Publication Type : Journal Article
Publisher : EACL 2003
Source : EACL 2003 (2003)
Url : http://hnk.ffzg.hr/bibl/eacl2003/papers/workshop/w08.pdf#page=32
Campus : Bengaluru
School : Department of Computer Science and Engineering, School of Engineering
Department : Computer Science, Mathematics
Year : 2003
Abstract : This paper focuses on Example Based Machine Translation (EBMT) between English and Hindi, the most popular language in South Asia. Given an input sentence, anEBMT system retrieves similar sentence (s) from its example base and adapts their translation (s) suitably to generate the translation of the given input. This paper proposes asystematic adaptation scheme that takes into account the morphology and syntax of the input and the retrieved source language sentences.
Cite this Research Publication : Dr. Deepa Gupta and Chatterjee, N., “A Morpho-Syntax Based Adaptation and Retrieval Scheme for English to Hindi Example Based Machine Translation”, EACL 2003, 2003.