Translation rule learning scheme for machine translation

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395759, G06F 1728

Patent

active

056873832

ABSTRACT:
A translation rule learning scheme for a machine translation using a computer, in which an original sentence in a first language and a translated sentence in a second language of a bilingual text are analyzed to obtain dependency structures indicating a predicate and a case information associated with the predicate in each language; case frame correspondences between the first and second languages are estimated by estimating correspondences of words in the dependency structures in the first and second languages according to a bilingual dictionary; the estimated case frame correspondences are modified by comparing the case information in the dependency structures in the first and second languages and estimating a missing case information in one language from an existing case information in another language; and translation rules are extracted from the modified case frame correspondences.

REFERENCES:
Utsuro et al., "Lexical Knowledge Acquisition from Bilingual Corpora", Proc. of the 14th International Conference on Computational Linguistics, pp. 581-587, Aug. 1992.
Kaji et al., "Learning Translation Templates from Bilingual Text", Proc. of the 14th International Conference on Compputational Linguistics, pp. 672-678, Aug. 1992.
Watanabe, "A Method for Extracting Translation Patterns from Translation Examples", IBM Research, Tokyo Research Laboratory, pp. 292-301.
Tanaka, "Verbal Case Frame Acquisition from a Bilingual Corpus: Gradual Knowledge Acquisition", NHK Science and Technical Research Laboratories, pp. 727-731.

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