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Lexicalization in natural language generation: A survey

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Abstract

In natural language generation, a meaning representation of some kind is successively transformed into a sentence or a text. Naturally, a central subtask of this problem is the choice of words, orlexicalization. In this paper, we propose four major issues that determine how a generator tackles lexicalization, and survey the contributions that researchers have made to them. Open problems are identified, and a possible direction for future research is sketched.

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Authors and Affiliations

  1. FAW Ulm and University of Toronto, Canada

    Manfred Stede

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Stede, M. Lexicalization in natural language generation: A survey. Artif Intell Rev 8, 309–336 (1994). https://doi.org/10.1007/BF00849062

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