KFU. Card publication. Context-Based Rules for Grammatical Disambiguation in the Tatar Language

KAZAN
FEDERAL UNIVERSITY

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CONTEXT-BASED RULES FOR GRAMMATICAL DISAMBIGUATION IN THE TATAR LANGUAGE

Form of presentation

Articles in international journals and collections

Year of publication

2017

Язык

английский

Authors, employees of KFU

Gataullin Ramil Raisovich, author

Gilmullin Rinat Abrekovich, author

Suleymanov Dzhavdet Shevketovich, author

Khakimov Bulat Ernstovich, author

Bibliographic description in the original language

Gataullin R, Khakimov B, Suleymanov D, Context-Based Rules for Grammatical Disambiguation in the Tatar Language//Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). - 2017. - Vol.10449 LNAI, Is.. - P.529-537.

Annotation

The paper is dedicated to the problem of grammatical ambiguity in the Tatar National Corpus and describes the methodology and software used for automation of the disambiguation process. Grammatical ambiguity is widely represented in agglutinative languages like Turkic or Finno-Ugric. Disambiguation in the corpus is based on the context-oriented classification of ambiguity types which has been carried out on corpus data in the Tatar language for the first time. In this study the corpus is used as a source for the research and at the same time as a destination for implementing the results. The grammatical ambiguity types are detected automatically using the finite-state morphological analyzer and then classified. In order to build up the grammatically disambiguated subcorpus, a special software module was developed. It searches for ambiguous tokens in the corpus, collects statistical information and allows creating and implementing the formal context-based disambiguation rules.

Keywords

Disambiguation, Grammatical Homonymy, Context-based Rules, Linguistic Software, Turkic Languages, Corpus Linguistics

The name of the journal

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

URL

https://www.scopus.com/inward/record.uri?eid=2-s2.0-85030853927&doi=10.1007%2f978-3-319-67077-5_51&partnerID=40&md5=7b27e8905839820c051a4e511460c4a3

Please use this ID to quote from or refer to the card

https://repository.kpfu.ru/eng/?p_id=166145&p_lang=2

Full metadata record

Field DC	Value	Language
dc.contributor.author	Gataullin Ramil Raisovich	ru_RU
dc.contributor.author	Gilmullin Rinat Abrekovich	ru_RU
dc.contributor.author	Suleymanov Dzhavdet Shevketovich	ru_RU
dc.contributor.author	Khakimov Bulat Ernstovich	ru_RU
dc.date.accessioned	2017-01-01T00:00:00Z	ru_RU
dc.date.available	2017-01-01T00:00:00Z	ru_RU
dc.date.issued	2017	ru_RU
dc.identifier.citation	Gataullin R, Khakimov B, Suleymanov D, Context-Based Rules for Grammatical Disambiguation in the Tatar Language//Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). - 2017. - Vol.10449 LNAI, Is.. - P.529-537.	ru_RU
dc.identifier.uri	https://repository.kpfu.ru/eng/?p_id=166145&p_lang=2	ru_RU
dc.description.abstract	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)	ru_RU
dc.description.abstract	The paper is dedicated to the problem of grammatical ambiguity in the Tatar National Corpus and describes the methodology and software used for automation of the disambiguation process. Grammatical ambiguity is widely represented in agglutinative languages like Turkic or Finno-Ugric. Disambiguation in the corpus is based on the context-oriented classification of ambiguity types which has been carried out on corpus data in the Tatar language for the first time. In this study the corpus is used as a source for the research and at the same time as a destination for implementing the results. The grammatical ambiguity types are detected automatically using the finite-state morphological analyzer and then classified. In order to build up the grammatically disambiguated subcorpus, a special software module was developed. It searches for ambiguous tokens in the corpus, collects statistical information and allows creating and implementing the formal context-based disambiguation rules.	ru_RU
dc.language.iso	ru	ru_RU
dc.subject	Disambiguation	ru_RU
dc.subject	Grammatical Homonymy	ru_RU
dc.subject	Context-based Rules	ru_RU
dc.subject	Linguistic Software	ru_RU
dc.subject	Turkic Languages	ru_RU
dc.subject	Corpus Linguistics	ru_RU
dc.title	Context-Based Rules for Grammatical Disambiguation in the Tatar Language	ru_RU
dc.type	Articles in international journals and collections	ru_RU