Satyam Computer Services Limited

Mohamed Abdul Karim Sadiq

Varadarajan Sridhar

K Kalyana Rao

Text segmentation based on topic boundary detection has been an industry problem in automating information dissemination to targeted users. A system for automatic segmentation of ASR output text involves boundary identification based on 'topic' changes. The proposed approach is based on building a weighted graph to determine dependency in input sentences based on bi-directional analysis of the input sentences. Furthermore, the input sentences are segmented based on the notion of segment cohesiveness and the segmented sentences are merged based on preamble and postamble analyses.

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Bengaluru, India

Mohamed Abdul Karim Sadiq