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Greek Text Segmentation Algorithm
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Title: Greek Text Segmentation Algorithm Research Question: How can we develop an efficient algorithm for segmenting Greek texts? Methodology: The study proposed a dynamic programming algorithm for segmenting Greek texts. This algorithm minimizes a segmentation cost function, which consists of two factors: (a) within-segment word similarity and (b) prior information about segment length. Results: The evaluation of the segmentation accuracy of the algorithm on a text collection consisting of Greek texts showed that the algorithm achieved high segmentation accuracy. Implications: The algorithm's high segmentation accuracy suggests that it is innovative and promising for use in information retrieval. It can be applied to either large texts or a stream of independent, concatenated texts, making it a versatile tool for segmenting Greek texts. Link to Article: https://arxiv.org/abs/0310041v1 Authors: arXiv ID: 0310041v1 [[Category:Computer Science]] [[Category:Algorithm]] [[Category:Texts]] [[Category:Greek]] [[Category:Segmentation]] [[Category:Segmenting]]
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