Suchergebnisse

[EN] Globalization has dramatically increased the need of translating information from one language to another. Frequently, such translation needs should be satisfied under very tight time constraints. Machine translation (MT) techniques can constitute a solution to this overly complex problem. However, the documents to be translated in real scenarios are often limited to a specific domain, such as a particular type of medical or legal text. This situation seriously hinders the applicability of MT, since it is usually expensive to build a reliable translation system, no matter what technology is used, due to the linguistic resources that are required to build them, such as dictionaries, translation memories or parallel texts. In order to solve this problem, we propose the application of automatic post-editing in an online learning framework. Our proposed technique allows the human expert to translate in a specific domain by using a base translation system designed to work in a general domain whose output is corrected (or adapted to the specific domain) by means of an automatic post-editing module. This automatic post-editing module learns to make its corrections from user feedback in real time by means of online learning techniques. We have validated our system using different translation technologies to implement the base translation system, as well as several texts involving different domains and languages. In most cases, our results show significant improvements in terms of BLEU (up to 16 points) with respect to the baseline systems. The proposed technique works effectively when the n-grams of the document to be translated presents a certain rate of repetition, situation which is common according to the document-internal repetition property. ; Work partially supported by the European Union 7th Framework Programme (FP7/2007-2013) under the CasMaCat Project (Grant Agreement No. 287576), by Spanish MICINN under Grant TIN2012-31723, and by the Generalitat Valenciana under Grant ALMPR ALMAMATER ...

[EN] We describe an open source workbench that offers advanced computer aided translation (CAT) functionality: post-editing machine translation (MT), interactive translation prediction (ITP), visualization of word alignment, extensive logging with replay mode, integration with eye trackers and e-pen. ; The research leading to these results has received funding from the European Union Seventh Framework Programme (FP7/2007-2013) under grant agreement 287576 (CASMACT). The workbench was developed in close collaboration with the MATECAT project. ; Alabau, V.; Bonkb, R.; Buck, C.; Carlb, M.; Casacuberta Nolla, F.; García-Martínez, M.; Gonzalez Rubio, J. (2013). CASMACAT: An open source workbench for advanced computer aided translation. Prague Bulletin of Mathematical Linguistics. 100(1):101-112. https://doi.org/10.2478/pralin-2013-0016 ; S ; 101 ; 112 ; 100 ; 1 ; Barrachina, S., Bender, O., Casacuberta, F., Civera, J., Cubel, E., Khadivi, S., … Vilar, J.-M. (2009). Statistical Approaches to Computer-Assisted Translation. Computational Linguistics, 35(1), 3-28. doi:10.1162/coli.2008.07-055-r2-06-29

[EN] We conducted a field trial in computer-assisted professional translation to compare interactive translation prediction (ITP) against conventional post-editing (PE) of machine translation (MT) output. In contrast to the conventional PE set-up, where an MT system first produces a static translation hypothesis that is then edited by a professional (hence "post-editing"), ITP constantly updates the translation hypothesis in real time in response to user edits. Our study involved nine professional translators and four reviewers working with the web-based CasMaCat workbench. Various new interactive features aiming to assist the post-editor/translator were also tested in this trial. Our results show that even with little training, ITP can be as productive as conventional PE in terms of the total time required to produce the final translation. Moreover, translation editors working with ITP require fewer key strokes to arrive at the final version of their translation. ; This work was supported by the European Union's 7th Framework Programme (FP7/2007–2013) under grant agreement No 287576 (CasMaCat ). ; Sanchis Trilles, G.; Alabau, V.; Buck, C.; Carl, M.; Casacuberta Nolla, F.; Garcia Martinez, MM.; Germann, U. (2014). Interactive translation prediction versus conventional post-editing in practice: a study with the CasMaCat workbench. Machine Translation. 28(3-4):217-235. https://doi.org/10.1007/s10590-014-9157-9 ; S ; 217 ; 235 ; 28 ; 3-4 ; Alabau V, Leiva LA, Ortiz-Martínez D, Casacuberta F (2012) User evaluation of interactive machine translation systems. In: Proceedings of the 16th Annual Conference of the European Association for Machine Translation, pp 20–23 ; Alabau V, Buck C, Carl M, Casacuberta F, García-Martínez M, Germann U, González-Rubio J, Hill R, Koehn P, Leiva L, Mesa-Lao B, Ortiz-Martínez D, Saint-Amand H, Sanchis-Trilles G, Tsoukala C (2014) Casmacat: A computer-assisted translation workbench. In: Proceedings of the 14th Conference of the European Chapter of the Association for Computational ...