Corpus based Tatar Lexicography: Verbs in TatWordnet

Galieva, Alfiya M.; Nevzorova, Olga; Suleymanov, Dzhavdet

doi:10.1016/j.sbspro.2015.07.429

Cited by 2 publications

(1 citation statement)

References 7 publications

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“…Каждый из названных параметров может иметь дальнейшее членение: например, способ действия (перемещение в пространстве, положение в пространстве и т.п.). В этом плане интересны исследования ученых Института семиотики Академии наук Республики Татарстан, которые занимаются разработкой лингвистической базы и созданием иерархической семантической модели глаголов татарского языка на базе WordNet (Galieva, Nevzorova, Suleymanov 2015;Galieva, Nevzorova 2016).…”

Section: методологияunclassified

Lexical-semantic groups of the verbs of motion in structurally different languages (on the material of the Russian and the Tatar languages)

Gilazetdinova¹,

Salakhova²

2018

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The article is devoted to the study of the verbs of motion in Russian and Tatar. The verbs of vibrational and rotational motion are investigated. Lexico-semantic variants of the verbs are analyzed in the article; their equivalents are found out. Semantic similarities and differences are defined. Special derivative features of the verbs of motion in the compared languages are described. The importance of the research is determined by the practical output connected with the study of verbs in the context of bilingualism.

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Section: методологияunclassified

Lexical-semantic groups of the verbs of motion in structurally different languages (on the material of the Russian and the Tatar languages)

Gilazetdinova¹,

Salakhova²

2018

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Informing Lexicographic Choices Through Corpus and Perceptual Data

Nelson

2019

International Journal of Lexicography

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Lexicographers make many choices when compiling dictionary entries. Data-driven approaches can better inform such decisions. This paper proposes integration of two such sources, corpus data and perceptual survey data. A survey was distributed to 100 native speakers of English. Participants were asked to provide a definition and example sentence for 18 polysemous English words. After providing definitions, participants were presented with five definitions and asked to rank them by importance. Patterns in the rankings were analyzed to see what factors predicted higher ratings. Frequency was found to predict rankings, while concreteness was also shown to be moderate a predictor and have a potentially strong effect on certain words. Part of speech was not found to be a significant predictor of rank. Results suggest that crowdsourcing may be useful for certain linguistic tasks and that both corpus and perceptual data can be useful in making lexicographic choices.

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Corpus based Tatar Lexicography: Verbs in TatWordnet

Cited by 2 publications

References 7 publications

Lexical-semantic groups of the verbs of motion in structurally different languages (on the material of the Russian and the Tatar languages)

Lexical-semantic groups of the verbs of motion in structurally different languages (on the material of the Russian and the Tatar languages)

Informing Lexicographic Choices Through Corpus and Perceptual Data

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