Skip to main content

A New Algorithm for Component Decomposition and Type Recognition of Tibetan Syllable

  • Conference paper
  • First Online:
Natural Language Processing and Chinese Computing (NLPCC 2019)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 11839))

  • 4685 Accesses

Abstract

In this paper, aiming at the problems including but not limited to Tibetan sorting, Tibetan syllable component attribute statistics, Tibetan speech recognition in the application field of component recognition of Tibetan syllable, we propose a new algorithm for component decomposition and type recognition of Tibetan syllable based on TSRM (Tibetan Syllable Rule Model). Experimental results on mixed-arranged complex Tibetan texts show that our newly proposed algorithm can achieve a score around 90% both accuracy rate and recall rate for Component Decomposition and Type Recognition of Tibetan Syllable.

Supported by National Science Foundation of China (No. 61751216), Key Projects of National Key Research and Develop Plan (No. 2017YFB140220), National Team and Key Laboratory Construction Project for Computer and Tibetan Information (TEF[2018[81).

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Zhaxi, F.: Tibetan sorting rules and come true automatic sorting in computer. China Tibetology 4, 128–135 (1999)

    Google Scholar 

  2. Jiang, D., Zhou, J.W.: On the sequence of Tibetan words and the method of making sequence. J. Chin. Inf. Process. 14(1), 56–62 (2000)

    Google Scholar 

  3. Huang, H.M., Zhao, C.X.: A DUCET-based Tibetan sorting algorithm. J. Chin. Inf. Process. 22(4), 109–113 (2008)

    Google Scholar 

  4. Banba, W., Drolkar, Dong, Z.C., et al.: Study on the sorting algorithm of Tibetan dictionary. J. Chin .Inf. Process. 19(1), 191–196 (2015)

    Google Scholar 

  5. Druggye, N.: A method for ordering Tibetan text based on Tibetan coded GB. J. Tibetan Univ. 23(1), 33–35 (2008). Natural Science Edition

    Google Scholar 

  6. Banba, W., Zhuo, G., Chen, Y.L., et al.: Study on recognition algorithms for Tibetan construction elements. J. Chin. Inf. Process. 28(3), 104–111 (2014)

    Google Scholar 

  7. Tshedpa. Research on the automatic recognition and sorting of Tibetan word components on the unicode. J. Tibetan Univ. 29(2), 80–86 (2014). Natural Science Edition

    Google Scholar 

  8. Renqing, Z., Qi, K.Y., Gongbao, Z.: Research the types of seven-tuple syllables in Tibetan. J. Northwest Univ. Natl. 36(97) 32–36 (2015). (Natural Science)

    Google Scholar 

  9. Huang, H.M., Da, F.P.: Collation-based judgment of modern Tibetan syllable. J. Comput. Appl. 9(7), 2003–2005 (2009)

    Google Scholar 

  10. Zhu, J., Li, T.R., Ge, S., et al.: Tibetan syllable rule model and applications. Acta Scientiarum Naturalium Universitatis Pekinensis 49(1), 68–74 (2013)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Jie Zhu .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Zhu, J., Wang, S., Wu, Y., Guan, M., Feng, Y. (2019). A New Algorithm for Component Decomposition and Type Recognition of Tibetan Syllable. In: Tang, J., Kan, MY., Zhao, D., Li, S., Zan, H. (eds) Natural Language Processing and Chinese Computing. NLPCC 2019. Lecture Notes in Computer Science(), vol 11839. Springer, Cham. https://doi.org/10.1007/978-3-030-32236-6_34

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-32236-6_34

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-32235-9

  • Online ISBN: 978-3-030-32236-6

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics