Abstract
Machine translation (MT) from English to Portuguese has not typically received much attention in existing research. In this paper, we focus on MT from English to Portuguese for the specific domain of information technology (IT), building a small in-domain parallel corpus to address the lack of IT-specific and publicly-available parallel corpora and then adapted an existing hybrid MT system to the new language pair (English to Portuguese). We further improved the initial version of the EN-PT hybrid system by adding various modules to address the most frequently occurring errors in the initial system. In order to assess the improvements achieved by each of these dedicated modules, we compared all versions of our MT system automatically. In addition, we conduct and report on a detailed error analysis of the initial and final versions of our system.
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Notes
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Available from: http://www.meta-share.org/.
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Available from: http://www.microsoft.com/Language/en-US/Terminology.aspx.
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Available from: https://www.libreoffice.org/community/localization/.
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References
Agirre, E., Soroa, A.: Personalizing PageRank for word sense disambiguation. In: Proceedings of the 12th Conference of the European Chapter of the Association for Computational Linguistics, EACL 2009, pp. 33–41. Association for Computational Linguistics, Athens (2009)
Aziz, W., Specia, L.: Fully automatic compilation of a Portuguese-english parallel corpus for statistical machine translation. In: Proceedings of the 8th Brazilian Symposium in Information and Human Language Technology. Cuiabá, MT, October 2011
Bojar, O., Týnovský, M.: Evaluation of tree transfer system. Technical report, Charles University in Prague (2009)
Bojar, O., Žabokrtský, Z., Dušek, O., Galuščáková, P., Majliš, M., Mareček, D., Maršík, J., Novák, M., Popel, M., Tamchyna, A.: The joy of parallelism with CzEng 1.0. In: Proceedings of the 8th International Conference on Language Resources and Evaluation (LREC), pp. 3921–3928 (2012)
Branco, A., Silva, J.R.: A suite of shallow processing tools for Portuguese: LX-suite. In: Proceedings of the 11th Conference of the European Chapter of the Association for Computational Linguistics (EACL) (2006)
Costa, A., Luís, T., Coheur, L.: Translation errors from english to portuguese: an annotated corpus. In: Proceedings of the 9th International Conference on Language Resources and Evaluation (LREC) (2014)
Fellbaum, C.: WordNet: An Electronic Lexical Database. MIT Press, Cambridge (1998)
Gaudio, R.D., Burchardt, A., Branco, A.: Evaluating machine translation in a usage scenario. In: Proceedings of LREC (2016). (to appear in print)
Koehn, P.: Europarl: a parallel corpus for statistical machine translation. In: Proceedings of the Tenth Machine Translation Summit, pp. 79–86 (2005)
Koehn, P., Birch, A., Steinberger, R.: 462 machine translation systems for Europe. In: Proceedings of the MT Summit XII (2009)
McDonald, R., Pereira, F., Ribarov, K., Hajič, J.: Non-projective dependency parsing using spanning tree algorithms. In: Proceedings of the Conference on Human Language Technology and Empirical Methods in Natural Language Processing (EMNLP), pp. 523–530 (2005)
Neale, S., Gomes, L., Branco, A.: First steps in using word senses as contextual features in maxent models for machine translation. In: Proceedings of the First Workshop on Deep Machine Translation, DMTW-2015, pp. 64–72 (2015)
Nilsson, J., Riedel, S., Yuret, D.: The CoNLL 2007 shared task on dependency parsing. In: Proceedings of the CoNLL shared task session of EMNLP-CoNLL, pp. 915–932 (2007)
Papineni, K., Roukos, S., Ward, T., Zhu, W.J.: BLEU: a method for automatic evaluation of machine translation. In: Proceedings of ACL (2002)
Rodrigues, J., Rendeiro, N., Querido, A., Štajner, S., Branco, A.: Bootstrapping a hybrid MT system to a new language pair. In: Proceedings of LREC (2016). (to appear in print)
Sgall, P., Hajicová, E., Panevová, J.: The Meaning of the Sentence in its Semantic and Pragmatic Aspects. Springer Science & Business Media (1986)
Silva, J., Rodrigues, J., Gomes, L., Branco, A.: Bootstrapping a hybrid deep MT system. In: Proceedings of the Fourth Workshop on Hybrid Approaches to Translation (HyTra), pp. 1–5. ACL (2015)
Spoustová, D., Hajič, J., Votrubec, J., Krbec, P., Květoň, P.: The best of two worlds: cooperation of statistical and rule-based taggers for czech. In: Proceedings of the Workshop on Balto-Slavonic Natural Language Processing, pp. 67–74 (2007)
Štajner, S., Rodrigues, J., Gomes, L., Branco, A.: Machine translation for multilingual troubleshooting in the IT domain: a comparison of different strategies. In: Proceedings of the Deep Machine Translation Workshop (DMTW), pp. 106–115 (2015)
Žabokrtský, Z., Ptáček, J., Pajas, P.: TectoMT: highly modular MT system with tectogrammatics used as transfer layer. In: Proceedings of the Third Workshop on Statistical Machine Translation, pp. 167–170 (2008)
Acknowledgements
The results reported in this paper were partially supported by the Portuguese Government’s P2020 program under the grant 08/SI/2015/3279: ASSET-Intelligent Assistance for Everyone Everywhere, and by the EC’s FP7 program under the grant number 610516: QTLeap-Quality Translation by Deep Language Engineering Approaches.
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Rodrigues, J. et al. (2016). Domain-Specific Hybrid Machine Translation from English to Portuguese. In: Silva, J., Ribeiro, R., Quaresma, P., Adami, A., Branco, A. (eds) Computational Processing of the Portuguese Language. PROPOR 2016. Lecture Notes in Computer Science(), vol 9727. Springer, Cham. https://doi.org/10.1007/978-3-319-41552-9_5
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