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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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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