Tatar WordNet: The sources and the component parts

D. Ilvovsky; Кириллович А.; Галиева А.; Невзорова О.; Шаехов М.; Лукашевич Н. В.

doi:10.1007/978-3-030-51913-1_13

Publications

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Tatar WordNet: The sources and the component parts

P. 195–208.

Ilvovsky D., Кириллович А., Галиева А., Невзорова О., Шаехов М., Лукашевич Н. В.

We describe an ongoing project of construction of the Tatar Wordnet. The Tatar Wordnet is being constructed on the base of three source resources, developed by us. The first source is TatThes, a bilingual Russian-Tatar Social-Political Thesaurus. TatThes, in turn, has been constructed by manual translation and extension of RuThes, a linguistic ontology for Russian. The second source is a Tatar translation of RuWordNet, a wordnet for Russian. This translation was carried out automatically on the base of a Russian-Tatar dictionary, and then was manually verified. The third source is a semantic classification of Tatar verbs, developed from scratch. We discuss the structure, methodology of compilation and the current state these source resources, and justify the choice of them as the initial resources for building the Tatar Wordnet. Our ultimate goal is to publish Tatar Wordnet on the Linguistic Linked Open Data cloud and integrate it to the Global WordNet Grid.

Language: English

DOI

Keywords: WordNet Компьютерные лингвистические ресурсы

In book

Data Analytics and Management in Data Intensive Domains 21st International Conference, DAMDID/RCDL 2019 Kazan, Russia, October 15–18, 2019 Revised Selected Papers

Springer, 2020.

Sense-Annotated Corpus for Russian

Kirillovich A., Loukachevitch N. V., Kulaev M. et al., , in: Proceedings of the Fifth International Conference Computational Linguistics in Bulgaria (CLIB 2022).: Sofia: Bulgarian Academy of Sciences, 2022. P. 130–136.

We present a sense-annotated corpus for Russian. The resource was obtained my manually annotating texts from the OpenCorpora corpus, an open corpus for the Russian language, by senses of Russian wordnet RuWordNet. The annotation was used as a test collection for comparing unsupervised (Personalized Pagerank) and pseudo-labeling methods for Russian word sense disambiguation. ...

Added: September 8, 2022

Computational Linguistics and Intellectual Technologies. International Conference "Dialogue 2017" Proceedings

M.: -, 2017.

The book includes 71 papers submitted to the International conference in computer linguistics and intellectual technologies Dialogue 2017 and presents a broad spectrum of theoretical and applied research of natural language description, language simulation, and creation of applied computer technologies. ...

Added: May 30, 2017

Компьютерная лингвистика и интеллектуальные технологии: По материалам ежегодной международной конференции «Диалог» (Москва, 31 мая — 3 июня 2017 г.). Вып. 16 (23): В 2 т.

М.: Изд-во РГГУ, 2017.

The 16th issue of the annual report “Computational Linguistics and Intellectual Technologies” contains the selected materials of the 23rd international conference “Dialogue”. The presented works reflect the areas of research in computational modelling and analysis of natural language that are traditionally represented at the conference. ...

Added: March 15, 2017

YARN: начало

Браславский П. И., Мухин М. Ю., Lyashevskaya O. et al., В кн.: Компьютерная лингвистика и интеллектуальные технологии 2013: Доклады, принятые к публикации на сайтеЧ. 3. Т. 12(19).: [б.и.], 2013.

YARN (Yet Another RussNet is a work-in-progress on development of a large and open WordNet-like thesaurus for Russian. The paper reports on linguistic design, development and organizational principles, and interchange format of YARN. ...

Added: September 23, 2013