Downloadable NLG systems - Revision history

Mikahama at 11:25, 29 June 2020

2020-06-29T11:25:41Z

← Older revision		Revision as of 11:25, 29 June 2020
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	[https://github.com/mikahama/syntaxmaker Syntax Maker] is an open-source surface realization tool for Finnish. It can inflect words into their correct morphology based on case government and agreement.		[https://github.com/mikahama/syntaxmaker Syntax Maker] is an open-source surface realization tool for Finnish. It can inflect words into their correct morphology based on case government and agreement.

			Paper: https://www.aclweb.org/anthology/W18-0205/

	== TGen ==		== TGen ==
	~~------~~
	A statistical generator generating sentences from dialogue acts or similar representations, based on the sequence-to-sequence (seq2seq) neural network architecture. Beams generated using seq2seq are reranked based on whether they conform to the input meaning representation. The system is written in Python and uses Tensorflow.		A statistical generator generating sentences from dialogue acts or similar representations, based on the sequence-to-sequence (seq2seq) neural network architecture. Beams generated using seq2seq are reranked based on whether they conform to the input meaning representation. The system is written in Python and uses Tensorflow.

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	Paper: https://aclweb.org/anthology/P16-2008		Paper: https://aclweb.org/anthology/P16-2008

			== UralicNLP ==

			[https://github.com/mikahama/uralicNLP UralicNLP] provides morphological generators in various languages including Finnish, Russian, German, Norwegian, Arabic, Erzya, Moksha, Skolt Sami...

			Paper: https://doi.org/10.21105/joss.01345


	[[Category:Software]]		[[Category:Software]]
	{{SIGGEN Wiki}}		{{SIGGEN Wiki}}

Mikahama at 11:16, 29 June 2020

2020-06-29T11:16:45Z

← Older revision		Revision as of 11:16, 29 June 2020
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	Suregen is “a hybrid, multilingual (German, English) ontology based and NLG-oriented formalism for generating text for documents in clinical medicine.”		Suregen is “a hybrid, multilingual (German, English) ontology based and NLG-oriented formalism for generating text for documents in clinical medicine.”
	The system Suregen-2 is written in (Allegro) Common Lisp. A [http://www.suregen.de/ftp/standalone1.zip demo system] which runs under Windows is available for download. A [http://www.suregen.de/ftp/selfrunningdemo.zip screencast video] shows data being entered into computer forms using mouse and keyboard while a feedback text is continually updated and shown below. (Try playing the AVI file in [http://www.videolan.org/vlc/ VLC] if you run into problems.) Perhaps this system could be considered an instance of the [http://en.wikipedia.org/wiki/WYSIWYM_(Meant) WYSIWYM] approach.		The system Suregen-2 is written in (Allegro) Common Lisp. A [http://www.suregen.de/ftp/standalone1.zip demo system] which runs under Windows is available for download. A [http://www.suregen.de/ftp/selfrunningdemo.zip screencast video] shows data being entered into computer forms using mouse and keyboard while a feedback text is continually updated and shown below. (Try playing the AVI file in [http://www.videolan.org/vlc/ VLC] if you run into problems.) Perhaps this system could be considered an instance of the [http://en.wikipedia.org/wiki/WYSIWYM_(Meant) WYSIWYM] approach.

			== Syntax Maker ==

			[https://github.com/mikahama/syntaxmaker Syntax Maker] is an open-source surface realization tool for Finnish. It can inflect words into their correct morphology based on case government and agreement.

	== TGen ==		== TGen ==

Daniel.braun: /* SimpleNLG */ added German version

2019-11-02T00:32:07Z

SimpleNLG: added German version

← Older revision		Revision as of 00:32, 2 November 2019
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	https://github.com/citiususc/SimpleNLG-ES (Spanish)		https://github.com/citiususc/SimpleNLG-ES (Spanish)

			https://github.com/sebischair/SimpleNLG-DE (German)

	SimpleNLG is a simple Java-based realiser. Its grammatical coverage and syntactic knowledge is small compared to KPML or FUF/SURGE. However, because it is so simple, its relatively		SimpleNLG is a simple Java-based realiser. Its grammatical coverage and syntactic knowledge is small compared to KPML or FUF/SURGE. However, because it is so simple, its relatively

Ereiter: add RosaeNLG

2019-09-18T12:14:03Z

add RosaeNLG

← Older revision		Revision as of 12:14, 18 September 2019
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	RNNLG is an open source benchmark toolkit for Natural Language Generation (NLG) in spoken dialogue system application domains. It is released by Tsung-Hsien (Shawn) Wen from Cambridge Dialogue Systems Group under Apache License 2.0.		RNNLG is an open source benchmark toolkit for Natural Language Generation (NLG) in spoken dialogue system application domains. It is released by Tsung-Hsien (Shawn) Wen from Cambridge Dialogue Systems Group under Apache License 2.0.

			== RoseaNLG ==

			https://rosaenlg.org

			RosaeNLG is a Natural Language Generation library for node.js or client side (browser) execution, based on the Pug template engine. It was previously known as FreeNLG. It supports English, French, German and Italian, and is complete enough to write production grade real life NLG applications.

	== SimpleNLG ==		== SimpleNLG ==

Ereiter: add Elvex

2019-09-05T09:42:01Z

add Elvex

← Older revision		Revision as of 09:42, 5 September 2019
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	This release contains 1) software for converting text parsed with RST relations into dialogue and 2) an annotation tool for annotating dialogue and translating it into monologue (used for creating CODA corpus).		This release contains 1) software for converting text parsed with RST relations into dialogue and 2) an annotation tool for annotating dialogue and translating it into monologue (used for creating CODA corpus).

			== Elvex ==
			https://github.com/lionelclement/Elvex

			Elvex is a NLG system based on a functional unification grammar close to LFG. It is implemented in C++, and is freely available under the GNU GPL License.

	== FUF/SURGE ==		== FUF/SURGE ==

Dimitra at 14:22, 17 June 2019

2019-06-17T14:22:14Z

← Older revision		Revision as of 14:22, 17 June 2019
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	Aggregated deep and Surface naTuRal language GENerator - Prolog based system.		Aggregated deep and Surface naTuRal language GENerator - Prolog based system.

			== Chimera ==

			https://github.com/AmitMY/chimera

			Chimera is a component-based step-by-step pipeline for data-to-text generation based on https://arxiv.org/abs/1904.03396
			It handles the necessary pre-processing for text-planning and surface realization which use neural networks, and does referring-expressions generation.
			It can automatically evaluate datasets with a train-dev-test split, with both BLEU and data coverage.

	== CRISP ==		== CRISP ==

Dimitra: /* TGen */

2019-06-17T12:37:57Z

TGen

← Older revision		Revision as of 12:37, 17 June 2019
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	------		------
	A statistical generator generating sentences from dialogue acts or similar representations, based on the sequence-to-sequence (seq2seq) neural network architecture. Beams generated using seq2seq are reranked based on whether they conform to the input meaning representation. The system is written in Python and uses Tensorflow.		A statistical generator generating sentences from dialogue acts or similar representations, based on the sequence-to-sequence (seq2seq) neural network architecture. Beams generated using seq2seq are reranked based on whether they conform to the input meaning representation. The system is written in Python and uses Tensorflow.

	Link: https://github.com/UFAL-DSG/tgen		Link: https://github.com/UFAL-DSG/tgen

	Paper: https://aclweb.org/anthology/P16-2008		Paper: https://aclweb.org/anthology/P16-2008

Dimitra at 12:37, 17 June 2019

2019-06-17T12:37:35Z

← Older revision		Revision as of 12:37, 17 June 2019
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	Suregen is “a hybrid, multilingual (German, English) ontology based and NLG-oriented formalism for generating text for documents in clinical medicine.”		Suregen is “a hybrid, multilingual (German, English) ontology based and NLG-oriented formalism for generating text for documents in clinical medicine.”
	The system Suregen-2 is written in (Allegro) Common Lisp. A [http://www.suregen.de/ftp/standalone1.zip demo system] which runs under Windows is available for download. A [http://www.suregen.de/ftp/selfrunningdemo.zip screencast video] shows data being entered into computer forms using mouse and keyboard while a feedback text is continually updated and shown below. (Try playing the AVI file in [http://www.videolan.org/vlc/ VLC] if you run into problems.) Perhaps this system could be considered an instance of the [http://en.wikipedia.org/wiki/WYSIWYM_(Meant) WYSIWYM] approach.		The system Suregen-2 is written in (Allegro) Common Lisp. A [http://www.suregen.de/ftp/standalone1.zip demo system] which runs under Windows is available for download. A [http://www.suregen.de/ftp/selfrunningdemo.zip screencast video] shows data being entered into computer forms using mouse and keyboard while a feedback text is continually updated and shown below. (Try playing the AVI file in [http://www.videolan.org/vlc/ VLC] if you run into problems.) Perhaps this system could be considered an instance of the [http://en.wikipedia.org/wiki/WYSIWYM_(Meant) WYSIWYM] approach.

			== TGen ==
			------
			A statistical generator generating sentences from dialogue acts or similar representations, based on the sequence-to-sequence (seq2seq) neural network architecture. Beams generated using seq2seq are reranked based on whether they conform to the input meaning representation. The system is written in Python and uses Tensorflow.
			Link: https://github.com/UFAL-DSG/tgen
			Paper: https://aclweb.org/anthology/P16-2008


	[[Category:Software]]		[[Category:Software]]
	{{SIGGEN Wiki}}		{{SIGGEN Wiki}}

Dimitra at 10:01, 14 April 2019

2019-04-14T10:01:37Z

← Older revision		Revision as of 10:01, 14 April 2019
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	Downloadable standalone executables of the grammar explorer are available for Windows 95/98/NT.		Downloadable standalone executables of the grammar explorer are available for Windows 95/98/NT.
	These already include a version of the Nigel grammar of English and pre-installed examples.		These already include a version of the Nigel grammar of English and pre-installed examples.

			== GoPhi : an AMR to ENGLISH VERBALIZER ==

			https://github.com/rali-udem/gophi

			GoPhi (Generation Of Parenthesized Human Input) is a system for generating a literal reading of Abstract Meaning Representation (AMR) structures. The system, written in SWI-Prolog, uses a symbolic approach to transform the original rooted graph into a tree of constituents that is transformed into an English sentence by jsRealB.

	== jsRealB ==		== jsRealB ==

Dimitra: /* SimpleNLG */

2019-04-14T10:00:26Z

SimpleNLG

← Older revision		Revision as of 10:00, 14 April 2019
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	https://github.com/simplenlg/simplenlg (English)		https://github.com/simplenlg/simplenlg (English)

	~~http~~://~~www-etud.iro.umontreal~~.ca/~~~vaudrypl~~/~~snlgbil/snlgEnFr_english.html~~ (French)		https://github.com/rali-udem/SimpleNLG-EnFr (English and French)

	https://github.com/citiususc/SimpleNLG-GL (Galician)		https://github.com/citiususc/SimpleNLG-GL (Galician)
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	https://github.com/citiususc/SimpleNLG-ES (Spanish)		https://github.com/citiususc/SimpleNLG-ES (Spanish)

	~~SipleNLG~~ is a simple Java-based realiser. Its grammatical coverage and syntactic knowledge is small compared to KPML or FUF/SURGE. However, because it is so simple, its relatively		SimpleNLG is a simple Java-based realiser. Its grammatical coverage and syntactic knowledge is small compared to KPML or FUF/SURGE. However, because it is so simple, its relatively
	easy for people to learn how to use it. It has a Java API, and can be used from other languages via an XML interface. There are "unofficial" ports to other programming languages such as Python and Ruby. Versions for other human languages are being worked on, including [https://aclweb.org/anthology/W18-6508 Dutch], [https://github.com/alexmazzei/SimpleNLG-IT Italian], [https://aclweb.org/anthology/papers/W/W18/W18-6506/ Mandarin]		easy for people to learn how to use it. It has a Java API, and can be used from other languages via an XML interface. There are "unofficial" ports to other programming languages such as Python and Ruby. Versions for other human languages are being worked on, including [https://aclweb.org/anthology/W18-6508 Dutch], [https://github.com/alexmazzei/SimpleNLG-IT Italian], [https://aclweb.org/anthology/papers/W/W18/W18-6506/ Mandarin]