Context Sensitive Pattern Based Segmentation: A Thai Challenge

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Authors

SOJKA Petr ANTOŠ David

Year of publication 2003
Type Article in Proceedings
Conference Proceedings of EACL 2003 workshop Computational Linguistics for South Asian Languages -- Expanding Synergies with Europe
MU Faculty or unit

Faculty of Informatics

Citation
Web URL of Proceedings
Field Informatics
Keywords segmentation Thai competing patterns
Description A Thai written text is a string of symbols without explicit word boundaries. A method for a development of a segmentation tool from a corpus of already segmented text is described. The methodology is based on the technology of competing patterns. A new UNICODE pattern generation program, OPATGEN, is used for the learning phase. We have shown feasibility of our methodology by generating patterns for Thai segmentation from already segmented text of the Thai corpus ORCHID: the segmentation algorithm quickly reaches F-score of 93 %. Finally, we enumerate possible new applications based on the pattern technique, and conclude with the suggestion of a general Pattern Translation Process. The technology is general and can be used for any other segmentation tasks as phonetic, morphologic segmentation, word hyphenation, sentence segmentation and text topic segmentation for any language.
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