This paper describes a method to enrich lexical resources with content relating to linguistic diversity, based on knowledge from the field of lexical typology. We capture the phenomenon of diversity through the notions of lexical gap and language-specific word and use a systematic method to infer gaps semi-automatically on a large scale. As a first result obtained for the domain of kinship terminology, known to be very diverse throughout the world, we publish a lexico-semantic resource consisting of 198 domain concepts, 1,911 words, and 37,370 gaps covering 699 languages. We see potential in the use of resources such as ours for the improvement of a variety of cross-lingual NLP tasks, which we demonstrate through a downstream application for the evaluation of machine translation systems.

Using Linguistic Typology to Enrich Multilingual Lexicons: the Case of Lexical Gaps in Kinship / Khishigsuren, Temuulen; Bella, Gabor; Batsuren, Khuyagbaatar; Freihat, Abed Alhakim Ali Kayed; Chandran Nair, Nandu; Ganbold, Amarsanaa; Khalilia, Hadi; Chandrashekar, Yamini; Giunchiglia, Fausto. - (2022), pp. 2798-2807. (Intervento presentato al convegno 13th International Conference on Language Resources and Evaluation Conference, LREC 2022 tenutosi a Marseille, France nel June 2022).

Using Linguistic Typology to Enrich Multilingual Lexicons: the Case of Lexical Gaps in Kinship

Gabor Bella;Khuyagbaatar Batsuren;Abed Alhakim Freihat;Nandu Chandran Nair;Hadi Khalilia;Yamini Chandrashekar;Fausto Giunchiglia
2022-01-01

Abstract

This paper describes a method to enrich lexical resources with content relating to linguistic diversity, based on knowledge from the field of lexical typology. We capture the phenomenon of diversity through the notions of lexical gap and language-specific word and use a systematic method to infer gaps semi-automatically on a large scale. As a first result obtained for the domain of kinship terminology, known to be very diverse throughout the world, we publish a lexico-semantic resource consisting of 198 domain concepts, 1,911 words, and 37,370 gaps covering 699 languages. We see potential in the use of resources such as ours for the improvement of a variety of cross-lingual NLP tasks, which we demonstrate through a downstream application for the evaluation of machine translation systems.
2022
Proceedings of the Thirteenth Language Resources and Evaluation Conference
Marseille, France
European Language Resources Association (ELRA)
9791095546726
Khishigsuren, Temuulen; Bella, Gabor; Batsuren, Khuyagbaatar; Freihat, Abed Alhakim Ali Kayed; Chandran Nair, Nandu; Ganbold, Amarsanaa; Khalilia, Had...espandi
Using Linguistic Typology to Enrich Multilingual Lexicons: the Case of Lexical Gaps in Kinship / Khishigsuren, Temuulen; Bella, Gabor; Batsuren, Khuyagbaatar; Freihat, Abed Alhakim Ali Kayed; Chandran Nair, Nandu; Ganbold, Amarsanaa; Khalilia, Hadi; Chandrashekar, Yamini; Giunchiglia, Fausto. - (2022), pp. 2798-2807. (Intervento presentato al convegno 13th International Conference on Language Resources and Evaluation Conference, LREC 2022 tenutosi a Marseille, France nel June 2022).
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11572/369581
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