Multilingual Automatic Extraction of Linguistic Data from Grammars

Albert Kornilov


Abstract
One of the goals of field linguistics is compilation of descriptive grammars for relatively little-studied languages. Until recently, extracting linguistic characteristics from grammatical descriptions and creating databases based on them was done manually. The aim of this paper is to apply methods of multilingual automatic information extraction to grammatical descriptions written in different languages of the world: we present a search engine for grammars, which would accelerate the tedious and time-consuming process of searching for information about linguistic features and facilitate research in the field of linguistic typology.
Anthology ID:
2023.fieldmatters-1.10
Volume:
Proceedings of the Second Workshop on NLP Applications to Field Linguistics
Month:
May
Year:
2023
Address:
Dubrovnik, Croatia
Editors:
Oleg Serikov, Ekaterina Voloshina, Anna Postnikova, Elena Klyachko, Ekaterina Vylomova, Tatiana Shavrina, Eric Le Ferrand, Valentin Malykh, Francis Tyers, Timofey Arkhangelskiy, Vladislav Mikhailov
Venue:
FieldMatters
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
86–94
Language:
URL:
https://aclanthology.org/2023.fieldmatters-1.10
DOI:
10.18653/v1/2023.fieldmatters-1.10
Bibkey:
Cite (ACL):
Albert Kornilov. 2023. Multilingual Automatic Extraction of Linguistic Data from Grammars. In Proceedings of the Second Workshop on NLP Applications to Field Linguistics, pages 86–94, Dubrovnik, Croatia. Association for Computational Linguistics.
Cite (Informal):
Multilingual Automatic Extraction of Linguistic Data from Grammars (Kornilov, FieldMatters 2023)
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PDF:
https://aclanthology.org/2023.fieldmatters-1.10.pdf
Video:
 https://aclanthology.org/2023.fieldmatters-1.10.mp4