An Approach to Efficient Processing of Multi-word Units

  • Cvetana Krstev
  • Ivan Obradović
  • Ranka Stanković
  • Duško Vitas
Part of the Studies in Computational Intelligence book series (SCI, volume 458)

Abstract

Efficient processing of Multi-Word Units in the course of development of morphological MWU dictionaries is not easy to achieve, especially when languages with complex morphological structures are concerned, such as Serbian. Manual development of this type of dictionaries is a tedious and extremely slow process. To alleviate this problem we turned to our multipurpose software tool, dubbed LeXimir, in the production of lemmas for e-dictionaries of multi-word units. In addition to that, we developed a procedure aimed at making the production of MWU dictionary lemmas more efficient. This procedure, which strongly relies on our comprehensive e-dictionaries of Serbian simple words, was subsequently implemented as a new functionality LeXimir. In this paper we present our approach, and offer an evaluation of the performance of the new functionality of LeXimir, and hence of our procedure, obtained through two rounds of experiments on various types of data. The paper ends with a brief discussion of some further possible applications of both the procedure and LeXimir in various language processing tasks.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Alegria, I., Ansa, O., Artola, X., Ezeiza, N., Nojenola, K., Urizar, R.: Representation and Treatment of Multiword Expressions in Basque. In: Second ACL (ed.) Workshop on Multiword Expressions: Integrating Processing, Barcelona, Spain, pp. 48–55 (2004)Google Scholar
  2. 2.
    Arranz, V., Atserias, J., Castillo, M.: Multiwords and Word Sense Disambiguation. In: Gelbukh, A. (ed.) CICLing 2005. LNCS, vol. 3406, pp. 250–262. Springer, Heidelberg (2005)CrossRefGoogle Scholar
  3. 3.
    Calzolari, N., Fillmore, C.J., Grishman, R., Ide, N., Lenci, A., MacLoed, C., Zampolli, A.: Towards best practice for multiword expressions in computational lexicons. In: 3rd LREC 2002, pp. 1934–1940. ELRA, Las Palmas (2002)Google Scholar
  4. 4.
    Courtois, B., Garrigues, M., Gross, G., Gross, M., Jung, R., Mathieu-Colas, M., Silberztein, M., Vivés, R.: Dictionnaire électronique des noms composés delac: les composants NA et NN. Rapport Technique, vol. 55. LADL, Paris (1997)Google Scholar
  5. 5.
    Courtois, B., Silberztein, M.: Dictionnaires électroniques du français. Larousse, Paris (1990)Google Scholar
  6. 6.
    De Araujo, V., Ramisch, C., Villavicencio, A.: Fast and flexible mwe candidate generation with the mwetoolkit. In: Proceedings of the Workshop on Multiword Expressions: from Parsing and Generation to the Real World, pp. 134–136. ACL, Portland (2011)Google Scholar
  7. 7.
    Gross, M.: Lexicon-grammar. the representation of compound words. In: Proceedings of Coling 1986, pp. 1–6 (1986)Google Scholar
  8. 8.
    Gross, M.: The Use of Finite Automata in the Lexical Representation of Natural Language. In: Gross, M., Perrin, D. (eds.) LITP 1987. LNCS, vol. 377, pp. 34–50. Springer, Heidelberg (1989)CrossRefGoogle Scholar
  9. 9.
    Krstev, C.: Processing of Serbian — Automata, Texts and Electronic Dictionaries. Faculty of Philology. University of Belgrade, Belgrade (2008)Google Scholar
  10. 10.
    Krstev, C., Stanković, R., Obradović, I., Vitas, D., Utvić, M.: Automatic Construction of a Morphological Dictionary of Multi-Word Units. In: Loftsson, H., Rögnvaldsson, E., Helgadóttir, S. (eds.) IceTAL 2010. LNCS, vol. 6233, pp. 226–237. Springer, Heidelberg (2010)CrossRefGoogle Scholar
  11. 11.
    Krstev, C., Stanković, R., Vitas, D., Koeva, S.: E-Connecting Balkan Languages. In: Proc. of the Workshop on Multilingual Resources, Technologies and Evaluation for Central and Eastern European Languages — RANLP 2009, Borovetz, Bulgaria, pp. 23–29 (2009)Google Scholar
  12. 12.
    Krstev, C., Stanković, R., Vitas, D., Obradović, I.: The Usage of Various Lexical Resources and Tools to Improve the Performance of Web Search Engines. In: 6th LREC 2008. ELRA, Marrakech (2008)Google Scholar
  13. 13.
    Krstev, C., Vitas, D., Obradović, I., Utvić, M.: E-dictionaries and finite-state automata for the recognition of named entities. In: Proceedings of the 9th International Workshop on Finite State Methods and Natural Language Processing, pp. 48–56. ACL, Blois (2011)Google Scholar
  14. 14.
    Kyriacopoulou, T., Mrabti, S., Yannacopoulou, A.: Le dictionnaire électronique des noms composés en grec moderne. Lingvisticae Investigationes (2002)Google Scholar
  15. 15.
    Mota, C., Carvalho, P., Ranchhod, E.: Multiword lexical acquisition and dictionary formalization. In: Proceedings of the Workshop Enhancing and Using Electronic Dictionaries, Coling 2004, Geneva, Switzerland, pp. 73–77 (2004)Google Scholar
  16. 16.
    Paumier, S.: Unitex 2.1 User Manual (2011), http://www-igm.univ-mlv.fr/unitex/UnitexManual2.1.pdf
  17. 17.
    Przepiórkowski, A.: Slavonic information extraction and partial parsing. In: Proceedings of the Workshop on Balto-Slavonic Natural Language Processing: Information Extraction and Enabling Technologies, ACL 2007, pp. 1–10. ACL, Stroudsburg (2007)CrossRefGoogle Scholar
  18. 18.
    Sag, I.A., Baldwin, T., Bond, F., Copestake, A., Flickinger, D.: Multiword Expressions: A Pain in the Neck for NLP. In: Gelbukh, A. (ed.) CICLing 2002. LNCS, vol. 2276, pp. 1–15. Springer, Heidelberg (2002)CrossRefGoogle Scholar
  19. 19.
    Savary, A.: Recensement et description des mots composés - méthodes et applications. Ph.D. thesis, Université de Marne-la-Vallée (2000)Google Scholar
  20. 20.
    Savary, A.: Computational Inflection of Multi-Word Units — A Contrastive Study of Lexical Approaches. Linguistic Issues in Language Technologies 1(2) (2008)Google Scholar
  21. 21.
    Savary, A.: Multiflex: A Multilingual Finite-State Tool for Multi-Word Units. In: Maneth, S. (ed.) CIAA 2009. LNCS, vol. 5642, pp. 237–240. Springer, Heidelberg (2009)CrossRefGoogle Scholar
  22. 22.
    Savary, A., Krstev, C., Vitas, D.: Inflectional Non-compositionality and Variation of Compounds in French, Polish and Serbian, and Their Automatic Processing. Bulag — Bulletin de Linguistique Appliquée et Générale 32, 73–94 (2007)Google Scholar
  23. 23.
    Savary, A., Rabiega-Wisniewska, J., Wolinski, M.: Inflection of Polish Multi-Word Proper Names with Morfeusz and Multiflex. In: Marciniak, M., Mykowiecka, A. (eds.) Aspects of Natural Language Processing. LNCS, vol. 5070, pp. 111–141. Springer, Heidelberg (2009)CrossRefGoogle Scholar
  24. 24.
    Silberztein, M.: Nooj: A Linguistic Annotation System for Corpus Processing. In: Proceedings of HLT/EMNLP on Interactive Demonstrations, HLT-Demo 2005, pp. 10–11 (2005)Google Scholar
  25. 25.
    Stanković, R., Krstev, C., Obradović, I., Trtovac, A., Utvić, M.: A tool for enhanced search of multilingual digital libraries of e-journals. In: 8th LREC 2012. ELRA, Istanbul (2012)Google Scholar
  26. 26.
    Vietri, S., Elia, A., D’Agostino, E.: Lexicongrammar, electronic dictionaries and local grammars in italian. Lingvisticae Investigationes (2004)Google Scholar
  27. 27.
    Vitas, D., Popović, L., Krstev, C., Stanojević, M., Obradović, I.: Languages in the European Information Society — Serbian. META-NET White Paper Series, Berlin (2011)Google Scholar
  28. 28.
    Wehrli, E., Seretan, V., Nerima, L.: Sentence Analysis and Collocation Identification. In: Proc. of the Multiword Expressions: From Theory to Applications — MWE 2010, Beijing, China, pp. 28–36 (2010)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Cvetana Krstev
    • 1
  • Ivan Obradović
    • 2
  • Ranka Stanković
    • 2
  • Duško Vitas
    • 3
  1. 1.Faculty of PhilologyUniversity of BelgradeBelgradeSerbia
  2. 2.Faculty of Mining and GeologyUniversity of BelgradeBelgradeSerbia
  3. 3.Faculty of MathematicsUniversity of BelgradeBelgradeSerbia

Personalised recommendations