Abstract
This paper describes an approach for handling structural divergences and recovering dropped arguments in an implemented Korean to English machine translation system. The approach relies on canonical predicate-argument structures (or dependency structures), which provide a suitable pivot representation for the handling of structural divergences and the recovery of dropped arguments. It can also be converted to and from the interface representations of many off-the-shelf parsers and generators.
The work reported in this paper was supported by contract DAAD 17-99-C-0008 awarded by the Army Research Lab to CoGenTex, Inc., with the University of Pennsylvania as a subcontractor and NSF Grant – VerbNet, IIS 98-00658. Owen Rambow’s contribution to this paper was made when he was with CoGenTex, Inc. and Nari Kim’s contribution was made when she was a visiting researcher at IRCS, UPenn.
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Han, Ch. et al. (2000). Handling Structural Divergences and Recovering Dropped Arguments in a Korean/English Machine Translation System. In: White, J.S. (eds) Envisioning Machine Translation in the Information Future. AMTA 2000. Lecture Notes in Computer Science(), vol 1934. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-39965-8_5
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DOI: https://doi.org/10.1007/3-540-39965-8_5
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