Change points: ageing and content words in large a database
Identifieur interne : 000117 ( Main/Exploration ); précédent : 000116; suivant : 000118Change points: ageing and content words in large a database
Auteurs : Pa Fortier [Canada] ; Kj Keen [Canada] ; J. Fortier [Canada]Source :
- Literary and Linguistic Computing [ 0268-1145 ] ; 1997-04.
Abstract
Time-series analysis is applied to the most frequently occurring vocabulary relating to the concept of ageing in the Tresor de la Langue Francaise database. The chosen time-series method is the multiple regression model (sometimes called 'two-phase regression' or 'switching regression') of change-point analysis. The results produced by this method suggest possible interpretations of attitudes towards ageing in France during the period under study (1789-1964). The applicability of the multiple regression model of change-point analysis to literary texts is suggested.
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DOI: 10.1093/llc/12.1.15
Affiliations:
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