Abstract
Due to the limited availability of parallel data in many languages, we propose a methodology that benefits from comparable corpora to find translation equivalents for collocations (as a specific type of difficult-to-translate multi-word expressions). Finding translations is known to be more difficult for collocations than for words. We propose a method based on bilingual context extraction and build a word (distributional) representation model drawing on these bilingual contexts (bilingual English-Spanish contexts in our case). We show that the bilingual context construction is effective for the task of translation equivalent learning and that our method outperforms a simplified distributional similarity baseline in finding translation equivalents.
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Notes
- 1.
We use the lexicon built by applying GIZA++ on the Spanish–English portion of the Europarl.
- 2.
The software is available in the websites of the authors of [13].
- 3.
We set the frequency threshold to 10 in our experiments.
- 4.
- 5.
- 6.
- 7.
- 8.
- 9.
- 10.
The comparable corpora that we prepared is available on https://github.com/shivaat/EnEsCC.
- 11.
Note that we add noise in both Spanish–English and English–Spanish directions.
References
Aker, A., Kanoulas, E., Gaizauskas, R.: A light way to collect comparable corpora from the web. In: Proceedings of the Eight International Conference on Language Resources and Evaluation (LREC 2012) (2012)
Bannard, C.: A measure of syntactic flexibility for automatically identifying multiword expressions in corpora. In: Proceedings of the Workshop on a Broader Perspective on Multiword Expressions, pp. 1–8. Association for Computational Linguistics (2007)
Bouamor, D., Semmar, N., Zweigenbaum, P.: Identifying bilingual multi-word expressions for statistical machine translation. In: Proceedings of the Eight International Conference on Language Resources and Evaluation (LREC 2012), Istanbul, Turkey. European Language Resources Association (ELRA) (2012)
Bouamor, D., Semmar, N., Zweigenbaum, P.: Context vector disambiguation for bilingual lexicon extraction from comparable corpora. In: Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics, Sofia, Bulgaria, Short Papers, vol. 2, pp. 759–764. Association for Computational Linguistics (2013)
Pastor, G.C.: Collocations in e-bilingual dictionaries: from underlying theoretical assumptions to practical lexicography and translation issues. In: Torner, S., Bernal, E. (eds.) Collocations and Other Lexical Combinations in Spanish: Theoretical and Applied Approaches, pp. 173–199. Routledge, Abingdon (2017)
Evert, S.: The statistics of word cooccurrences : word pairs and collocations. Ph.D. thesis, Universität Stuttgart, Holzgartenstr. 16, 70174 Stuttgart (2005)
Fazly, A.: Automatic acquisition of lexical knowledge about multiword predicates. Ph.D. thesis, Department of Computer Science, University of Toronto (2007)
Fung, P.: A statistical view on bilingual lexicon extraction: from parallel corpora to non-parallel corpora. In: Farwell, D., Gerber, L., Hovy, E. (eds.) AMTA 1998. LNCS (LNAI), vol. 1529, pp. 1–17. Springer, Heidelberg (1998). https://doi.org/10.1007/3-540-49478-2_1
Fung, P., McKeown, K.: Finding terminology translations from non-parallel corpora. In: Proceedings of the 5th Annual Workshop on Very Large Corpora, pp. 192–202 (1997)
Ion, R.: PEXACC: a parallel sentence mining algorithm from comparable corpora. In: Proceedings of the Eight International Conference on Language Resources and Evaluation (LREC 2012) (2012)
Ismail, A., Manandhar, S.: Bilingual lexicon extraction from comparable corpora using in-domain terms. In: Proceedings of the 23rd International Conference on Computational Linguistics: Posters, pp. 481–489. Association for Computational Linguistics (2010)
Koehn, P.: Europarl: a parallel corpus for statistical machine translation. In: Conference Proceedings: The Tenth Machine Translation Summit, Phuket, Thailand, pp. 79–86 (2005)
Levy, O., Goldberg, Y.: Dependency-based word embeddings. In: Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, Baltimore, Maryland, Short Papers, vol. 2, pp. 302–308. Association for Computational Linguistics (2014)
McEnery, A., Xiao, R.: Parallel and comparable corpora: what is happening. In: Incorporating Corpora: The Linguist and the Translator, pp. 18–31 (2007)
Mendoza Rivera, O., Mitkov, R., Corpas Pastor, G.: A flexible framework for collocation retrieval and translation from parallel and comparable corpora. In: Workshop on Multi-word Units in Machine Translation and Translation Technology (2013)
Mikolov, T., Sutskever, I., Chen, K., Corrado, G.S., Dean, J.: Distributed representations of words and phrases and their compositionality. In: Advances in Neural Information Processing Systems, pp. 3111–3119 (2013)
Munteanu, D.S., Marcu, D.: Improving machine translation performance by exploiting non-parallel corpora. Comput. Linguist. 31(4), 477–504 (2005)
Pal, S., Pakray, P., Naskar, S.K.: Automatic building and using parallel resources for SMT from comparable corpora. In: Proceedings of the 3rd Workshop on Hybrid Approaches to Translation (HyTra) @ EACL, pp. 48–57 (2014)
Pecina, P.: An extensive empirical study of collocation extraction methods. In: Proceedings of the ACL Student Research Workshop, ACLstudent 2005, Stroudsburg, PA, USA, pp. 13–18. Association for Computational Linguistics (2005)
Pekar, V., Mitkov, R., Blagoev, D., Mulloni, A.: Finding translations for low-frequency words in comparable corpora. Mach. Transl. 20(4), 247–266 (2006)
Rapp, R.: Automatic identification of word translations from unrelated English and German corpora. In: Proceedings of the 37th Annual Meeting of the Association for Computational Linguistics on Computational Linguistics, pp. 519–526. Association for Computational Linguistics (1999)
Rapp, R., Sharoff, S.: Extracting multiword translations from aligned comparable documents. In: Proceedings of the 3rd Workshop on Hybrid Approaches to Translation (HyTra) @ EACL 2014, Gothenburg, Sweden, pp. 83–91 (2014)
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). https://doi.org/10.1007/3-540-45715-1_1
Smadja, F.: Retrieving collocations from text: Xtract. Comput. Linguist. 19, 143–177 (1993)
Smith, J.R., Quirk, C., Toutanova, K.: Extracting parallel sentences from comparable corpora using document level alignment. In: Proceedings of Human Language Technologies: The 11th Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL-HLT 2010), pp. 403–411 (2010)
Su, F., Babych, B.: Measuring comparability of documents in non-parallel corpora for efficient extraction of (semi-)parallel translation equivalents. In: Proceedings of the Joint Workshop on Exploiting Synergies Between Information Retrieval and Machine Translation (ESIRMT) and Hybrid Approaches to Machine Translation (HyTra), EACL 2012, Stroudsburg, PA, USA, pp. 10–19. Association for Computational Linguistics (2012)
Tiedemann, J.: Extraction of translation equivalents from parallel corpora. In: Proceedings of the 11th Nordic Conference on Computational Linguistics, pp. 120–128 (1998)
Acknowledgments
This work has been partially supported by the LATEST (Ref: 327197-FP7-PEOPLE-2012-IEF) project. The authors would like to express their gratitude to Anna de Santis and Lorena Gomez for their annotation work.
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Taslimipoor, S., Mitkov, R., Corpas Pastor, G., Fazly, A. (2018). Bilingual Contexts from Comparable Corpora to Mine for Translations of Collocations. In: Gelbukh, A. (eds) Computational Linguistics and Intelligent Text Processing. CICLing 2016. Lecture Notes in Computer Science(), vol 9624. Springer, Cham. https://doi.org/10.1007/978-3-319-75487-1_10
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