Will Sentences Have Divergence Upon Translation?: A Corpus-Evidence Based Solution for Example Based Approach
Deepa Gupta, Amrita Vishwa · 2009
This paper presents a corpus-evidence based scheme for deciding whether the translation of an English sentence into Hindi will involve divergence. Divergence is the phenomenon when sentences of similar structure in the source language do not translate into structurally similar sentences in the target language. Divergence assumes special signiflcance in the domain of Example Based Machine Translation (EBMT) where translation of a given sentence is generated by flrst retrieving translation example(s) of similar sentence(s) from the system’s example base, and then by adapting them suitably to meet the requirements of the present input sentence. Surely, occurrence of divergence poses a great hindrance in e‐cient adaptation