Linguistic Diversity in Natural Language Processing
Journal article, 2022

Although computational linguistics carries the promise of producing tools for processing and understanding a wide variety of languages, most of the work in NLP still focuses on a small number of languages, and in particular on English. The goal of this special issue is to promote linguistic diversity in NLP, by encouraging the publication of work on languages or language varieties less often studied, as well as methods that can easily and demonstrably be applied to those. Two articles are included in this special issue, one on language identification for building a resource for the Corsican language, the other on machine translation of two indigenous languages of northern Canada.

Author

Aarne Ranta

Chalmers, Computer Science and Engineering (Chalmers), Computing Science

University of Gothenburg

Cyril Goutte

National Research Council Canada

TAL Traitement Automatique des Langues

1248-9433 (ISSN)

Vol. 63 3 7-11

Subject Categories (SSIF 2025)

Natural Language Processing

Comparative Language Studies and Linguistics

Studies of Specific Languages

More information

Latest update

6/30/2025