期刊
JOURNAL OF MEMORY AND LANGUAGE
卷 135, 期 -, 页码 -出版社
ACADEMIC PRESS INC ELSEVIER SCIENCE
DOI: 10.1016/j.jml.2023.104477
关键词
Lexical choice; Word formation; Distributional semantic models; Novel compounds; Novel
This study investigates the cognitive-semantic question of the words speakers use and produce to convey meaning. The results show that responses are semantically close to the targets, with existing words being closer than novel words and even novel compounds often closer than the targets' free associates. Additionally, other participants are more likely to guess the correct original word for responses closer to the original targets and for novel compound responses compared to existing word responses. This demonstrates that both existing and novel words can be accurately captured in a unified computational framework of the semantic mechanisms driving word choice.
We investigate the onomasiological question of which words speakers actually use and produce when trying to convey an intended meaning. This is not limited to selecting the best-fitting available existing word, but also includes word formation, the coinage of novel words. In the first two experiments, we introduce the taboo game paradigm in which participants were instructed to produce a single-word substitution for different words so that others can later identify them. Using distributional semantic models with the capability to produce quantitative representations for existing and novel word responses, we find that (a) responses tend to be semantically close to the targets and (b) existing words were represented closer than novel words, but (c) even novel compounds were often closer than the targets' free associates. In a final third experiment, we find that other participants are more likely to guess the correct original word (a) for responses closer to the original targets, and (b) for novel compound responses as compared to existing word responses. This shows that the production of both existing and novel words can be accurately captured in a unified computational framework of the semantic mechanisms driving word choice.
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