Creating Lexical Resources for Endangered Languages
Lam, Khang Nhut, Tarouti, Feras Al, Kalita, Jugal
–arXiv.org Artificial Intelligence
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.
arXiv.org Artificial Intelligence
Aug-7-2022
- Country:
- North America
- United States
- Oklahoma (0.04)
- New York (0.04)
- North Carolina (0.04)
- Montana (0.04)
- Massachusetts > Middlesex County
- Cambridge (0.04)
- Louisiana > Orleans Parish
- New Orleans (0.04)
- Colorado > El Paso County
- Colorado Springs (0.04)
- California > Los Angeles County
- Los Angeles (0.14)
- Canada > Quebec
- Montreal (0.04)
- United States
- Europe
- Romania (0.04)
- Germany > Berlin (0.04)
- Czechia (0.04)
- Switzerland > Geneva
- Geneva (0.04)
- Italy > Trentino-Alto Adige/Südtirol
- Trentino Province > Trento (0.04)
- Bulgaria > Sofia City Province
- Sofia (0.04)
- Asia
- Africa > Middle East
- Morocco (0.04)
- North America
- Genre:
- Research Report (0.84)
- Technology: