Creating Lexical Resources for Endangered Languages

Autor:	Khang Nhut Lam, Feras Al Tarouti, Jugal Kalita
Jazyk:	angličtina
Rok vydání:	2022
Předmět:	FOS: Computer and information sciences Computer Science - Computation and Language Computer science business.industry Bilingual dictionary InformationSystems_INFORMATIONSTORAGEANDRETRIEVAL Endangered species computer.software_genre ComputingMethodologies_ARTIFICIALINTELLIGENCE Linguistics ComputingMethodologies_PATTERNRECOGNITION Work (electrical) Endangered language ComputingMethodologies_DOCUMENTANDTEXTPROCESSING Artificial intelligence Construct (philosophy) business computer Computation and Language (cs.CL) Natural language processing
Popis:	This paper examines approaches to generate lexical resources for endangered languages. Our algorithms construct bilingual dictionaries and multilingual thesauruses using public Wordnets and a machine translator (MT). Since our work relies on only one bilingual dictionary between an endangered language and an "intermediate helper" language, it is applicable to languages that lack many existing resources. 9 pages
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ce9b4c2fb8ad7161242af0acfcf93dad http://arxiv.org/abs/2208.03876 Zobrazit plný text záznamu