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Sensitive Words and Their Application to Chinese Processing

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Text, Speech and Dialogue (TSD 2000)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 1902))

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Abstract

Sensitive words are the compound words whose syntactic category is different from those of their components. According to the segmentation, a sensitive word may play different roles, leading to significantly different syntactic structures. If a syntactic analysis fails for a Chinese sentence, instead of examining each segmentation alternative in turn, sensitive words should be first examined in order to change the syntactic structure of the sentence. This will lead to a higher efficiency. Our examination of a machine-readable dictionary shows that there are a great number of such words. This shows that sensitive word is a widespread phenomenon in Chinese.

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References

  1. Chang, J.-S., Chen, C.-D. and Chen, S.-D. Chinese word segmentation through constraint satisfaction and statistical optimisation. ROCLING-IV, Taiwan, 1991, pp. 147–165.

    Google Scholar 

  2. Chiang, T.-H., Chang, J.-S., Lin, M.-Y. and Su, K.-Y. Statistical models for segmentation and unknown word resolution. 5th R.O.C. Computational Linguistics Conference, 1992, pp. 123–146.

    Google Scholar 

  3. Dunning, T., Accurate Methods for the Statistics of Surprise and Coincidence. Computational Linguistics, vol. 19, 1993, pp. 61–74.

    Google Scholar 

  4. Li, B.-Y., Lien, S., Sun, C.-F. and Sun, M.-S. A maximal matching automatic Chinese word segmentation algorithm using corpus tagging for ambiguity resolution. R.O.C. Computational Linguistics Conference, Taiwan, 1991, pp. 135–146.

    Google Scholar 

  5. Liang, N. Y. and Zhen, Y.-B. A Chinese word segmentation model and a Chinese word segmentation system PC-CWSS. COLIPS, 1(1), 1991, pp. 51–55.

    MATH  Google Scholar 

  6. Liu, K.Y. Estimation report of Chinese word segmentation, Chinese Computer World, vol. 584, no. 12, 1996, pp. 187–189.

    Google Scholar 

  7. Sproat, R. and Shih, C. A statistical method for finding word boundaries in Chinese text. Computer Processing of Chinese and Oriental Languages, 4(4), 1991, pp. 336–351.

    Google Scholar 

  8. Yeh, C.-L. and Lee, H.-J. Rule-based word identification for Mandarin Chinese sentences-A unification approach. Computer processing of Chinese and Oriental Languages, 5(2), 1991, pp. 97–118.

    Google Scholar 

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© 2000 Springer-Verlag Berlin Heidelberg

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Ren, F., Nie, JY. (2000). Sensitive Words and Their Application to Chinese Processing. In: Sojka, P., Kopeček, I., Pala, K. (eds) Text, Speech and Dialogue. TSD 2000. Lecture Notes in Computer Science(), vol 1902. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45323-7_21

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  • DOI: https://doi.org/10.1007/3-540-45323-7_21

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-41042-3

  • Online ISBN: 978-3-540-45323-9

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