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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 12 of 12 1 Universal Segmentations 1.0 (UniSegments 1.0) Žabokrtský, Zdeněk; Bafna, Nyati; Bodnár, Jan. - : Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL), 2022 BASE Show details 2 Language Diversity: Visible to Humans, Exploitable by Machines ... Bella, Gábor; Byambadorj, Erdenebileg; Chandrashekar, Yamini. - : arXiv, 2022 BASE Show details 3 Using Linguistic Typology to Enrich Multilingual Lexicons: the Case of Lexical Gaps in Kinship ... Khishigsuren, Temuulen; Bella, Gábor; Batsuren, Khuyagbaatar. - : arXiv, 2022 BASE Show details 4 MorphyNet: a Large Multilingual Database of Derivational and Inflectional Morphology ... The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021; Batsuren, Khuyagbaatar; Bella, Gábor. - : Underline Science Inc., 2021 BASE Show details 5 Building the Mongolian WordNet ... Batsuren, Khuyagbaatar; Ganbold, Amarsanaa; Chagnaa, Altangerel. - : Zenodo, 2020 BASE Show details 6 Building the Mongolian WordNet ... Batsuren, Khuyagbaatar; Ganbold, Amarsanaa; Chagnaa, Altangerel. - : Zenodo, 2020 BASE Show details 7 Building The Mongolian WordNet ... Batsuren, Khuyagbaatar; Ganbold, Amarsanaa; Chagnaa, Altangerel. - : Zenodo, 2019 BASE Show details 8 Building The Mongolian WordNet ... Batsuren, Khuyagbaatar; Ganbold, Amarsanaa; Chagnaa, Altangerel; Giunchiglia, Fausto. - : Zenodo, 2019 Abstract: This paper presents the Mongolian Wordnet (MOW), and a general methodology of how to construct it from various sources e.g. lexical resources and expert translations. As of today, the MOW contains 23,665 synsets, 26,875 words, 2,979 glosses, and 213 examples. The manual evaluation of the resource1 estimated its quality at 96.4%. ... : {"references": ["B. Khuyagbaatar (2019). 'CogNet: A Large scale Cognate Database'. Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics, Florence, Italy"]} ... URL: https://zenodo.org/record/3628136 https://dx.doi.org/10.5281/zenodo.3628136 BASE Hide details 9 CogNet: a Large-Scale Cognate Database ... Batsuren, Khuyagbaatar; Bella, Gábor; Giunchiglia, Fausto. - : Zenodo, 2019 BASE Show details 10 CogNet: a Large-Scale Cognate Database ... Batsuren, Khuyagbaatar; Bella, Gábor; Giunchiglia, Fausto. - : Zenodo, 2019 BASE Show details 11 Aligning the IndoWordNet with the Princeton WordNet ... Chandran Nair, Nandu; Velayuthan, Rajendra S.; Batsuren, Khuyagbaatar. - : Zenodo, 2019 BASE Show details 12 Aligning the IndoWordNet with the Princeton WordNet ... Chandran Nair, Nandu; Velayuthan, Rajendra S.; Batsuren, Khuyagbaatar. - : Zenodo, 2019 BASE Show details

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