Language and Text

The present study aims to explore whether dependency type can be used as a distinctive text vector for classifying English genres. Three classification methods, namely principal component analysis, hierarchical clustering, and random forest were employed to investigate the clustering effect. Results show that dependency type is an effective measure in distinguishing text genres, especially between spoken genre and written genre.