Abstract
The Dravidian family is one of the most widely spoken set of languages in the world, yet there are very few annotated resources available to NLP researchers. To remedy this, we create DravMorph, a corpus annotated for morphological segmentation and part-of-speech. Also, we exploit novel features and higher-order models to achieve promising results on these corpora on both tasks, beating techniques proposed in the literature by as much as 4 points in segmentation F1.
Cite
CITATION STYLE
Kumar, A., Cotterell, R., Padró, L., & Oliver, A. (2017). Morphological analysis of the dravidian language family. In 15th Conference of the European Chapter of the Association for Computational Linguistics, EACL 2017 - Proceedings of Conference (Vol. 2, pp. 217–222). Association for Computational Linguistics (ACL). https://doi.org/10.18653/v1/e17-2035
Register to see more suggestions
Mendeley helps you to discover research relevant for your work.