Checking and bootstrapping lexical norms by means of word similarity indexes.
Summary of "Checking and bootstrapping lexical norms by means of word similarity indexes."
In psychology, lexical norms related to the semantic properties of words, such as concreteness and valence, are important research resources. Collecting such norms by asking judges to rate the words is very time consuming, which strongly limits the number of words that compose them. In the present article, we present a technique for estimating lexical norms based on the latent semantic analysis of a corpus. The analyses conducted emphasize the technique's effectiveness for several semantic dimensions. In addition to the extension of norms, this technique can be used to check human ratings to identify words for which the rating is very different from the corpus-based estimate.
Affiliation
Université Catholique de Louvain, Louvain-la-Neuve, Belgium, yves.bestgen@psp.ucl.ac.be.
Journal Details
This article was published in the following journal.
Name: Behavior research methods
ISSN: 1554-3528
Pages:
Links
- PubMed Source: http://www.ncbi.nlm.nih.gov/pubmed/22396137
- DOI: http://dx.doi.org/10.3758/s13428-012-0195-z
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