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The ACCEPT academic portal : a user-centred online platform for pre-editing and post-editing
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In: ISBN: 9782970073659 ; New Horizons in Translation and Interpreting Studies (2015)
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Lexical semantics, Basque and Spanish in QTLeap: Quality Translation by Deep Language Engineering Approaches ; QTLeap - Traducción de calidad mediante tratamientos profundos de ingeniería lingüística
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A generalised alignment template formalism and its application to the inference of shallow-transfer machine translation rules from scarce bilingual corpora
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Using Machine Translation to Provide Target-Language Edit Hints in Computer Aided Translation Based on Translation Memories
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An Empirical Analysis of Data Selection Techniques in Statistical Machine Translation ; Análisis empírico de técnicas de selección de datos en traducción automática estadística
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Dynamic topic adaptation for improved contextual modelling in statistical machine translation
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O texto adaptado à máquina: estratégias de controle autoral para implementação da tradução automática
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On the feasibility of character n-grams pseudo-translation for Cross-Language Information Retrieval tasks
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The Role of Corpus Pattern Analysis in Machine Translation Evaluation
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A Machine-Aided Approach to Generating Grammar Rules from Japanese Source Text for Use in Hybrid and Rule-based Machine Translation Systems
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In: Theses and Dissertations (2015)
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Decoding strategies for syntax-based statistical machine translation ; Dekodierstrategien für syntaxbasierte statistische maschinelle Übersetzung
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A Linguist-Friendly Machine Translation System for Low-Resource Languages
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Translators and social media : communicating in a connected world
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Garcia, Ignacio (R7701). - : New Zealand, New Zealand Society of Translators & Interpreters, 2015
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Análise contrastiva entre preposições romenas e portuguesas através do uso de recursos bilingues
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Investigating the usefulness of machine translation for newcomers at the public library
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Minimum Bayes’ risk subsequence combination for machine translation
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Abstract:
The final publication is available at Springer via http://dx.doi.org/10.1007/s10044-014-0387-5 ; System combination has proved to be a successful technique in the pattern recognition field. However, several difficulties arise when combining the outputs of tasks, e.g. machine translation, that generate structured patterns. So far, machine translation system combination approaches either implement sophisticated classifiers to select one of the provided translations, or generate new sentences by combining the "best" subsequences of the provided translations. We present minimum Bayes' risk system combination (MBRSC), a system combination method for machine translation that gathers together the advantages of sentence-selection and subsequence-combination methods. MBRSC is able to detect and utilize the "best" subsequences of the provided translations to generate the optimal consensus translation with respect to a particular performance met- ric. Experiments show that MBRSC yields significant improvements in translation quality. ; Work supported by the EC (FEDER/FSE) and the Spanish MEC/MICINN under the MIPRCV "Consolider Ingenio 2010'' program (CSD2007-00018), the iTrans2 (TIN2009-14511) project, the UPV under Grant 20091027, the Spanish MITyC under the erudito.com (TSI-020110-2009-439) project and by the General-itat Valenciana under grant Prometeo/2009/014. ; Gonzalez Rubio, J.; Casacuberta Nolla, F. (2015). Minimum Bayes’ risk subsequence combination for machine translation. Pattern Analysis and Applications. 18(3):523-533. https://doi.org/10.1007/s10044-014-0387-5 ; S ; 523 ; 533 ; 18 ; 3 ; Bangalore S (2001) Computing consensus translation from multiple machine translation systems. In: IEEE automatic speech recognition and understanding workshop, pp 351–354 ; Becker MA (2008) Active learning - an explicit treatment of unreliable parameters. Ph.D. thesis, University of Edinburgh ; Bellman R (1957) Dynamic programming. 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Keyword:
LENGUAJES Y SISTEMAS INFORMATICOS; Minimum Bayes’ risk; Statistical machine translation; System combination
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URL: https://doi.org/10.1007/s10044-014-0387-5
http://hdl.handle.net/10251/63924
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Translating without In-domain Corpus: Machine TranslationPost-Editing with Online Learning Techniques
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An Empirical Analysis of Data Selection Techniques in Statistical Machine Translation ; Análisis empírico de técnicas de selección de datos en traducción automática estadística
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