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Corpus-Based Acquisition of Support Verb Constructions for Portuguese

  • Conference paper
Computational Processing of the Portuguese Language (PROPOR 2012)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 7243))

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Abstract

We present a resource-poor approach to automatically acquire Support Verb Constructions (SVCs) for European Portuguese with a two-stage procedure. First, we apply a cross-lingual approach with a bilingual parallel corpus: starting with a Portuguese full verb, we use the translations into another language and the corresponding backtranslations to identify Portuguese verb-noun pairs with the same meaning. Since not all of these are SVCs, the candidates are ranked and filtered in a second, monolingual step based on association statistics. We discuss two parametrisations of our procedure for a high-precision and a high-recall setting. In our experiments, these parametrisations achieve a maximum precision of 91% and a maximum recall of 86%, respectively.

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References

  1. Athayde, M.F.: Construções com Verbo-suporte (Funktionsverbgefüge) do Português e do Alemão. Cadernos Do Cieg 1, 5–68 (2001)

    Google Scholar 

  2. Bannard, C., Callison-Burch, C.: Paraphrasing with Bilingual Parallel Corpora. In: Proceedings of the 43rd Annual Meeting on Association for Computational Linguistics, Ann Arbor, MI, pp. 597–604 (2005)

    Google Scholar 

  3. Butt, M.: The Light Verb Jungle. Harvard Working Papers in Linguistics 9, 1–49 (2003)

    Google Scholar 

  4. Carreras, X., Chao, I., Padró, L., Padró, M.: FreeLing: an Open-Source Suite of Language Analyzers. In: Proceedings of the 4th International Conference on Language Resources and Evaluation, Lisbon, Portugal (2004)

    Google Scholar 

  5. Cinková, S., Pecina, P., Podveský, P., Schlesinger, P.: Semi-automatic Building of Swedish Collocation Lexicon. In: Proceedings of the 5th Conference on International Language Resources and Evaluation, Genoa, Italy (2006)

    Google Scholar 

  6. Cohen, J.: A Coefficient of Agreement for Nominal Scales. Educational and Psychological Measurement 20(1), 37–46 (1960)

    Article  Google Scholar 

  7. Duarte, I., Gonçalves, A., Miguel, M., Mendes, A., Hendrickx, I., Oliveira, F., Cunha, L.F., Silva, F., Silvano, P.: Light Verbs Features in European Portuguese. In: Proceedings of the 2nd Interdisciplinary Workshop on the Identification and Representation of Verb Features and Verb Classes, Pisa, Italy (2010)

    Google Scholar 

  8. Duran Sanches, M., Ramisch, C., Aluísio, S.M., Villavicencio, A.: Identifying and Analyzing Brazilian Portuguese Complex Predicates. In: Proceedings of the Workshop on Multiword Expressions: from Parsing and Generation to the Real World, Portland, USA, pp. 74–82 (2011)

    Google Scholar 

  9. Evert, S., Krenn, B.: Methods for the Qualitative Evaluation of Lexical Association Measures. In: Proceedings of the 39th Annual Meeting of the Association for Computational Linguistics, Toulouse, France, pp. 188–195 (2001)

    Google Scholar 

  10. Grefenstette, G., Teufel, S.: Corpus-Based Method for Automatic Identification of Support Verbs for Nominalizations. In: Proceedings of European Chapter of the Associaton of Computational Linguistics, Dublin, Ireland, pp. 98–103 (1995)

    Google Scholar 

  11. Hanks, P., Urbschat, A., Gehweiler, E.: German Light Verb Constructions in Corpora and Dictionaries. International Journal of Lexicography 19(4), 439–457 (2006)

    Article  Google Scholar 

  12. Hendrickx, I., Mendes, A., Pereira, S., Gonçalves, A., Duarte, I.: Complex Predicates Annotation in a Corpus of Portuguese. In: Proceedings of the 4th ACL Linguistic Annotation Workshop, Uppsala, Sweden, pp. 100–108 (2010)

    Google Scholar 

  13. Koehn, P.: Europarl: a Parallel Corpus for Statistical Machine Translation. In: Proceedings of the 10th Machine Translation Summit, Chiang Mai, Thailand, pp. 79–86 (2005)

    Google Scholar 

  14. Krenn, B., Evert, S.: Can We Do Better than Frequency? A Case Study on Extracting PP-Verb Collocations. In: Proceedings of the ACL Workshop on Collocations, Toulouse, France (2001)

    Google Scholar 

  15. Lin, D., Pantel, P.: Discovery of Inference Rules for Question Answering. Journal of Natural Language Engineering 7(4), 343–360 (2001)

    Article  Google Scholar 

  16. Landis, J.R., Koch, G.G.: The Measurement of Observer Agreement for Categorical Data. Biometrics 33(1), 159–174 (1977)

    Article  MathSciNet  MATH  Google Scholar 

  17. Mukerjee, A., Soni, A., Raina, A.M.: Detecting Complex Predicates in Hindi Using POS Projection across Parallel Corpora. In: Proceedings of the Workshop on Multiword Expressions: Identifying and Exploiting Underlying Properties, Sydney, Australia, pp. 28–35 (2006)

    Google Scholar 

  18. Och, F.J., Ney, H.: A Systematic Comparison of Various Statistical Alignment Models. Computational Linguistics 29(1), 19–51 (2003)

    Article  Google Scholar 

  19. Och, F.J., Tillmann, C., Ney, H.: Improved Alignment Models for Statistical Machine Translation. In: Proceedings of the Joint SIGDAT Conference on Empirical Methods in Natural Language Processing and Very Large Corpora, College Park, MD, pp. 20–28 (1999)

    Google Scholar 

  20. Padró, L., Collado, M., Reese, S., Lloberes, M., Castellón, I.: FreeLing 2.1: Five Years of Open-Source Language Processing Tools. In: Proceedings of the 7th Conference on International Language Resources and Evaluation, Valleta, Malta (2010)

    Google Scholar 

  21. Pantel, P., Ravichandran, D., Hovy, E.: Towards Terascale Knowledge Acquisition. In: Proceedings of the 20th International Conference on Computational Linguistics, Geneva, Switzerland, pp. 771–777 (2004)

    Google Scholar 

  22. Ruppenhofer, J., Ellsworth, M., Petruck, M.R.L., Johnson, C.R., Scheffczyk, J.: FrameNet II: Extended Theory and Practice (2010), https://framenet2.icsi.berkeley.edu/docs/r1.5/book.pdf

  23. Schmid, H.: Probabilistic Part-of-Speech Tagging Using Decision Trees. In: Proceedings of the International Conference on New Methods in Language Processing, Manchester, UK (1994)

    Google Scholar 

  24. Sinha, R.M.K.: Mining Complex Predicates in Hindi Using a Parallel Hindi-English Corpus. In: Proceedings of the Workshop on Multiword Expressions: Identification, Interpretation, Disambiguation and Applications, Singapore, pp. 40–46 (2009)

    Google Scholar 

  25. Storrer, A.: Corpus-based Investigations on German Support Verb Constructions. In: Fellbaum, C. (ed.) Collocations and Idioms: Linguistic, Lexicographic, and Computational Aspects, London, pp. 164–188.

    Google Scholar 

  26. Villada Moirón, B., Tiedemann, J.: Identifying Idiomatic Expressions Using Automatic Word-Alignment. In: Proceedings of the EACL Workshop on Multiword Expressions in a Multilingual Context, Trento, Italy (2006)

    Google Scholar 

  27. Wermter, J., Hahn, U.: Collocation Extraction Based on Modifiability Statistics. In: Proceedings of the 20th International Conference on Computational Linguistics, Geneva, Switzerland (2004)

    Google Scholar 

  28. Zarrieß, S., Kuhn, J.: Exploiting Translational Correspondences for Pattern-Independent MWE Identification. In: Proceedings of the Workshop on Multiword Expressions: Identification, Interpretation, Disambiguation and Applications, Singapore, pp. 23–30 (2009)

    Google Scholar 

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Author information

Authors and Affiliations

  1. Department of Computational Linguistics, Heidelberg University, Germany

    Britta D. Zeller & Sebastian Padó

Authors
  1. Britta D. Zeller
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  2. Sebastian Padó
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Editor information

Editors and Affiliations

  1. UFSCAR, Rod. Washington Luís, 13565-905, São Carlos, Brazil

    Helena Caseli

  2. UFRGS, Av. Bento Gonçalves, 9500, 91501-970, Porto Alegre, Brazil

    Aline Villavicencio

  3. DETI/IEETA, Universidade de Aveiro, Campus Universitário de Santiago, 3810-193, Aveiro, Portugal

    António Teixeira

  4. UC/ IT, DEEC, Universidade de Coimbra, Polo 2, 3030-290, Coimbra, Portugal

    Fernando Perdigão

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© 2012 Springer-Verlag Berlin Heidelberg

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Zeller, B.D., Padó, S. (2012). Corpus-Based Acquisition of Support Verb Constructions for Portuguese. In: Caseli, H., Villavicencio, A., Teixeira, A., Perdigão, F. (eds) Computational Processing of the Portuguese Language. PROPOR 2012. Lecture Notes in Computer Science(), vol 7243. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-28885-2_8

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  • DOI: https://doi.org/10.1007/978-3-642-28885-2_8

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-28884-5

  • Online ISBN: 978-3-642-28885-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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