Skip to main content

The Application of Morpho-Syntactic Language Processing to Effective Text Retrieval

  • Conference paper
ESPRIT ’90

Abstract

This paper describes some of the work done as part of the ESPRIT II SIMPR project. The aim of SIMPR is to research and develop methods for the effective retrieval and manipulation of textual information, using automatic natural language processing techniques. This paper describes the automatic language processing techniques developed during SIMPR and how these have been used to develop a method for retrieving and matching textual information. Input texts are processed automatically at the morpho-syntactic language analysis level and from this processing are generated tree-structured internal representations which are matched to perform retrieval. This paper describes the language analysis and how it is used in matching texts.

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. Collins Cobuild English Language Dictionary 1987. Collins: London and Glasgow.

    Google Scholar 

  2. “FASIT: Fully Automatic Syntactically-Based Indexing of Text”, M. Dillon and A.S. Gray, Journal of the ASIS, 34(2), 99–108,1983.

    Google Scholar 

  3. “Experiments in Automatic Phrase Indexing for Document Retrieval: A Comparison of Syntactic and Non-syntactic Methods”, J. Fagan, Department of Computer science, Cornell University Technical Report, 87–868, September 1987.

    Google Scholar 

  4. “Knowledge-Based Extraction of Analytics from Text”, F. Gibb et al., SIMPR Document No. SIMPR-SU-1989-4.1e, December 1989.

    Google Scholar 

  5. “Morphological Features for English”, J. Heikkil, SIMPR Document SIMPR-RUCL- 1990-13.2e, 1990.

    Google Scholar 

  6. “Parsing and Constraint Grammar”, F. Karlsson, Unpublished paper. Research Unit for Computational Linguistics, University of Helsinki, 1990.

    Google Scholar 

  7. “Constraint Grammar as a Framework for Parsing Running Text”, F. Karlsson, in: Proceedings from the XIII Conference on Computational Linguistics, M. Karlgren (Ed), Helsinki, Vol 3, pp168-173,1990.

    Google Scholar 

  8. “The Constraint Grammar Parser CGP”, F. Karlsson, Unpublished paper. Research Unit for Computational Linguistics, University of Helsinki 1990.

    Google Scholar 

  9. “Two-Level Morphology: A General Computational Model for Word-Form Recognition and Production”, K. Koskenniemi, Publications of the Dept. of General Linguistics, 11. University of Helsinki, 1983.

    Google Scholar 

  10. “The Constituent Object Parser: Syntactic Structure Matching for Information Retrieval”, D. Metzler and S.W. Haas, Proceedings of the ACM SIGIR Conference on Research and Development in Information Retrieval, Boston, 1989, also in ACM TOIS, 7(3), 292–316, July 1989.

    Google Scholar 

  11. “Conjunction, Ellipses and Other Discontinuous Constituents in the Constituent Object Parser”, D. Metzler et al., Information Processing and Management, 26(1), 53–72, 1990.

    Article  Google Scholar 

  12. “A Comprehensive Grammar of the English Language”, Quirk, Greenbaum, Leech, Svartvik, Longman: London and New York, 1983.

    Google Scholar 

  13. “Context Based Text Handling”, C. Schwartz et al., Information Processing and Management, 26(2), 219–226,1990.

    Article  Google Scholar 

  14. “Subject Classification Research”, C. Sharif et al, SIMPR Document No. SIMPR- SU-1989-6.1e, December 1989.

    Google Scholar 

  15. “Syntactic Processing for Text Analysis: A Survey”, P. Sheridan, SIMPR Document No. SIMPR-DCU-1989-8.2e, November, 1989.

    Google Scholar 

  16. “Structured Analytics: A Method for Handling Syntactic Ambiguity”, P. Sheridan and A.F. Smeaton, SIMPR Document No. SIMPR-DCU-1990-16.1e, March 1990.

    Google Scholar 

  17. “Experiments on Incorporating Syntactic Processing of User Queries into a Document Retrieval Strategy”, A.F. Smeaton and C.J. van Rijsbergen, Proceedings of ACM SIGIR Conference on Research and Development in Information Retrieval, 31–51, Grenoble, 1988.

    Google Scholar 

  18. “Searching Chemical Structures: Implications for Searching Parse Trees in SIMPR”, A.F. Smeaton, SIMPR Document No. SIMPR-DCU-1989-8.2e, May 1989.

    Google Scholar 

  19. “A Knowledge Representation for Conceptual Information Retrieval”, R.M. Tong et al. International Journal of Intelligent Systems, 4(3), 259–283, 1989

    Article  Google Scholar 

  20. “Compilation of a Computerised Master Lexicon for English” A. Voutilainen

    Google Scholar 

  21. “Inflectional Categories in the RUCL Master Lexicon (Version 1.1) for English”, A. Voutilainen

    Google Scholar 

  22. “Constraint Based Disambiguation of Lexical Ambiguity, with Special Reference to English”, A. Voutilainen, a tentative title for a forthcoming Ph.D thesis.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Rights and permissions

Reprints and permissions

Copyright information

© 1990 ECSC, EEC, EAEC, Brussels and Luxembourg

About this paper

Cite this paper

Smeaton, A.F., Voutilainen, A., Sheridan, P. (1990). The Application of Morpho-Syntactic Language Processing to Effective Text Retrieval. In: ESPRIT ’90. Springer, Dordrecht. https://doi.org/10.1007/978-94-009-0705-8_44

Download citation

  • DOI: https://doi.org/10.1007/978-94-009-0705-8_44

  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-94-010-6803-1

  • Online ISBN: 978-94-009-0705-8

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics