| Форма представления | Статьи в зарубежных журналах и сборниках |
| Год публикации | 2021 |
| Язык | английский |
|
Бочкарев Владимир Владимирович, автор
Соловьев Валерий Дмитриевич, автор
|
| Библиографическое описание на языке оригинала |
Gimaletdinova G., Khalitova L., Solovyev V., Bochkarev V. Lexicographic Study of Synonymy: Clarifying Semantic Similarity between Words // Computacion y Sistemas. Vol.25, N.3, 2021. P. 667-675. ISSN: 2007-9737. DOI: 10.13053/CyS-25-3-40-28
URL: https://www.cys.cic.ipn.mx/ojs/index.php/CyS/article/view/4028 |
| Аннотация |
The problem of determining semantic similarity between words affects the understanding of synonymy and creates obstacles to the work of lexicographers. The study was carried out as a part of a 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 and their analogues (adjectives and verbs) 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. |
| Ключевые слова |
synonymy, semantic similarity, near-synonyms, RuWordNet |
| Название журнала |
Computacion y Sistemas
|
| URL |
https://www.cys.cic.ipn.mx/ojs/index.php/CyS/article/view/4028 |
| Пожалуйста, используйте этот идентификатор, чтобы цитировать или ссылаться на эту карточку |
https://repository.kpfu.ru/?p_id=257705 |
Полная запись метаданных  |
| Поле DC |
Значение |
Язык |
| dc.contributor.author |
Бочкарев Владимир Владимирович |
ru_RU |
| dc.contributor.author |
Соловьев Валерий Дмитриевич |
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 G., Khalitova L., Solovyev V., Bochkarev V. Lexicographic Study of Synonymy: Clarifying Semantic Similarity between Words // Computacion y Sistemas. Vol.25, N.3, 2021. P. 667-675. ISSN: 2007-9737. DOI: 10.13053/CyS-25-3-40-28
URL: https://www.cys.cic.ipn.mx/ojs/index.php/CyS/article/view/4028 |
ru_RU |
| dc.identifier.uri |
https://repository.kpfu.ru/?p_id=257705 |
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 of lexicographers. The study was carried out as a part of a 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 and their analogues (adjectives and verbs) 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 |
Статьи в зарубежных журналах и сборниках |
ru_RU |
|
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