Abstract
One of the main problems that impact the performance of crosslingual information retrieval (CLIR) systems is how the users express their information need in form of a query. Traditional CLIR systems are not fully effective when the user need is not expressed appropriately. The difficulty lies in dealing with the natural lexical ambiguity of the source and target language, which is not a trivial task that can be resolved fully automatic. Therefore, there is a need for systems that support users to overcome these shortcomings. In this chapter, we first discuss selected state-of-the art CLIR tools. The considered tools are web-based and support interactive translation processes. Based on the state-of-the-art review, we discuss identified issues and shortcomings and thus motivate requirements for CLIR tools that could improve retrieval performance. Finally, we propose an interactive approach that fulfils several of these requirements. It considers the user as an integral part of the CLIR process, in that the user can interact with provided contextual information in a way that allows to interactively improve the translation and thus improve the overall performance of the CLIR process.
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References
Aggarwal, C.C., Yu, P.S.: On effective conceptual indexing and similarity search in text data. In: Proc. of 2001 IEEE Intl. Conf. on Data Mining, ICDM 2001, pp. 3–10 (2001)
Ahmed, F., Nürnberger, A.: Evaluation of n-gram conflation approaches for arabic text retrieval. Journal of the American Society for Information Science and Technology (JASIST) 60(7), 1448–1465 (2009)
Ahmed, F., Nürnberger, A.: multi searcher: can we support people to get information from text they can’t read or understand? In: Proc. of 33rd Intl. ACM SIGIR Conf. (SIGIR 2010), pp. 837–838. ACM, NY (2010)
Ahmed, F., Nürnberger, A., De Luca, E.W.: Revised n-gram based automatic spelling correction tool to improve retrieval effectiveness. Research J. on Computer Science and Computer Engineering with Applications (Polibits) 40, 39–48 (2009)
Ahmed, F., Nürnberger, A., Nitsche, M.: Supporting Arabic Cross-Lingual Retrieval Using Contextual Information. In: Hanbury, A., Rauber, A., de Vries, A.P. (eds.) IRFC 2011. LNCS, vol. 6653, pp. 30–45. Springer, Heidelberg (2011)
Bian, G.W., Teng, S.Y.: Integrating query translation and text classification in a cross-language patent access system. In: Proc. of NTCIR-7 Workshop Meeting, pp. 16–19 (2008)
Braschler, M., Peters, C., Schäuble, P.: Cross-language information retrieval (clir) track overview. In: Proc. of 8th Text Retrieval Conference, pp. 25–33 (2000)
Capstick, J., Diagne, A.K., Erbach, G., Uszkoreit, H., Leisenberg, A., Leisenberg, M.: A system for supporting cross-lingual information retrieval. Information Processing and Management: an International 36(2), 275–289 (2000)
Carbonell, J.G., Yang, Y., Frederking, R.E., Brown, R.D., Geng, Y., Lee, D.: Translingual information retrieval: A comparative evaluation. In: Proc. of 15th Intl. Joint Conf. on Artificial Intelligence, pp. 708–714 (1997)
Dagan, I., Itai, A.: Word sense disambiguation using a second language monolingual corpus. Computational Linguistics 20(4), 563–596 (1994)
De Luca, E.W., Hauke, S., Nürnberger, A., Schlechtweg, S.: MultiLexExplorer - combining multilingual web search with multilingual lexical resources. In: Combined Works. on Language-Enhanced Educat. Techn. and Devel. and Eval. of Robust Spoken Dialogue Sys., pp. 17–21 (2006)
Fakhrahmad, S., Rezapour, A., Jahromi, M.Z., Sadreddini, M.: A new word sense disambiguation system based on deduction. In: Proceedings of the World Congress on Engineering (WCE 2011), pp. 1271–1281 (2011)
Fernandez-Amoros, D., Gil, R.H., Somolinos, J.A.C., Somolinos, C.C.: Automatic Word Sense Disambiguation Using Cooccurrence and Hierarchical Information. In: Hopfe, C.J., Rezgui, Y., Métais, E., Preece, A., Li, H. (eds.) NLDB 2010. LNCS, vol. 6177, pp. 60–67. Springer, Heidelberg (2010)
Gabrilovich, E., Broder, A., Fontoura, M., Joshi, A., Josifovski, V., Riedel, L., Zhang, T.: Classifying search queries using the web as a source of knowledge. ACM Transactions on the Web 3(2), 1–28 (2009)
van Gompel, M.: Uvt-wsd1: A cross-lingual word sense disambiguation system. In: Proceedings of the 5th International Workshop on Semantic Evaluation, SemEval 2010, pp. 238–241 (2010)
Koehn, P.: Europarl: A parallel corpus for statistical machine translation. In: Proceedings of the Tenth Machine Translation Summit, pp. 79–86. AAMT, Phuket (2005)
Lefever, E., Hoste, V.: Semeval-2010 task 3: Cross-lingual word sense disambiguation. In: Proceedings of the 5th International Workshop on Semantic Evaluation, SemEval 2010, pp. 15–20. Association for Computational Linguistics (2010)
Lopez-Ostenero, F., Gonzalo, J., Penas, A., Verdejo, F.: Interactive Cross-Language Searching: Phrases are Better than Terms of Query Formulation and Refinement. In: Peters, C., Braschler, M., Gonzalo, J. (eds.) CLEF 2002. LNCS, vol. 2785, pp. 416–429. Springer, Heidelberg (2003)
Oard, D.W.: Cross-language text retrieval research in the usa. In: Proc. of 3rd DELOS Workshop; Cross-Language Information Retrieval, No. 97-W003 in Ercim Workshop Proc. European Research Consortium for Informatics and Mathematics, pp. 7–16 (1997)
Oard, D.W., He, D., Wang, J.: User-assisted query translation for interactive cross-language information retrieval. Information Processing and Management: an International Journal 44(1), 181–211 (2008)
Ogden, W.C., Davis, M.W.: Improving cross-language text retrieval with human interactions. In: Proceedings of the 33rd Hawaii International Conference on System Sciences, p. 3044. IEEE Computer Society, Washington, DC (2000)
Petrelli, D., Beaulieu, M., Sanderson, M., Demetriou, G., Herring, P., Hansen, P.: Observing users, designing clarity: A case study on the user-centered design of a cross-language information retrieval system. Journal of the American Society for Information Science and Technology (JASIST) 55(10), 923–934 (2004)
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Saad, F., Nürnberger, A. (2013). Translation Ambiguity Resolution Using Interactive Contextual Information. In: Przepiórkowski, A., Piasecki, M., Jassem, K., Fuglewicz, P. (eds) Computational Linguistics. Studies in Computational Intelligence, vol 458. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-34399-5_12
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DOI: https://doi.org/10.1007/978-3-642-34399-5_12
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