Survey on the Use of Typological Information in Natural Language Processing
This survey helps NLP researchers by consolidating typological information to support multilingual tasks, though it is incremental as it reviews existing work rather than introducing new methods.
The paper addresses the lack of a systematic survey on the use of linguistic typology in NLP, providing a comprehensive review of existing typological resources and their applications to inform and inspire future multilingual research.
In recent years linguistic typology, which classifies the world's languages according to their functional and structural properties, has been widely used to support multilingual NLP. While the growing importance of typological information in supporting multilingual tasks has been recognised, no systematic survey of existing typological resources and their use in NLP has been published. This paper provides such a survey as well as discussion which we hope will both inform and inspire future work in the area.