Lexical-semantic divergence in Urdu-to-English Example Based Machine Translation
作者： Abdus Saboor , Mohammad Abid Khan
DOI: 10.1109/ICET.2010.5638469
关键词:
摘要: Divergence is one of the common obstacles in Example Based Machine Translation (EBMT). It needs to be identified, categorized and resolved obtain correct translation for any pair language. The focus this research on lexical semantic divergence six different types are identified generalizations made basis examples, Urdu English translation. Strategies also presented identification these types. This work helps efficient retrieval examples from a bilingual corpus, which turn will help alignment recombination stages EBMT, produce good quality
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