Title :
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
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;
Conference_Titel :
Asian Language Processing (IALP), 2013 International Conference on
Conference_Location :
Urumqi
DOI :
10.1109/IALP.2013.59
