KFU. Card publication. Lexicographic Study of Synonymy: Clarifying Semantic Similarity between Words

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FEDERAL UNIVERSITY

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LEXICOGRAPHIC STUDY OF SYNONYMY: CLARIFYING SEMANTIC SIMILARITY BETWEEN WORDS

Form of presentation

Articles in international journals and collections

Year of publication

2021

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Authors, employees of KFU

Bochkarev Vladimir Vladimirovich, author

Gimaletdinova Gulnara Kamilevna, author

Solovev Valeriy Dmitrievich, author

Khalitova Liliya Kamilevna, author

Bibliographic description in the original language

Gimaletdinova Gulnara, Khalitova Liliia, Solovyev Valery, Bochkarev, Vladimir. Lexicographic Study of Synonymy: Clarifying Semantic Similarity between Words//COMPUTACION Y SISTEMAS. - 2021. - Vol.25, Is.3. - P.667-675.

Annotation

The problem of determining semantic similarity between words affects the understanding of synonymy and creates obstacles to the work oflexico graphers. The study was carried out as a part ofa larger research project on expert assessment of synonymic rows in RuWordNet thesaurus (a WordNet–like thesaurus for the Russian language). The aim of this study is to analyze RuWordNet thesaurus and compare it with classical dictionaries of Russian synonyms. For this purpose, the authors singled out entry words (adjectives N = 68 and verbs N = 117) and their analogues (adjectives N = 558 and verbs N = 1410) from the New Explanatory Dictionary of Russian Synonyms by Yu. Apresyan (NEDS). An analogue is viewed as aword whose meaning essentially intersects with the general meaning of a given synonymic row, although it lacks the needed semantic similarity that could indicate the presence of synonymy or near–synonymy (Apresyan). The quantitative analysis based on the breadth–first search (BFS) algorithm estimated the distance between each pair entry word! analogue. The quantitative method revealed that the analogues described in NEDS correlate with the hyponyms and hyperonyms in RuWordNet which contributes to the study of near–synonymy. The qualitative method (observation and linguistic interpretation) was used to analyze pairs entry word! analogue which showed the longest distance; such words were 52 adjectives and15 verbs. First, the meanings of entry words and analogues were checked against two Russian language thesauri, then, their representation in the tree graph of RuWordNet was traced. The analysis revealed inaccuracies concerning the similarity between certainwords. The recommendations for further improvement of RuWordNet were given.

Keywords

Synonymy, semantic similarity, near?synonyms, RuWordNet

The name of the journal

Computacion y Sistemas

URL

https://cys.cic.ipn.mx/ojs/index.php/CyS/article/view/4028

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

https://repository.kpfu.ru/eng/?p_id=258404&p_lang=2

Full metadata record

Field DC	Value	Language
dc.contributor.author	Bochkarev Vladimir Vladimirovich	ru_RU
dc.contributor.author	Gimaletdinova Gulnara Kamilevna	ru_RU
dc.contributor.author	Solovev Valeriy Dmitrievich	ru_RU
dc.contributor.author	Khalitova Liliya Kamilevna	ru_RU
dc.date.accessioned	2021-01-01T00:00:00Z	ru_RU
dc.date.available	2021-01-01T00:00:00Z	ru_RU
dc.date.issued	2021	ru_RU
dc.identifier.citation	Gimaletdinova Gulnara, Khalitova Liliia, Solovyev Valery, Bochkarev, Vladimir. Lexicographic Study of Synonymy: Clarifying Semantic Similarity between Words//COMPUTACION Y SISTEMAS. - 2021. - Vol.25, Is.3. - P.667-675.	ru_RU
dc.identifier.uri	https://repository.kpfu.ru/eng/?p_id=258404&p_lang=2	ru_RU
dc.description.abstract	Computacion y Sistemas	ru_RU
dc.description.abstract	The problem of determining semantic similarity between words affects the understanding of synonymy and creates obstacles to the work oflexico graphers. The study was carried out as a part ofa larger research project on expert assessment of synonymic rows in RuWordNet thesaurus (a WordNet–like thesaurus for the Russian language). The aim of this study is to analyze RuWordNet thesaurus and compare it with classical dictionaries of Russian synonyms. For this purpose, the authors singled out entry words (adjectives N = 68 and verbs N = 117) and their analogues (adjectives N = 558 and verbs N = 1410) from the New Explanatory Dictionary of Russian Synonyms by Yu. Apresyan (NEDS). An analogue is viewed as aword whose meaning essentially intersects with the general meaning of a given synonymic row, although it lacks the needed semantic similarity that could indicate the presence of synonymy or near–synonymy (Apresyan). The quantitative analysis based on the breadth–first search (BFS) algorithm estimated the distance between each pair entry word! analogue. The quantitative method revealed that the analogues described in NEDS correlate with the hyponyms and hyperonyms in RuWordNet which contributes to the study of near–synonymy. The qualitative method (observation and linguistic interpretation) was used to analyze pairs entry word! analogue which showed the longest distance; such words were 52 adjectives and15 verbs. First, the meanings of entry words and analogues were checked against two Russian language thesauri, then, their representation in the tree graph of RuWordNet was traced. The analysis revealed inaccuracies concerning the similarity between certainwords. The recommendations for further improvement of RuWordNet were given.	ru_RU
dc.language.iso	ru	ru_RU
dc.subject	Synonymy	ru_RU
dc.subject	semantic similarity	ru_RU
dc.subject	near?synonyms	ru_RU
dc.subject	RuWordNet	ru_RU
dc.title	Lexicographic Study of Synonymy: Clarifying Semantic Similarity between Words	ru_RU
dc.type	Articles in international journals and collections	ru_RU