Typology of registers in the British national corpus : multi-feature and multi-dimensional analyses
This thesis is concerned with text typology. In this thesis, the written part of the British National Corpus World Edition, which is a one hundred million-word collection of British Enghsh, will be used to study the characterisation of text types by identifying their linguistic characteristics. By means of multivariate analysis, the variation of the iccurrence of selected linguistic features among genre categories or registers will be classified. A multivariate analysis of this sort holds out the promise of being able to systematize the genre categories in the corpus while also revealing the characteristic linguistic features of the groups classified. The criteria for classification will be based exclusively on the dimensions revealed as significant by the multivariate analysis. The groupings will then be interpreted linguistically. This thesis also deals with the study of sociolinguistic variables which are fairly systematically associated with region, class, ethnic group, age, and gender.
Takahashi, Kaoru
Typology of registers in the British national corpus : multi-feature and multi-dimensional analyses. This thesis is concerned with text typology. In this thesis, the written part of the British National Corpus World Edition, which is a one hundred million-word collection of British Enghsh, will be used to study the characterisation of text types by identifying their linguistic characteristics. By means of multivariate analysis, the variation of the iccurrence of selected linguistic features among genre categories or registers will be classified. A multivariate analysis of this sort holds out the promise of being able to systematize the genre categories in the corpus while also revealing the characteristic linguistic features of the groups classified. The criteria for classification will be based exclusively on the dimensions revealed as significant by the multivariate analysis. The groupings will then be interpreted linguistically. This thesis also deals with the study of sociolinguistic variables which are fairly systematically associated with region, class, ethnic group, age, and gender.
typology register british national corpus multi feature multi_dimensional analysis concerned text typology write part british national corpus world edition word collection british use study characterisation text_type identify linguistic_characteristic mean multivariate_analysis variation select linguistic_feature among genre category register classify multivariate_analysis sort hold promise able systematize genre category corpus also_reveal characteristic linguistic_feature group classify criterion classification base exclusively dimension reveal_significant multivariate_analysis grouping interpret linguistically also_deal study sociolinguistic variable fairly systematically associate region class ethnic_group age_gender