Construction of an English-Uyghur WordNet Dataset

Abiderexiti, Kahaerjiang; Sun, Maosong

doi:10.1007/978-3-030-32381-3_31

Cited by 2 publications

(1 citation statement)

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“…It also introduced a greatly extended etymological database as well as phonetic evidence, both extracted from Wiktionary. • CogNet v3, finally, is under development, with further extensions of the input lexical database, new wordnets (Abiderexiti & Sun, 2019;Batsuren et al, 2019b;Loukachevitch & Gerasimova, 2019;Nair, 2019;Bella et al, 2020;Agostini et al, 2021;Bakay et al, 2021), as well as new sources of phonetic and geographic evidence (Lee et al, 2020), as mentioned in Sects. 7 and 8.…”

Section: Cognet Resources and Their Evolutionmentioning

confidence: 99%

A large and evolving cognate database

Batsuren

Bella

Giunchiglia

2021

Lang Resources & Evaluation

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We present CogNet, a large-scale, automatically-built database of sense-tagged cognates—words of common origin and meaning across languages. CogNet is continuously evolving: its current version contains over 8 million cognate pairs over 338 languages and 35 writing systems, with new releases already in preparation. The paper presents the algorithm and input resources used for its computation, an evaluation of the result, as well as a quantitative analysis of cognate data leading to novel insights on language diversity. Furthermore, as an example on the use of large-scale cross-lingual knowledge bases for improving the quality of multilingual applications, we present a case study on the use of CogNet for bilingual lexicon induction in the framework of cross-lingual transfer learning.

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Section: Cognet Resources and Their Evolutionmentioning

confidence: 99%