub/paclic09tagging.pdf Coupling an annotated corpus and a morphosyntactic lexicon for state-of-the-art POS tagging with less human effort]. &amp;quot;PACLIC 2009&amp;quot;&lt;br /&gt;
&lt;br /&gt;
* Giménez, J., and Márquez, L. 2004. [http://www.lsi.upc.es/~nlp/SVMTool/lrec2004-gm.pdf SVMTool: A general POS tagger generator based on Support Vector Machines]. &#039;&#039;Proceedings of the 4th International Conference on Language Resources and Evaluation (LREC&#039;04)&#039;&#039;. Lisbon, Portugal. &lt;br /&gt;
&lt;br /&gt;
* Manning, Christopher D. 2011. Part-of-Speech Tagging from 97% to 100%: Is It Time for Some Linguistics? In Alexander Gelbukh (ed.), Computational Linguistics and Intelligent Text Processing, 12th International Conference, CICLing 2011, Proceedings, Part I. Lecture Notes in Computer Science 6608, pp. 171--189. Springer.&lt;br /&gt;
&lt;br /&gt;
* Seddah, Djamé, Chrupała, Grzegorz, Çetinoglu, Özlem and Candito, Marie. 2010. [http://aclweb.org/anthology-new/W/W10/W10-1410.pdf Lemmatization and Lexicalized Statistical Parsing of Morphologically Rich Languages: the Case of French] &amp;quot;SPMRL 2010 (NAACL 2010 workshop)&amp;quot;&lt;br /&gt;
&lt;br /&gt;
* Shen, L., Satta, G., and  Joshi, A. 2007. [http://acl.ldc.upenn.edu/P/P07/P07-1096.pdf Guided learning for bidirectional sequence classification]. &#039;&#039;Proceedings of the 45th Annual Meeting of the Association of Computational Linguistics (ACL 2007)&#039;&#039;, pages 760-767.&lt;br /&gt;
&lt;br /&gt;
* Søgaard, Anders. 2011. Semi-supervised condensed nearest neighbor for part-of-speech tagging. The 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies (ACL-HLT). Portland, Oregon.&lt;br /&gt;
&lt;br /&gt;
* Spoustová, Drahomíra &amp;quot;Johanka&amp;quot;, Jan Hajič, Jan Raab and Miroslav Spousta. 2009. Semi-supervised Training for the Averaged Perceptron POS Tagger. Proceedings of the 12 EACL, pages 763-771.&lt;br /&gt;
&lt;br /&gt;
* Toutanova, K., Klein, D., Manning, C.D., Yoram Singer, Y. 2003. [http://nlp.stanford.edu/kristina/papers/tagging.pdf Feature-rich part-of-speech tagging with a cyclic dependency network]. &#039;&#039;Proceedings of HLT-NAACL 2003&#039;&#039;, pages 252-259.&lt;br /&gt;
&lt;br /&gt;
* Tsuruoka, Yoshimasa, Yuka Tateishi, Jin-Dong Kim, Tomoko Ohta, John McNaught, Sophia Ananiadou, and Jun&#039;ichi Tsujii. 2005. &amp;quot;[http://www-tsujii.is.s.u-tokyo.ac.jp/~tsuruoka/papers/pci05.pdf Developing a Robust Part-of-Speech Tagger for Biomedical Text, Advances in Informatics]&amp;quot; - &#039;&#039;10th Panhellenic Conference on Informatics&#039;&#039;, &#039;&#039;&#039;LNCS 3746&#039;&#039;&#039;, pp. 382-392, 2005 &lt;br /&gt;
&lt;br /&gt;
* Tsuruoka, Yoshimasa, Yusuke Miyao, and Jun’ichi Kazama. 2011. &amp;quot;[http://aclweb.org/anthology-new/W/W11/W11-0328.pdf Learning with Lookahead: Can History-Based Models Rival Globally Optimized Models?]&amp;quot; &#039;&#039;Proceedings of the Fifteenth Conference on Computational Natural Language Learning&#039;&#039;, pp 238–246, 2011.&lt;br /&gt;
&lt;br /&gt;
* Tsuruoka, Yoshimasa and Jun&#039;ichi Tsujii. 2005. &amp;quot;[http://www-tsujii.is.s.u-tokyo.ac.jp/~tsuruoka/papers/emnlp05bidir.pdf Bidirectional Inference with the Easiest-First Strategy for Tagging Sequence Data]&amp;quot;, &#039;&#039;Proceedings of HLT/EMNLP 2005&#039;&#039;, pp. 467-474.&lt;br /&gt;
&lt;br /&gt;
* Sun, Xu. &amp;quot;[http://papers.nips.cc/paper/5643-structure-regularization-for-structured-prediction.pdf Structure Regularization for Structured Prediction]&amp;quot;. &#039;&#039;In Neural Information Processing Systems (NIPS)&#039;&#039;. 2402-2410. 2014&lt;br /&gt;
&lt;br /&gt;
* Cicero dos Santos, and Bianca Zadrozny. &amp;quot;[http://jmlr.org/proceedings/papers/v32/santos14.pdf Learning character-level representations for part-of-speech tagging]&amp;quot;. &#039;&#039;In Proceedings of the 31st International Conference on Machine Learning, JMLR: W&amp;amp;CP volume 32&#039;&#039;. 2014.&lt;br /&gt;
&lt;br /&gt;
* Z. H. Huang, W. Xu, and K. Yu. &amp;quot;[http://arxiv.org/abs/1508.01991 Bidirectional LSTM-CRF Models for Sequence Tagging]&amp;quot;. &#039;&#039;In arXiv:1508.01991&#039;&#039;. 2015.&lt;br /&gt;
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* Jinho D. Choi. 2016. Dynamic Feature Induction: The Last Gist to the State-of-the-Art, Proceedings of NAACL 2016.&lt;br /&gt;
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== See also ==&lt;br /&gt;
* [[POS Induction (State of the art)]]&lt;br /&gt;
* [[Part-of-speech tagging]]&lt;br /&gt;
* [[State of the art]]&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
[[Category:State of the art]]&lt;/div&gt;</summary>
		<author><name>Jdchoi</name></author>
	</entry>
	<entry>
		<id>https://www.aclweb.org/aclwiki/index.php?title=Talk:POS_Tagging_(State_of_the_art)&amp;diff=11309</id>
		<title>Talk:POS Tagging (State of the art)</title>
		<link rel="alternate" type="text/html" href="https://www.aclweb.org/aclwiki/index.php?title=Talk:POS_Tagging_(State_of_the_art)&amp;diff=11309"/>
		<updated>2015-11-30T16:59:55Z</updated>

		<summary type="html">&lt;p&gt;Jdchoi: Created page with &amp;quot;Based on the Table 1 in page 6, the following paper did not seem to use the same sections of WSJ for training, development, and evaluation compared to the other work so their...&amp;quot;&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;Based on the Table 1 in page 6, the following paper did not seem to use the same sections of WSJ for training, development, and evaluation compared to the other work so their results are not comparable to the rest in the table.&lt;br /&gt;
&lt;br /&gt;
* [http://arxiv.org/abs/1508.01991 Bidirectional LSTM-CRF Models for Sequence Tagging], Zhiheng Huang, Wei Xu, and Kai Yu.&lt;/div&gt;</summary>
		<author><name>Jdchoi</name></author>
	</entry>
</feed>