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- W2805693310 abstract "In this paper, we are interested in the topic segmentation of Arabic texts. For this aim, we evaluate two based lexical cohesion algorithms: MinCutSeg and BayesSeg by using the Pk and WindowDiff metrics. To assess how well each algorithm works, each was applied on three datasets with longer texts from two different domains: transcribed multi-party conversations and written texts. After adaptation to the Arabic language, the test results show significant differences in performance depending on the types of documents." @default.
- W2805693310 created "2018-06-13" @default.
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- W2805693310 date "2018-04-01" @default.
- W2805693310 modified "2023-09-26" @default.
- W2805693310 title "Evaluation of topic segmentation algorithms on Arabic texts" @default.
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- W2805693310 doi "https://doi.org/10.1109/icnlsp.2018.8374389" @default.
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