A Systematic Adaptation Scheme for English-Hindi Example-Based Machine Translation
نویسندگان
چکیده
The success of Example-Based Machine Translation (EBMT) often depends upon how efficient the adaptation scheme is. Adaptation primarily aims at modifying retrieved examples to meet the required demands of a given translation task. The present work looks at adaptation for EBMT from English to Hindi. This paper describes a rule-driven adaptation scheme for modifying a retrieved translation example to generate the translation of a given input. Only a selected set of sentence structures have been considered so far. The structural and morphological rules for the source and the target languages have been used to develop the scheme. KEY WORD : EBMT, Adaptation, Structural Modification, Morphological Modification.
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