Pronominal Resolution in Tamil Using Tree CRFs

Author

Ram, R. Vijay Sundar ; Devi, Sobha Lalitha

Author_Institution

AU-KBC Res. Centre, Anna Univ., Chennai, India

fYear

2013

fDate

17-19 Aug. 2013

Firstpage

197

Lastpage

200

Abstract

We describe our work on pronominal resolution in Tamil using Tree CRFs. Pronominal resolution is the task of identifying the referent of a pronominal. In this work we have studied third person pronouns in Tamil such as ´avan´, ´aval´, ´athu´, ´avar´, he, she, it and they respectively. Tamil is a Dravidian language and it is morphologically rich and highly agglutinative language. Tree CRFs is a machine learning method, in which the data is modeled as a graph with edge weights used for learning. The features for learning are developed by using the morphological features of the language. The work is carried out on tourism domain data from the Web. We have obtained 70.8% precision and 66.5% recall. The results are encouraging.

Keywords

learning (artificial intelligence); mathematical morphology; natural language processing; trees (mathematics); Dravidian language; Tamil language; athu word; aval word; avan word; avar word; data modelling; graph edge weights; machine learning method; morphologically-rich agglutinative language; precision; pronominal referent identification; pronominal resolution; recall; tourism domain data; tree CRF; Computational linguistics; Inference algorithms; Joints; Machine learning algorithms; Random access memory; Semantics; Training; Tamil Anaphora resolution; Tree CRFs; machine learning; third person pronouns;

fLanguage

English

Publisher

ieee

Conference_Titel

Asian Language Processing (IALP), 2013 International Conference on

Conference_Location

Urumqi

Type

conf

DOI

10.1109/IALP.2013.59

Filename

6646036