Understanding culture. Automatic semantic analysis of a general Web corpus and a corpus of elicited data.
Abstract
This study investigated the suitability of different methodological approaches to automatic semantic tagging in the analysis of cultural traits as they emerge from subjective meaning reactions to given words (EMUs). Elicited data from British native speakers were collected and coded manually and with an automatic tagging system (Wmatrix). The results of manual coding were then compared to the results offered by Wmatrix, at different levels and using a variety of methods. Furthermore, automatic tagging was applied to 10,000 sentences extracted from a general Web corpus and containing the node word, and the results of the Web corpus were compared to those of the elicited data. Though further investigation is needed, each of the experiments described provide interesting information for the definition of a method in the use of large corpora for the extraction of EMUs
Anno di pubblicazione
2010
ISSN
1617-8912
ISBN
Non Disponibile
Numero di citazioni Wos
Nessuna citazione
Ultimo Aggiornamento Citazioni
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Numero di citazioni Scopus
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Ultimo Aggiornamento Citazioni
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Settori ERC
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Codici ASJC
Non Disponibile
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