Resources for Macedonian: Difference between revisions
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===Free software=== | ===Free software=== | ||
* [https://apertium.svn.sourceforge.net/svnroot/apertium/trunk/apertium-mk-bg apertium-mk-bg] RBMT system between Macedonian and Bulgarian | |||
* [https://apertium.svn.sourceforge.net/svnroot/apertium/trunk/apertium-mk-en apertium-mk-en] RBMT system between Macedonian and English | |||
===Proprietary=== | ===Proprietary=== | ||
==Morphological analysis== | |||
===Free software=== | |||
* [https://apertium.svn.sourceforge.net/svnroot/apertium/trunk/apertium-mk-bg/apertium-mk-bg.mk.dix Morphological analyser] 8,764 lemmata, ~92% coverage over SETimes | |||
===Proprietary=== | |||
==Corpora== | ==Corpora== | ||
===Free=== | ===Free=== | ||
* [http://www.statmt.org/setimes/ Southeast European Times] (sentence aligned corpus, Albanian, Bulgarian, English, Greek, Macedonian, Romanian, Serbo-Croatian, Turkish — approximately 4.5 million words per language) | |||
* [http:// | |||
==Bibliography== | ==Bibliography== | ||
Latest revision as of 23:04, 7 October 2010
Machine translation systems
Free software
- apertium-mk-bg RBMT system between Macedonian and Bulgarian
- apertium-mk-en RBMT system between Macedonian and English
Proprietary
Morphological analysis
Free software
- Morphological analyser 8,764 lemmata, ~92% coverage over SETimes
Proprietary
Corpora
Free
- Southeast European Times (sentence aligned corpus, Albanian, Bulgarian, English, Greek, Macedonian, Romanian, Serbo-Croatian, Turkish — approximately 4.5 million words per language)
Bibliography
- Vojnovski, V., S. Džeroski, and Erjavec, T. (2005) "Learning PoS tagging from a tagged Macedonian text corpus". Proceedings of SiKDD 2005 (Conference on Data Mining and Data Warehouses), Ljubljana, Slovenia, pp. 199-202.
- A POS tagger for Macedonian is trained on the Macedonian of George Orwells Nineteen Eighty-Four
- Ivanovska, A., Zdravkova, K., Džeroski, S., Erjavec, T. (2005) "Learning Rules for Morphological Analysis and Synthesis of Macedonian Nouns". Proceedings of IS 2005, the 8th International Multiconference on the Information Society, 11-17 October 2005, Ljubljana. pp. 195-198
- Gives a machine learning approach to learning Macedonian nouns.