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Abstract
The exact and automatic tagging the words in the texts of natural language is a very important problem. It will support a parsing for the texts, contribute to solve the polysemantic of the word, and help to access a semantic information, etc. Therefore, time tagging words in a text is always an essential problem, especially in th This paper will present the pruning techniques for tagging the texts of a natural language - the Viterbi algorithm [4]. The Viterbi pruning algorithm was tested with 1.000.000 words on the tag of the Wall Street Journal corpus [8].
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Article Details
Issue: Vol 8 No 11 (2005)
Page No.: 14-23
Published: Nov 30, 2005
Section: Article
DOI: https://doi.org/10.32508/stdj.v8i11.3088
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Copyright: The Authors. This is an open access article distributed under the terms of the Creative Commons Attribution License CC-BY 4.0., which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
How to Cite
Chi Hieu, N., Thi Tuoi, P., Xuan Dung, N., & Quang Chau, N. (2005). THE USE OF PRUNING TECHNIQUES FOR THE PART-OF-SPEECH TAGGING PROBLEM. Science and Technology Development Journal, 8(11), 14-23. https://doi.org/https://doi.org/10.32508/stdj.v8i11.3088
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