Concept-Based Lexical Selection*
Bonnie Jean Dorr, Clare R. Voss, Eric J. Peterson, Michael Kiker · 1994
We present a concept-based approach to the problem of lexical selection which allows us to deal precisely with lexicalization gaps or mismatches in mapping from a source language into a target language. We adopt a linguistically motivated scheme that makes use of a decompositional representation which can be classified in terms of a KR ontology. A main contribution of our representation scheme is the ability to handle cases where two concepts overlap, but neither subsumes the other. We have demonstrated the utility of our approach for mismatched verbs in English and German. 1 Introduction This paper presents a concept-based approach to the problem of lexical selection, i.e., the task of choosing an appropriate target-language term in generating text from an underlying meaning representation. Our goal is to provide a linguistically motivated scheme for handling lexical mismatches; we view this not solely as a language-to-language problem in the domain of machine translation, but as th...