Near-synonymy and lexical choice
Computational Linguistics
Semantic representations of near-synonyms for automatic lexical choice
Semantic representations of near-synonyms for automatic lexical choice
Building a lexical knowledge-base of near-synonym differences
Building a lexical knowledge-base of near-synonym differences
Acquiring collocations for lexical choice between near-synonyms
ULA '02 Proceedings of the ACL-02 workshop on Unsupervised lexical acquisition - Volume 9
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Measuring differences between near-synonyms constitutes a major challenge in the development of electronic dictionaries and natural language processing systems. This paper presents a pilot study on how Population Test Method (PTM) may be used as an effective, empirical tool to define near-synonyms in a quantifiable manner. Use of PTM presumes that all knowledge about lexical meaning in a language resides collectively in the mind(s) of its native speakers, and that this intersubjective understanding may be extracted via targeted surveys that encourage creative, thinking responses. In this paper we show (1) examples of such tests performed on a group of high school students in Finland, (2) resulting data from the tests that is surprisingly quantifiable, and (3) a web-based visualization program we are developing to analyze and present the collected data.