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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Page: 1 2 Hits 1 – 20 of 24 1 Statistical post-editing and quality estimation for machine translation systems Béchara, Hanna. - : Dublin City University. School of Computing, 2014 In: Béchara, Hanna (2014) Statistical post-editing and quality estimation for machine translation systems. Master of Science thesis, Dublin City University. (2014) BASE Show details 2 What types of word alignment improve statistical machine translation? [<Journal>] Lambert, Patrik [Verfasser]; Petitrenaud, Simon [Verfasser]; Ma, Yanjun [Verfasser]. DNB Subject Category Language Show details 3 What types of word alignment improve statistical machine translation? Way, Andy; Lambert, Patrik; Ma, Yanjun... In: Machine translation. - Dordrecht [u.a.] : Springer Science + Business Media 26 (2012) 4, 289-323 BLLDB OLC Linguistik Show details 4 Kam-Fai Wong, Wenjie Li, Ruifeng Xu and Zheng-sheng Zhang: Introduction to Chinese natural language processing, Morgan and Claypool publishers, 2010, X + 148 pp [Rezension] Ma, Yanjun In: Machine translation. - Dordrecht [u.a.] : Springer Science + Business Media 24 (2010) 3-4, 279-283 BLLDB OLC Linguistik Show details 5 Statistical Analysis of Alignment Characteristics for Phrase-based Machine Translation Lambert, Patrik; Petitrenaud, Simon; Ma, Yanjun... In: Proceedings of the 14th European Association for Machine Translation ; https://hal.archives-ouvertes.fr/hal-00525181 ; Proceedings of the 14th European Association for Machine Translation, May 2010, Saint-Raphaël, France. no page number (2010) BASE Show details 6 HMM word-to-phrase alignment with dependency constraints Ma, Yanjun; Way, Andy In: Ma, Yanjun and Way, Andy orcid:0000-0001-5736-5930 (2010) HMM word-to-phrase alignment with dependency constraints. In: SSST 2010 - 4th Workshop on Syntax and Structure in Statistical Translation, 28 August 2010, Beijing, China. (2010) BASE Show details 7 Statistical analysis of alignment characteristics for phrase-based machine translation Lambert, Patrik; Petitrenaud, Simon; Ma, Yanjun... In: Lambert, Patrik, Petitrenaud, Simon, Ma, Yanjun and Way, Andy orcid:0000-0001-5736-5930 (2010) Statistical analysis of alignment characteristics for phrase-based machine translation. In: EAMT 2010 - 14th Annual Conference of the European Association for Machine Translation, 27-28 May 2010, Saint-Raphaël, France. (2010) BASE Show details 8 Accuracy-based scoring for phrase-based statistical machine translation Penkale, Sergio; Ma, Yanjun; Galron, Daniel... In: Penkale, Sergio, Ma, Yanjun, Galron, Daniel and Way, Andy orcid:0000-0001-5736-5930 (2010) Accuracy-based scoring for phrase-based statistical machine translation. In: AMTA 2010 - 9th Conference of the Association for Machine Translation in the Americas, 31 October - 4 November 2010, Denver, CO, USA. (2010) BASE Show details 9 Integrating N-best SMT outputs into a TM system Way, Andy; Ma, Yanjun; He, Yifan... In: He, Yifan, Ma, Yanjun, Way, Andy orcid:0000-0001-5736-5930 and van Genabith, Josef orcid:0000-0003-1322-7944 (2010) Integrating N-best SMT outputs into a TM system. In: COLING 2010 - 23rd International Conference on Computational Linguistics, 23-27 August 2010, Beijing, China. (2010) BASE Show details 10 Bridging SMT and TM with translation recommendation Way, Andy; Ma, Yanjun; He, Yifan... In: He, Yifan, Ma, Yanjun, van Genabith, Josef orcid:0000-0003-1322-7944 and Way, Andy orcid:0000-0001-5736-5930 (2010) Bridging SMT and TM with translation recommendation. In: ACL 2010 - 48th Annual Meeting of the Association for Computational Linguistics, 11-16 July 2010, Uppsala, Sweden. (2010) BASE Show details 11 Bridging SMT and TM with translation recommendation He, Yifan; Ma, Yanjun; Genabith, Josef van... In: Association for Computational Linguistics. Proceedings of the conference. - Stroudsburg, Penn. : ACL 48 (2010) 1, 622-630 BLLDB Show details 12 Bilingually motivated domain-adapted word segmentation for statistical machine translation Ma, Yanjun; Way, Andy In: Association for Computational Linguistics / European Chapter. Conference of the European Chapter of the Association for Computational Linguistics. - Menlo Park, Calif. : ACL 12 (2009), 549-557 BLLDB Show details 13 Constrained word alignment models for statistical machine translation Ma, Yanjun. - : Dublin City University. National Centre for Language Technology (NCLT), 2009. : Dublin City University. School of Computing, 2009 In: Ma, Yanjun (2009) Constrained word alignment models for statistical machine translation. PhD thesis, Dublin City University. (2009) BASE Show details 14 Using supertags as source language context in SMT Haque, Rejwanul; Naskar, Sudip Kumar; Ma, Yanjun... In: Haque, Rejwanul orcid:0000-0003-1680-0099 , Naskar, Sudip Kumar, Ma, Yanjun and Way, Andy orcid:0000-0001-5736-5930 (2009) Using supertags as source language context in SMT. In: EAMT 2009 - 13th Annual Conference of the European Association for Machine Translation, 13-15 May 2009, Barcelona, Spain. (2009) BASE Show details 15 Source-side context-informed hypothesis alignment for combining outputs from machine translation systems Du, Jinhua; Ma, Yanjun; Way, Andy In: Du, Jinhua orcid:0000-0002-3267-4881 , Ma, Yanjun and Way, Andy orcid:0000-0001-5736-5930 (2009) Source-side context-informed hypothesis alignment for combining outputs from machine translation systems. In: MT Summit XII - The twelfth Machine Translation Summit, 26-30 August 2009, Ottawa, Canada. (2009) BASE Show details 16 Bilingually motivated word segmentation for statistical machine translation Ma, Yanjun; Way, Andy In: Ma, Yanjun and Way, Andy orcid:0000-0001-5736-5930 (2009) Bilingually motivated word segmentation for statistical machine translation. ACM Transactions on Asian Language Information Processing, 8 (2). ISSN 1530-0226 (2009) BASE Show details 17 Tracking relevant alignment characteristics for machine translation Lambert, Patrik; Ma, Yanjun; Ozdowska, Sylwia... In: Lambert, Patrik, Ma, Yanjun, Ozdowska, Sylwia and Way, Andy orcid:0000-0001-5736-5930 (2009) Tracking relevant alignment characteristics for machine translation. In: MT Summit XII - The twelfth Machine Translation Summit, 26-30 August 2009, Ottawa, Canada. (2009) BASE Show details 18 Bilingually motivated domain-adapted word segmentation for statistical machine translation Ma, Yanjun; Way, Andy In: Ma, Yanjun and Way, Andy orcid:0000-0001-5736-5930 (2009) Bilingually motivated domain-adapted word segmentation for statistical machine translation. In: EACL 2009 Workshop on Computational Approaches to Semitic Languages, 31 March 2009, Athens, Greece. (2009) BASE Show details 19 Improving word alignment using syntactic dependencies Ma, Yanjun; Ozdowska, Sylwia; Sun, Yanli; Way, Andy In: Ma, Yanjun, Ozdowska, Sylwia, Sun, Yanli and Way, Andy orcid:0000-0001-5736-5930 (2008) Improving word alignment using syntactic dependencies. In: ACL08-SSST - Proceedings of ACL08 workshop on Syntax and Structure in Statistical Translation, 20 June 2008, Columbus, Ohio, USA. (2008) Abstract: We introduce a word alignment framework that facilitates the incorporation of syntax encoded in bilingual dependency tree pairs. Our model consists of two sub-models: an anchor word alignmentmodel which aims to find a set of high-precision anchor links and a syntax enhanced word alignment model which focuses on aligning the remaining words relying on dependency information invoked by the acquired anchor links. We show that our syntax enhanced word alignment approach leads to a 10.32% and 5.57% relative decrease in alignment error rate compared to a generative word alignment model and a syntax-proof discriminative word alignment model respectively. Furthermore, our approach is evaluated extrinsically using a phrase-based statistical machine translation system. The results show that SMT systems based on our word alignment approach tend to generate shorter outputs. Without length penalty, using our word alignments yields statistically significant improvement in Chinese–English machine translation in comparison with the baseline word alignment. Keyword: Machine translating URL: http://doras.dcu.ie/560/ BASE Hide details 20 Exploiting alignment techniques in MATREX: the DCU machine translation system for IWSLT 2008 Ma, Yanjun; Tinsley, John; Hassan, Hany... In: Ma, Yanjun, Tinsley, John, Hassan, Hany, Du, Jinhua orcid:0000-0002-3267-4881 and Way, Andy orcid:0000-0001-5736-5930 (2008) Exploiting alignment techniques in MATREX: the DCU machine translation system for IWSLT 2008. In: IWSLT 2008 - International Workshop on Spoken Language Translation, 20-21 October 2008, Hawaii, USA. (2008) BASE Show details Page: 1 2

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