[PDF] Top 20 Findings of the 2012 Workshop on Statistical Machine Translation
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Findings of the 2012 Workshop on Statistical Machine Translation
... Manual evaluation is time consuming, and it re- quires a large effort to conduct on the scale of our workshop. We distributed the workload across a number of people, beginning with shared-task par- ticipants and ... See full document
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Findings of the 2013 Workshop on Statistical Machine Translation
... The system selection task is approached by means of pairwise ranking decisions. It uses Random Forest classifiers with ties, expand- ing the work of 402013cFormiga et al.), from which a full ranking can be derived and ... See full document
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Findings of the 2010 Joint Workshop on Statistical Machine Translation and Metrics for Machine Translation
... of machine translation systems, and thereby people who are used to machine transla- tion ...of translation systems exhibit a high degree of cor- relation between experts and ... See full document
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Findings of the 2009 Workshop on Statistical Machine Translation
... Tables 10 and 11 show the percent of times that the metrics’ scores were consistent with human rank- ings of every pair of translated sentences. 7 Since we eliminated sentence pairs that were judged to be equal, the ... See full document
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Findings of the 2011 Workshop on Statistical Machine Translation
... This year we introduced a new shared task that fo- cuses on using evaluation metrics to tune the param- eters of a statistical machine translation system. The intent of this task was to get ... See full document
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Findings of the 2014 Workshop on Statistical Machine Translation
... USHEFF (T1.1, T1.2, T1.3): USHEFF submis- sions exploit the use of consensus among MT systems by comparing the MT sys- tem output to several alternative translations generated by other MT systems (pseudo- references). ... See full document
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Findings of the 2015 Workshop on Statistical Machine Translation
... Advances in sentence- and word-level QE For sentence-level prediction, we used similar data and quality labels as in previous editions of the task: English-Spanish, news text domain and HTER labels to indicate ... See full document
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Simple and Effective Parameter Tuning for Domain Adaptation of Statistical Machine Translation
... long) translation table entries, while tuning with and for specific domains (while using generic training data) allows the MT system to stitch together translations from smaller bits and pieces with significantly ... See full document
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Calculation of Phrase Probabilities for Statistical Machine Translation by using Belief Functions
... Cobb, B. R. and Shenoy, P. P. (2006). A comparison of methods for transforming belief function models to probability models. International Journal of Approximate Reasoning, 41(3):255–266. DeNero, J., Gillick, D., Zhang, ... See full document
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Findings of the Second Workshop on Neural Machine Translation and Generation
... first workshop, we organized a shared ...The workshop pro- vided a set of baselines for the task, and elicited contributions to help push forward the Pareto fron- tier of both efficiency and ... See full document
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The University of Maryland Statistical Machine Translation System for the Fifth Workshop on Machine Translation
... In order to extract the translation grammar nec- essary for our model, we used the provided Eu- roparl and News Commentary parallel training data. The lowercased and tokenized training data was then filtered for ... See full document
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The University of Maryland Statistical Machine Translation System for the Fourth Workshop on Machine Translation
... Incorporating an n-gram language model proba- bility into a CKY-based decoder is challenging. When a partial hypothesis (also called an “item”) has been completed, it has not yet been determined what strings will ... See full document
5
ParFDA for Fast Deployment of Accurate Statistical Machine Translation Systems, Benchmarks, and Statistics
... Moses statistical machine translation (SMT) sys- tems for all language pairs in the workshop on statistical machine translation (Bojar et ...(WMT15) translation ... See full document
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Dealing with Input Noise in Statistical Machine Translation
... Fonollosa, 2012); first each character-sequence of the N-best list is transformed into a single-path word-based lattice, then the different word lattices are aligned to the original sequence through a distance ... See full document
10
Continuous Space Translation Models for Phrase Based Statistical Machine Translation
... The translation model P ( s | t ) is estimated from bitexts and the language model P ( t ) from monolingual ...The translation probabilities of these phrase pairs are usually estimated by simple relative ... See full document
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The UA Prompsit hybrid machine translation system for the 2014 Workshop on Statistical Machine Translation
... factored translation models do (Koehn and Hoang, 2007; Graham and van Genabith, ...independent statistical models for the translation of the different factors (lemmas, lexi- cal categories, ... See full document
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Continuous Measurement Scales in Human Evaluation of Machine Translation
... nual Workshop on Statistical Machine Translation (WMT) use human judgments of translation qual- ity to produce official rankings in shared tasks, ini- tially using an two-item ... See full document
9
Proceedings of the Joint Fifth Workshop on Statistical Machine Translation and MetricsMATR
... this workshop has been ...2005 Workshop on Building and Using Parallel ...the Workshop on Statistical Machine Translation was held at HLT-NAACL 2006 in New York City, USA, at ACL ... See full document
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Proceedings of the Ninth Workshop on Statistical Machine Translation
... this workshop has been ...the Workshop on Statistical Machine Translation was held at ACL 2007 in Prague, Czech Republic, ACL 2008, Columbus, Ohio, USA, EACL 2009 in Athens, Greece, ACL ... See full document
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Proceedings of the Seventh Workshop on Statistical Machine Translation
... for machine translation quality by comparing the metrics’ rankings to human rankings of MT ...the translation of smaller constituents within ... See full document
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