Change points: ageing and content words in large a database.
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-po...
| Publicado en: | Literary & Linguistic Computing Vol. 12; no. 1; pp. 15 - 23 |
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| Autores principales: | , , |
| Formato: | Artículo |
| Publicado: |
Oxford University Press / USA
1997
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| Materias: | |
| Acceso en línea: | Ver este registro en EBSCOhost |
| Sumario: | 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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