Loading...
Loading...

Go to the content (press return)

Joint Bayesian morphology learning of Dravidian languages

Author
Kumar, A.; Padro, L.; Oliver, A.
Type of activity
Presentation of work at congresses
Name of edition
Joint Workshop on Language Technology for Closely Related Languages, Varieties and Dialects
Date of publication
2016
Presentation's date
2015-09
Book of congress proceedings
RICTA 2015: Proceedings of the Joint Workshop on Language Technology for Closely Related Languages, Varieties and Dialects: Hissan, Bulgaria: September 10, 2015: proceedings book
Repository
http://hdl.handle.net/2117/83374 Open in new window
Abstract
In this paper a methodology for learning the complex agglutinative morphology of some Indian languages using Adaptor Grammars and morphology rules is presented. Adaptor grammars are a compositional Bayesian framework for grammatical inference, where we define a morphological grammar for agglutinative languages and morphological boundaries are inferred from a plain text corpus. Once morphological segmentations are produce, regular expressions for sandhi rules and orthography are applied to achiev...
Citation
Kumar, A., Padro, L., Oliver, A. Joint Bayesian Morphology learning of Dravidian Languages. A: Joint Workshop on Language Technology for Closely Related Languages, Varieties and Dialects. "RICTA 2015: Proceedings of the Joint Workshop on Language Technology for Closely Related Languages, Varieties and Dialects: Hissan, Bulgaria: September 10, 2015: proceedings book". Hissar: 2016.
Group of research
GPLN - Natural Language Processing Group
IDEAI-UPC - Intelligent Data Science and Artificial Intelligence Research Center
TALP - Centre for Language and Speech Technologies and Applications

Participants

  • Kumar, Arun  (author and speaker )
  • Padró Cirera, Lluís  (author and speaker )
  • Oliver González, Antoni  (author and speaker )

Attachments