Acquisition of Bilingual MT Lexicons from OCRed Dictionaries
This paper describes an approach to
analyzing the lexical structure of OCRed bilingual
dictionaries to construct resources suited for machine translation of
low-density languages, where online resources are limited. A rule-based, an HMM-based, and a
post-processed HMM-based method are used for rapid construction of MT lexicons
based on systematic structural clues provided in the original dictionary. We
evaluate the effectiveness of our techniques, concluding that: (1) the
rule-based method performs better with dictionaries where the font is not an
important distinguishing feature for determining information types; (2) the
post-processed stochastic method improves the results of the stochastic method
for phrasal entries; and (3) Our resulting bilingual lexicons are comprehensive
enough to provide the basis for reasonable translation results when compared to
human translations.
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