Unsupervised Text Segmentation Based on Native Language Characteristics

ACL 2017 Shervin MalmasiMark DrasMark JohnsonLan DuMagdalena Wolska

Most work on segmenting text does so on the basis of topic changes, but it can be of interest to segment by other, stylistically expressed characteristics such as change of authorship or native language. We propose a Bayesian unsupervised text segmentation approach to the latter... (read more)

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