Survey on the Use of Typological Information in Natural Language Processing

Abstract

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.

References in corpus (6)

• Natural Language Processing (almost) from Scratch
• Multilingual Models for Compositional Distributed Semantics
• Separated by an Un-common Language: Towards Judgment Language Informed Vector Space Modeling
• A Bayesian Model for Discovering Typological Implications
• Reconstructing Native Language Typology from Foreign Language Usage
• Classifying Syntactic Regularities for Hundreds of Languages

Cited by in corpus (3)

• Challenges of language technologies for the indigenous languages of the Americas
• Inducing Language-Agnostic Multilingual Representations
• Fine-Grained Prediction of Syntactic Typology: Discovering Latent Structure with Supervised Learning