An Analysis on Turkish Discourse Segmentation
نویسنده
چکیده
In this study a method for discourse segmentation is introduced and applied to the Turkish language domain. A high agreement among the subjects are observed by means of statistical methods. Another observation was that the outcome of the discourse segmentation has been in parallel with the predictions of both the Centering Theory and Discourse Marker. Decision trees for various combinations of criteria have been constructed by a Machine Learning technique.
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تاریخ انتشار 2000