Title :
Transfer Grammar in Tamil-Hindi MT System
Author :
Devi, Sobha Lalitha ; Gopalan, Sindhuja ; Ram, V.S.
Author_Institution :
AU-KBC Res. Centre, Anna Univ., Chennai, India
Abstract :
In this paper, we present the work on transfer grammar, one of the most challenging issues in MT, in a bidirectional Tamil-Hindi translation system-Sam park. Transfer grammar between the above languages can be categorized into two levels (1) the structure transfer and (2) lexical level transfer. Tamil and Hindi differ extensively at the clausal construction level and at the verb formation level since Tamil is an agglutinative language and Hindi is not. Transfer grammar described here uses a hybrid approach using CRF a machine learning algorithm and linguistic rules for structure transfer, a rule based approach for word level transfer. We tested the approach in the Sam park system using web data and the results are encouraging.
Keywords :
Internet; computational linguistics; grammars; learning (artificial intelligence); natural language processing; Sampark; Tamil-Hindi MT system; Web data; bidirectional Tamil-Hindi translation system; lexical level transfer; linguistic rules; machine learning algorithm; structure transfer; transfer grammar; Accuracy; Compounds; Computational linguistics; Grammar; Random access memory; Semantics; Syntactics; Tamil-Hindi MT; syntactic structure transfer; transfer grammar; word level transfer;
Conference_Titel :
Asian Language Processing (IALP), 2013 International Conference on
Conference_Location :
Urumqi
DOI :
10.1109/IALP.2013.24
