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Fine-grained evaluation of Quality Estimation for Machine translation based on a linguistically-motivated Test Suite ...
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Qualitative: Open Source Python Tool for Quality Estimation over Multiple Machine Translation Outputs
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In: Prague Bulletin of Mathematical Linguistics , Vol 102, Iss 1, Pp 5-16 (2014) (2014)
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A Richly Annotated, Multilingual Parallel Corpus for Hybrid Machine Translation
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In: http://www.lrec-conf.org/proceedings/lrec2012/pdf/444_Paper.pdf (2012)
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A Richly Annotated, Multilingual Parallel Corpus for Hybrid Machine Translation
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In: http://www.nclt.dcu.ie/mt/papers/pavel_LREC_2012b.pdf (2012)
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Abstract:
In recent years, machine translation (MT) research has focused on investigating how hybrid machine translation as well as system combination approaches can be designed so that the resulting hybrid translations show an improvement over the individual “component” translations. As a first step towards achieving this objective we have developed a parallel corpus with source text and the corresponding translation output from a number of machine translation engines, annotated with metadata information, capturing aspects of the translation process performed by the different MT systems. This corpus aims to serve as a basic resource for further research on whether hybrid machine translation algorithms and system combination techniques can benefit from additional (linguistically motivated, decoding, and runtime) information provided by the different systems involved. In this paper, we describe the annotated corpus we have created. We provide an overview on the component MT systems and the XLIFF-based annotation format we have developed. We also report on first experiments with the ML4HMT corpus data.
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Keyword:
Annotated Corpus; Machine Translation; System Combination
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URL: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.414.4579
http://www.nclt.dcu.ie/mt/papers/pavel_LREC_2012b.pdf
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Exploiting xle’s finite state interface in lfg-based statistical ma- translation
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In: http://www.lfg09.net/abstracts/lfg09abs_avramidis_kuhn.pdf (2009)
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Enriching morphologically poor languages for statistical machine translation
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In: http://www.mt-archive.info/ACL-2008-Avramidis.pdf (2008)
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Enriching Morphologically Poor Languages for Statistical Machine Translation
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In: http://aclweb.org/anthology-new/P/P08/P08-1087.pdf (2008)
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Evaluation without references: IBM1 scores as evaluation metrics
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In: http://www.aclweb.org/anthology-new/W/W11/W11-2109.pdf
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The ML4HMT Workshop on Optimising the Division of Labour in Hybrid Machine Translation
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In: http://www.nclt.dcu.ie/mt/papers/pavel_LREC_ML4HMT_2012.pdf
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The ML4HMT Workshop on Optimising the Division of Labour in Hybrid Machine Translation
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In: http://www.lrec-conf.org/proceedings/lrec2012/pdf/996_Paper.pdf
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The Prague Bulletin of Mathematical Linguistics RankEval: Open Tool for Evaluation of Machine-Learned Ranking
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In: http://ufal.mff.cuni.cz/pbml/100/art-avramidis.pdf
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Comparative quality estimation: Automatic sentence-level ranking of multiple Machine Translation outputs
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In: http://aclweb.org/anthology/C/C12/C12-1008.pdf
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Quality Estimation for Machine Translation output using linguistic analysis and decoding features
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In: http://www.aclweb.org/anthology/W/W12/W12-3108.pdf
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