This paper focuses on Example Based Machine Translation (EBMT) between English and Hindi, the most popular language in South Asia. Given an input sentence, an
EBMT 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 a
systematic adaptation scheme that takes into account the morphology and syntax of the input and the retrieved source language sentences.
N. Chatterjee and Dr. Deepa Gupta, “A Morpho-Syntax based Adaptation and Retrieval Scheme for English to Hindi EBMT”, in Workshop on Computational Linguistic for the Languages of South Asia: Expanding Synergies with Europe, 2003, p. 23.