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
and an 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 on dictionaries with a simple structure;
(2) the stochastic method performs better on dictionaries with an enriched
structure; (3) regardless of the degree of dictionary richness, the
rule-based method gives better results for phrasal entries than for
single-word entries; and (4) Our resulting bilingual lexicons are
comprehensive enough to provide reasonable MT results when compared to
human-constructed lexicons.
(LAMP-TR-104)
(CAR-TR-986)
(UMIACS-TR-2003-78