Resolving translation mismatches with information flow

Authors:
Megumi Kameyama;Ryo Ochitani;Stanley Peters
Affiliations:
Stanford University, Stanford, CA;Stanford University, Stanford, CA;Stanford University, Stanford, CA
Venue:
ACL '91 Proceedings of the 29th annual meeting on Association for Computational Linguistics
Year:
1991

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Abstract

Languages differ in the concepts and real-world entities for which they have words and grammatical constructs. Therefore translation must sometimes be a matter of approximating the meaning of a source language text rather than finding an exact counterpart in the target language. We propose a translation framework based on Situation Theory. The basic ingredients are an information lattice, a representation scheme for utterances embedded in contexts, and a mismatch resolution scheme defined in terms of information flow. We motivate our approach with examples of translation between English and Japanese.