Skip to main content

Automatic Word Clustering in Russian Texts

  • Conference paper
Text, Speech and Dialogue (TSD 2007)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 4629))

Included in the following conference series:

Abstract

The paper deals with development and application of automatic word clustering (AWC) tool aimed at processing Russian texts of various types, which should satisfy the requirements of flexibility and compatibility with other linguistic resources. The construction of AWC tool requires computer implementation of latent semantic analysis (LSA) combined with clustering algorithms. To meet the need, Python-based software has been developed. Major procedures performed by AWC tool are segmentation of input texts and context analysis, co-occurrence matrix construction, agglomerative and K-means clustering. Special attention is drawn to experimental results on clustering words in raw texts with changing parameters.

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 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

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Azarova, I.V., Marina, A.S.: Avtomatizirovannaja klassifikacija kontekstov pri podgotovke dannyh dl’a kompjuternogo tezaurusa RussNet. In: Kompjuternaja lingvistika i intellektual’nyje tehnologii: Trudy meždunarodnoj konferencii Dialog–2006, Moscow, pp. 13–17 (2006)

    Google Scholar 

  2. Baglej, S.G., Antonov, A.V., Meškov, V.S., Suhanov, A.V.: Klasterizacija dokumentov s ispol’zovanijem metainformacii. In: Kompjuternaja lingvistika i intellektual’nyje tehnologii: Trudy meždunarodnoj konferencii Dialog–2006, Moscow, pp. 38–45 (2006)

    Google Scholar 

  3. Križanovskij, A.A.: Avtomatizirovannoje postrojenije spiskov semantičeski blizkih slov na osnove rejtinga tekstov v korpuse s giperssylkami i kategorijami. In: Kompjuternaja lingvistika i intellektual’nyje tehnologii: Trudy meždunarodnoj konferencii Dialog–2006, Moscow, pp. 297–302 (2006)

    Google Scholar 

  4. Landauer, Th., Foltz, P.W., Laham, D.: Introduction to Latent Semantic Analysis. Discourse Processes 25, 259–284 (1998)

    Article  Google Scholar 

  5. Smrž, P., Rychlý, P.: Finding Semantically Related Words in Large Corpora. In: Matoušek, V., Mautner, P., Mouček, R., Tauser, K. (eds.) TSD 2001. LNCS (LNAI), vol. 2166, pp. 108–115. Springer, Heidelberg (2001)

    Google Scholar 

  6. Pekar, V.: Linguistic Preprocessing for Distributional Classification of Words. In: Proceedings of the COLING–04 Workshop on Enhancing and Using Electronic Dictionaries. Geneva, pp. 15–21 (2004)

    Google Scholar 

  7. Stein, B., Niggemann, O.: On the Nature of Structure and its Identification. In: Widmayer, P., Neyer, G., Eidenbenz, S. (eds.) WG 1999. LNCS, vol. 1665, pp. 122–134. Springer, Heidelberg (1999)

    Chapter  Google Scholar 

  8. Lin, D., Pantel, P.: Induction of Semantic Classes from Natural Language Text. In: Proceedings of ACM Conference on Knowledge Discovery and Data Mining KDD–01. San Francisco, CA, pp. 317–322 (2001)

    Google Scholar 

  9. Shin, S.-I., Choi, K.-S.: Automatic Word Sense Clustering Using Collocation for Sense Adaptation. In: Proceedings of the Second International WordNet Conference GWC–2004, Brno, Czech Republic, pp. 320–325 (2004)

    Google Scholar 

  10. Pantel, P.: Clustering by Committee. Ph.D. Dissertation, Department of Computing Science, University of Alberta (2003), http://www.isi.edu/~pantel/Content/publications.htm

  11. Stein, B., Meyer zu Eissen, S.: Document Categorization with MajorClust. In: Proceedings of the 12th Workshop on Information Technology and Systems WITS–02. Barcelona, Spain, pp. 91–96 (2002)

    Google Scholar 

  12. Azarova, I.V., Sinopal’nikova, A.A.: Ispol’zovanije statistiko-kombinatornyh svojstv korpusa sovremennyh tekstov dl’a formirovanija struktury kompjuternogo tezaurusa RussNet. In: Trudy meždunarodnoj konferencii Korpusnaja lingvistika – 2004, St.-Petersburg, pp. 5–15 (2004)

    Google Scholar 

  13. Doklady naučnoj konferencii Korpusnaja lingvistika i lingvističeskije bazy dannyh – 2002. St.-Petersburg (2002)

    Google Scholar 

  14. Trudy meždunarodnoj konferencii Korpusnaja lingvistika – 2004. St.-Petersburg (2004)

    Google Scholar 

  15. Trudy meždunarodnoj konferencii MegaLing–2005: Prikladnaja lingvistika v poiske novyh putej. St.-Petersburg (2005)

    Google Scholar 

  16. Trudy meždunarodnoj konferencii Korpusnaja lingvistika – 2006. St.-Petersburg (2006)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Václav Matoušek Pavel Mautner

Rights and permissions

Reprints and permissions

Copyright information

© 2007 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Mitrofanova, O., Mukhin, A., Panicheva, P., Savitsky, V. (2007). Automatic Word Clustering in Russian Texts. In: Matoušek, V., Mautner, P. (eds) Text, Speech and Dialogue. TSD 2007. Lecture Notes in Computer Science(), vol 4629. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74628-7_13

Download citation

  • DOI: https://doi.org/10.1007/978-3-540-74628-7_13

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-74627-0

  • Online ISBN: 978-3-540-74628-7

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics