Skip to main content

Recognition of Author’s Scientific and Technical Terms

  • Conference paper
  • First Online:
Book cover Computational Linguistics and Intelligent Text Processing (CICLing 2001)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2004))

Abstract

The intensive use of terms of a specific terminology is admittedly one of the most distinguishing features of scientific and technical (sci-tech) texts. We propose to categorize the terms as either dictionary units of generally accepted terminology or new terms introduced into a sci-tech text to facilitate the description of new author’s concepts; we call such terms author’s. The pa- per discusses issues concerned with authors. terms, including frequent ways of their definition and using in sci-tech texts. It is argued that recognition of author’s sci-tech terms are important for NLP applications such as computer- aided scientific and literary editing, automatic text abstracting and summariza- tion, or acquiring of expert knowledge. A sketch of the procedure for recogni- tion of author’s terms with certain degree of accuracy is given.

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 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
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

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Apresian, Y.D., Cinman L.L. Computer-aided periphrasing. In: Semiotics and Informatics, Issue 36, Moscow, 1998.

    Google Scholar 

  2. Bolshakova, E.I., Vasilieva N.E. On the problem of computer-aided literary and scientific editing. Proceedings of International Workshop on Computational Linguistics and its Applications Dialog2000. Russia, Protvino, 2000.

    Google Scholar 

  3. Meyer, I. Knowledge Management for Terminology-Intensive Applications: Needs and Tools. In: Lexical semantics and Knowledge Represantation, First SIGLEX Workshop, J. Pustejovsky and S. Bergler (Eds.), Springer, 1991.

    Google Scholar 

  4. Olson, J., Rueter H. Extracting expertise from experts: methods for knowledge acquisition. Expert systems, Vol. 4, 1987, No. 4.

    Google Scholar 

  5. Paice, C.D., Jones P.A. The Identification of Important Concepts in Highly Structured Technical Papers. In: Proc. of the Sixteenth Annual Int. ACM SIGIR Conference on Research and Development in Information Retrieval, Pittsburg, 1993.

    Google Scholar 

  6. Pearson, J. Terms in Context. In: Studies in Corpus Linguistics. John Benjamins, Amsterdam, Vol. 1, 1998.

    Google Scholar 

  7. Penagos, C.R. Extraction of Knowledge about Terms from Indications of Metalinguistic Activity in Texts. Proceedings of Int. Conf. On Intelligent text processing and Computational Linguistics CICLing-2000, Mexico, 2000.

    Google Scholar 

  8. Pshenichnaya, L.E., Corenga O.N. Scientific Term in a Dictionary and in a Text. Nauchno-Texnicheskaya Informatciya (Scientific and Technical Information), 1991, No. 12.

    Google Scholar 

  9. Sager, J.C. A Practical Course in Terminology Processing. John Benjamins Publ. House, 1990.

    Google Scholar 

  10. Salton, G. Automatic Text Processing: the Transformation, Analysis, and Retrieval of Information by Computer. Reading, MA: Addison-Wesley, 1998.

    Google Scholar 

  11. Senkevich, M.P. Style of scientific speech and literary editing of scientific works. Moscow, Vysshaia Shkola, 1976.

    Google Scholar 

  12. Skorokhod’ko, E.F. Semantic Complexity of Word (Term): Network Parameters and Communicative Characteristics. Nauchno-Texnicheskaya Informatciya (Scientific and Technical Information), 1995, No. 2.

    Google Scholar 

  13. Zobel, J. Writing for Computer Science. Springer, 1997

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2001 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Bolshakova, E.I. (2001). Recognition of Author’s Scientific and Technical Terms. In: Gelbukh, A. (eds) Computational Linguistics and Intelligent Text Processing. CICLing 2001. Lecture Notes in Computer Science, vol 2004. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44686-9_29

Download citation

  • DOI: https://doi.org/10.1007/3-540-44686-9_29

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-41687-6

  • Online ISBN: 978-3-540-44686-6

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics