Skip to main content
SpringerLink
Log in

The Study of Natural Language Processing Based on Artificial Intelligence

  • Chapter
  • First Online:
Recent Advances in Computer Science and Information Engineering

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 125))

  • 204 Accesses

Abstract

In this paper, we study the Natural Language Processing in the communication management system and utilize the principle of Finite Automata Machine (FAM) in the AI theory to propose a simple and effective algorithm for Natural Language Processing. Furthermore, we present the structure model of the new algorithm and parameters configuration. The experimental results of our testing show that if we use this new algorithm neatly, it will bring us very good performance.

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

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 169.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 219.99
Price excludes VAT (USA)
  • Durable hardcover 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

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Jurafsky, D., Martin, J.H., Kehler, A., Vander Linden, K.: Speech and language processing: An introduction to natural language processing, computational linguistics, and speech recognition. MIT Press (2000)

    Google Scholar 

  2. Lapata, M.: Image and Natural Language Processing for Multimedia Information Retrieval. In: Gurrin, C., He, Y., Kazai, G., Kruschwitz, U., Little, S., Roelleke, T., Rüger, S., van Rijsbergen, K. (eds.) ECIR 2010. LNCS, vol. 5993, pp. 12–12. Springer, Heidelberg (2010)

    Chapter  Google Scholar 

  3. Suen, C.Y.: N-gram statistics for natural language understanding and text processing. IEEE Pattern Analysis and Machine Intelligence (2009)

    Google Scholar 

  4. Litman, D., Moore, J., Dzikovska, M.O.: Using Natural Language Processing to Analyze Tutorial Dialogue Corpora Across Domains Modalities. In: Proceeding of the 2009 Conference on Artificial Intelligence in Education (2009)

    Google Scholar 

  5. Snow, R., O’Connor, B., Jurafsky, D.: Spam and the ongoing battle for the inbox. In: EMNLP 2008 Proceedings of the Conference on Empirical Methods in Natural Language Processing (2008)

    Google Scholar 

  6. Gabrilovich, E., Markovitch, S.: Wikipedia-based semantic interpretation for natural language processing. Journal of Artificial Intelligence Research 34, 443–498 (2009)

    MATH  Google Scholar 

  7. Plath, W.J.: REQUEST: a natural language question-answering system. In: Network and Parallel Computing Workshops (2010); IBM Journal of Research and Development

    Google Scholar 

  8. Knight, K., May, J.: Applications of weighted automata in natural language processing. In: Handbook of Weighted Automata. Springer, Heidelberg (2009)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. North Computation Institute (NCI), Beijing, 100083, China

    Xia Yunye, Zhu Meizheng & Li Xin

Authors
  1. Xia Yunye
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Zhu Meizheng
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Li Xin
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Xia Yunye .

Editor information

Editors and Affiliations

  1. , College of Communication Engineering, Jilin University, Room 313, Building No.1, Changchun, Nanhu Avenue 5372, Jilin, 130012, China, People's Republic

    Zhihong Qian

  2. , Department of Electrical Engineering, The University of Mississippi, Anderson Hall 314, Mississippi, 38677, Mississippi, USA

    Lei Cao

  3. , Department of Electrical and Computer En, Naval Postgraduate School, Rm. 452 Spanagel Bldg. 232, Dyer Road 833, Monterey, 93943-5121, California, USA

    Weilian Su

  4. , Faculty of Computing, London Metropolitan University, Holloway Road 166-220, London, N7 8DB, United Kingdom

    Tingkai Wang

  5. , College of Software, Changchun University of Science and Tech, Changchun, Jilin, 130022, China, People's Republic

    Huamin Yang

Rights and permissions

Reprints and permissions

Copyright information

© 2012 Springer-Verlag GmbH Berlin Heidelberg

About this chapter

Cite this chapter

Yunye, X., Meizheng, Z., Xin, L. (2012). The Study of Natural Language Processing Based on Artificial Intelligence. In: Qian, Z., Cao, L., Su, W., Wang, T., Yang, H. (eds) Recent Advances in Computer Science and Information Engineering. Lecture Notes in Electrical Engineering, vol 125. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25789-6_5

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-25789-6_5

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-25788-9

  • Online ISBN: 978-3-642-25789-6

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics

Search

Navigation