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Context Sensitive Pattern Based Segmentation: A Thai Challenge

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F03%3A00008605" target="_blank" >RIV/00216224:14330/03:00008605 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Context Sensitive Pattern Based Segmentation: A Thai Challenge

  • Original language 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.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    IN - Informatics

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    Z - Vyzkumny zamer (s odkazem do CEZ)

Others

  • Publication year

    2003

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Proceedings of EACL 2003 workshop Computational Linguistics for South Asian Languages -- Expanding Synergies with Europe

  • ISBN

    1-932432-02-7

  • ISSN

  • e-ISSN

  • Number of pages

    8

  • Pages from-to

    65-72

  • Publisher name

    Association for Computational Linguistics

  • Place of publication

    Budapest

  • Event location

    Budapest

  • Event date

    Apr 14, 2003

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article