Abstract
In this paper we have performed a study on Apposition in Basque and we have developed a tool to identify and to detect automatically these structures. In fact, it is necessary to detect and to code this structures for advanced NLP applications. In our case, we plan to use the Apposition Detector in our Automatic Text Simplification system. This Detector applies a grammar that has been created using the Constraint Grammar formalism. The grammar is based, among others, on morphological features and linguistic information obtained by a named entity recogniser. We present the evaluation of that grammar and moreover, based on a study on errors, we propose a method to improve the results. We also use a Mention Detection System and we combine our results with those obtained by the Mention Detector to improve the performance.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Carroll, J., Minnen, G., Pearce, D., Canning, Y., Devlin, S., Tait, J.: Simplifying Text for Language-Impaired Readers. In: 9th Conference of the European Chapter of the Association for Computational Linguistics (1999)
Candido Jr, A., Maziero, E., Gasperin, C., Pardo, T.A.S., Specia, L., Aluisio, S.M.: Supporting the adaptation of texts for poor literacy readers: a text simplification editor for Brazilian Portuguese. In: Proceedings of the Fourth Workshop on Innovative Use of NLP for Building Educational Applications. EdAppsNLP 2009, pp. 34–42. Association for Computational Linguistics, Stroudsburg (2009)
Petersen, S.E., Ostendorf, M.: Text Simplification for Language Learners: A Corpus Analysis. In: Electrical Engineering (SLaTE), pp. 69–72 (2007)
Burstein, J.: Opportunities for Natural Language Processing Research in Education. In: Gelbukh, A. (ed.) CICLing 2009. LNCS, vol. 5449, pp. 6–27. Springer, Heidelberg (2009)
Poornima, C., Dhanalakshmi, V., Anand, K., Soman, K.: Rule based Sentence Simplification for English to Tamil Machine Translation System. International Journal of Computer Applications 25(8), 38–42 (2011)
Bernhard, D., De Viron, L., Moriceau, V., Tannier, X.: Question Generation for French: Collating Parsers and Paraphrasing Questions. Dialogue and Discourse 3(2), 43–74 (2012)
Jonnalagadda, S., Gonzalez, G.: Sentence simplification aids protein-protein interaction extraction. Arxiv preprint arXiv:1001.4273 (2010)
Labaka, G.: EUSMT: Incorporating Linguistic Information into SMT for a Morphologically Rich Language. Its use in SMT-RBMT-EBMT hybridation. PhD thesis, UPV-EHU (2010)
Siddharthan, A.: Syntactic simplification and text cohesion. Research on Language & Computation 4(1), 77–109 (2006)
Specia, L., Aluisio, S.M., Pardo, T.A.: Manual de Simplificaçāo Sintática para o Português. Technical Report NILC-TR-08-06, So Carlos-SP (2008)
Gonzalez-Dios, I.: Euskarazko egitura sintaktikoen azterketa testuen sinplifikazio automatikorako: Aposizioak, erlatibozko perpausak eta denborazko perpausak. Master’s thesis, University of the Basque Country (September 2011)
Freitas, M.C., Duarte, J.C., Santos, C.N., Milidiú, R.L., Rentería, R.P., Quental, V.: A machine learning approach to the identification of appositives. In: Sichman, J.S., Coelho, H., Rezende, S.O. (eds.) IBERAMIA 2006 and SBIA 2006. LNCS (LNAI), vol. 4140, pp. 309–318. Springer, Heidelberg (2006)
Phillips, W., Riloff, E.: Exploiting strong syntactic heuristics and co-training to learn semantic lexicons. In: Proceedings of the ACL-02 Conference on Empirical Methods in Natural Language Processing, vol. 10, pp. 125–132. Association for Computational Linguistics (2002)
Roth, D., Sammons, M.: Semantic and logical inference model for textual entailment. In: Proceedings of the ACL-PASCAL Workshop on Textual Entailment and Paraphrasing, pp. 107–112. Association for Computational Linguistics (2007)
Kummerfeld, J.K., Bansal, M., Burkett, D., Klein, D.: Mention detection: heuristics for the OntoNotes annotations. In: Proceedings of the Fifteenth Conference on Computational Natural Language Learning: Shared Task. CONLL Shared Task 2011, pp. 102–106. ACL, Stroudsburg (2011)
Béchet, N., Cellier, P., Charnois, T., Crémilleux, B.: Discovering linguistic patterns using sequence mining. In: Gelbukh, A. (ed.) CICLing 2012, Part I. LNCS, vol. 7181, pp. 154–165. Springer, Heidelberg (2012)
Fernandez Gonzalez, I.: Euskarazko Entitate-Izenak: identifikazioa, sailkapena, itzulpena eta desanbiguazioa. PhD thesis, UPV-EHU (2012)
Aduriz, I., Aranzabe, M.J., Arriola, J.M., de Ilarraza, A.D., Gojenola, K., Oronoz, M., Uria, L.: A cascaded syntactic analyser for basque. In: Gelbukh, A. (ed.) CICLing 2004. LNCS, vol. 2945, pp. 124–134. Springer, Heidelberg (2004)
Arrieta, B.: Azaleko sintaxiaren tratamendua ikasketa automatikoko tekniken bidez: euskarako kateen eta perpausen identifikazioa eta bere erabilera koma-zuzentzaile batean. PhD thesis, UPV-EHU (2010)
Soraluze, A., Arregi, O., Arregi, X., Ceberio, K., Díaz de Ilarraza, A.: Mention Detection: First Steps in the Development of a Basque Coreference Resolution System. In: Proceedings of KONVENS 2012, pp. 128–163 (2012)
Euskaltzaindia: Euskal gramatika laburra: perpaus bakuna. Euskaltzaindia (2002)
Alegria, I., Aranzabe, M.J., Ezeiza, A., Ezeiza, N., Urizar, R.: Robustness and customisation in an analyser/lemmatiser for Basque. In: LREC-2002 Customizing Knowledge in NLP Applications Workshop, pp. 1–6 (2002)
Karlsson, F., Voutilainen, A., Heikkila, J., Anttila, A.: Constraint Grammar, A Language-independent System for Parsing Unrestricted Text. Mouton de Gruyter (1995)
Aduriz, I., Aldezabal, I., Naki Alegria, I., Arriola, J.M., de Ilarraza, A.D., Ezeiza, N., Gojenola, K.: Finite State Applications for Basque. In: EACL 2003 Workshop on Finite-State Methods in Natural Language Processing, pp. 3–11 (2003)
Ezeiza, N.: Corpusak ustiatzeko tresna linguistikoak. Euskararen etiketatzaile morfosintaktiko sendo eta malgua. PhD thesis, UPV-EHU (2002)
Urizar, R.: Euskal lokuzioen tratamendu konputazionala. PhD thesis, UPV-EHU (2012)
Aduriz, I., Aranzabe, M.J., Arriola, J.M., Atutxa, A., Díaz de Ilarraza, A., Ezeiza, N., Gojenola, K., Oronoz, M., Soroa, A., Urizar, R.: A corpus of written Basque tagged at morphological and syntactic levels for automatic processing. In: Methodology and Steps Towards the Construction of EPEC, vol. 56, pp. 1–15. Rodopi (2006)
Aranzabe, M.J., Díaz de Ilarraza, A., Gonzalez-Dios, I.: Transforming Complex Sentences using Dependency Trees for Automatic Text Simplification in Basque (manuscript)
Aranzabe, M.J., Díaz de Ilarraza, A., Gonzalez-Dios, I.: First Approach to Automatic Text Simplification in Basque. In: Rello, L., Saggion, H. (eds.) Proceedings of the Natural Language Processing for Improving Textual Accessibility (NLP4ITA) Workshop (LREC 2012), Istanbul, Turkey, pp. 1–8 (2012)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2013 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Gonzalez-Dios, I., Aranzabe, M.J., Díaz de Ilarraza, A., Soraluze, A. (2013). Detecting Apposition for Text Simplification in Basque. In: Gelbukh, A. (eds) Computational Linguistics and Intelligent Text Processing. CICLing 2013. Lecture Notes in Computer Science, vol 7817. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-37256-8_42
Download citation
DOI: https://doi.org/10.1007/978-3-642-37256-8_42
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-37255-1
Online ISBN: 978-3-642-37256-8
eBook Packages: Computer ScienceComputer Science (R0)