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Learning agglutinative morphology of indian languages with linguistically motivated adaptor grammars

Author
Kumar, A.; Padro, L.; Oliver, A.
Type of activity
Presentation of work at congresses
Name of edition
Recent Advances in Natural Language Processing
Date of publication
2016
Presentation's date
2015-09
Book of congress proceedings
RANLP 2015: International Conference on Recent Advances in Natural Language Processing: Hissar, Bulgaria: September 7-9, 2015: proceedings book
First page
307
Last page
312
Repository
http://hdl.handle.net/2117/83344 Open in new window
URL
http://lml.bas.bg/ranlp2015/docs/RANLP_main.pdf Open in new window
Abstract
In this paper an automatic morphology learning system for complex and agglutinative languages is presented. We process complex agglutinative morphology of Indian languages using Adaptor Grammars and linguistic rules of morphology. Adaptor Grammars are a compositional Bayesian framework for grammatical inference, where we define a morphological boundaries are inferred from a corpora of plain text. Once it produces morphological segmentation, regular expressions for orthography rules are applied t...
Citation
Kumar, A., Padro, L., Oliver, A. Learning agglutinative morphology of indian languages with linguistically motivated adaptor grammars. A: Recent Advances in Natural Language Processing. "RANLP 2015: International Conference on Recent Advances in Natural Language Processing: Hissar, Bulgaria: September 7-9, 2015: proceedings book". Hissar: 2016, p. 307-312.
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 )

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