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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)
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2
Identifying high-impact sub-structures for convolution kernels in document-level sentiment classification
In: Tu, Zhaopeng, He, Yifan, Foster, Jennifer orcid:0000-0002-7789-4853 , van Genabith, Josef orcid:0000-0003-1322-7944 , Liu, Qun and Shouxun, Lin (2012) Identifying high-impact sub-structures for convolution kernels in document-level sentiment classification. In: Annual Meeting of the Association for Computational Linguistics (ACL 2012), 9-11 Jul 2012, Jelu, Korea. (2012)
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3
The integration of machine translation and translation memory
He, Yifan. - : Dublin City University. Centre for Next Generation Localisation (CNGL), 2011. : Dublin City University. School of Computing, 2011
In: He, Yifan (2011) The integration of machine translation and translation memory. PhD thesis, Dublin City University. (2011)
Abstract: We design and evaluate several models for integrating Machine Translation (MT) output into a Translation Memory (TM) environment to facilitate the adoption of MT technology in the localization industry. We begin with the integration on the segment level via translation recommendation and translation reranking. Given an input to be translated, our translation recommendation model compares the output from the MT and the TMsystems, and presents the better one to the post-editor. Our translation reranking model combines k-best lists from both systems, and generates a new list according to estimated post-editing effort. We perform both automatic and human evaluation on these models. When measured against the consensus of human judgement, the recommendation model obtains 0.91 precision at 0.93 recall, and the reranking model obtains 0.86 precision at 0.59 recall. The high precision of these models indicates that they can be integrated into TM environments without the risk of deteriorating the quality of the post-editing candidate, and can thereby preserve TM assets and established cost estimation methods associated with TMs. We then explore methods for a deeper integration of translation memory and machine translation on the sub-segment level. We predict whether phrase pairs derived from fuzzy matches could be used to constrain the translation of an input segment. Using a series of novel linguistically-motivated features, our constraints lead both to more consistent translation output, and to improved translation quality, reflected by a 1.2 improvement in BLEU score and a 0.72 reduction in TER score, both of statistical significance (p < 0.01). In sum, we present our work in three aspects: 1) translation recommendation and translation reranking models that can access high quality MT outputs in the TMenvironment, 2) a sub-segment translation memory and machine translation integration model that improves both translation consistency and translation quality, and 3) a human evaluation pipeline to validate the effectiveness of our models with human judgements.
Keyword: Computational linguistics; Machine translating; Translation Memory
URL: http://doras.dcu.ie/16426/
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4
Metric and reference factors in minimum error rate training
In: Machine translation. - Dordrecht [u.a.] : Springer Science + Business Media 24 (2010) 1, 27-38
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5
An algorithm for cross-lingual sense-clustering tested in a MT evaluation setting
In: Apidianaki, Marianna and He, Yifan (2010) An algorithm for cross-lingual sense-clustering tested in a MT evaluation setting. In: The 7th International Workshop on Spoken Language Translation (IWSLT 2010), 2-3 December, Paris, France. (2010)
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6
Integrating N-best SMT outputs into a TM system
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)
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7
Bridging SMT and TM with translation recommendation
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)
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8
The DCU dependency-based metric in WMT-MetricsMATR 2010
In: He, Yifan, Du, Jinhua orcid:0000-0002-3267-4881 , Way, Andy orcid:0000-0001-5736-5930 and van Genabith, Josef orcid:0000-0003-1322-7944 (2010) The DCU dependency-based metric in WMT-MetricsMATR 2010. In: WMT 2010 - Joint Fifth Workshop on Statistical Machine Translation and Metrics MATR, ACL 2010., 15-16 July, Uppsala, Sweden. (2010)
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9
Bridging SMT and TM with translation recommendation
In: Association for Computational Linguistics. Proceedings of the conference. - Stroudsburg, Penn. : ACL 48 (2010) 1, 622-630
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10
Capturing lexical variation in MT evaluation using automatically built sense-cluster inventories
In: Apidianaki, Marianna, He, Yifan and Way, Andy orcid:0000-0001-5736-5930 (2009) Capturing lexical variation in MT evaluation using automatically built sense-cluster inventories. In: PACLIC 23 - the 23rd Pacific Asia Conference on Language, Information and Computation, 3-5 December 2009, Hong Kong. (2009)
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11
MATREX: the DCU MT system for WMT 2009
In: Du, Jinhua orcid:0000-0002-3267-4881 , He, Yifan, Penkale, Sergio and Way, Andy orcid:0000-0001-5736-5930 (2009) MATREX: the DCU MT system for WMT 2009. In: WMT 2009 - Fourth Workshop on Statistical Machine Translation, 30-31 March 2009, Athens, Greece. (2009)
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