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Segmental HMM-based part-of-speech tagger

Bokaei, M. H ; Sharif University of Technology | 2010

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  1. Type of Document: Article
  2. DOI: 10.1109/ICALIP.2010.5685018
  3. Publisher: 2010
  4. Abstract:
  5. This paper presents a solution in order to solve the problem of using HMM-based POS tagger in some languages where a word can be comprised of several tokens. Viterbi algorithm is modified in order to support segment of words within a model state. In the other word, the proposed system has a built-in tokenizer where indicates words boundaries as well as its corresponding tag sequence
  6. Keywords:
  7. Model state ; Part-of-speech tagger ; PoS taggers ; Support segments ; Tokenizer ; Image processing ; Imaging systems ; Speech recognition ; Viterbi algorithm
  8. Source: 2010 International Conference on Audio, Language and Image Processing, ICALIP 2010, Shanghai, 23 November 2010 through 25 November 2010 ; 2010 , Pages 52-56 ; 9781424458653 (ISBN)
  9. URL: http://ieeexplore.ieee/document/5685018