Linguistic Diversity in Natural Language Processing

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.