[PDF] Top 20 Findings of the 2013 Workshop on Statistical Machine Translation
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Findings of the 2013 Workshop on Statistical Machine Translation
... a translation with BLEU score of ...a translation with BLEU score of ...a translation with BLEU score of ...modelling translation differences com- pared to traditional, human reference-based ... 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 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 2009 Workshop on Statistical Machine Translation
... The table also lists the best systems among those which used only the provided materials. To determine this decision we excluded uncon- strained systems which employed significant ex- ternal resources. Specifically, we ... See full document
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Omnifluent English to French and Russian to English Systems for the 2013 Workshop on Statistical Machine Translation
... ing features as described in (Matusov and K¨opr¨u, 2010b) and the 5-gram target LM). When we also optimize the scaling factors for extended fea- tures, including the word-based and POS-based lexicalized reordering models ... See full document
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Findings of the 2014 Workshop on Statistical Machine Translation
... LIMSI (T2): The submission relies on a ran- dom forest classifier and considers only 16 dense and continuous features. To prevent sparsity issues, lexicalised information such as the word or the previous word identities ... See full document
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Findings of the 2015 Workshop on Statistical Machine Translation
... LIMSI. For the first edition of the APE shared task LIMSI submitted two systems (Wisniewski et al., 2015). The first one is based on the approach of Simard et al. (2007) and considers the APE task as a monolingual ... See full document
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Findings of the 2012 Workshop on Statistical Machine Translation
... UEDIN (R, S): The system uses the baseline fea- tures along with some additional features: bi- nary features for named entities in source using Stanford NER Tagger; binary indicators for oc- currence of quotes or ... See full document
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IRT based Aggregation Model of Crowdsourced Pairwise Comparison for Evaluating Machine Translations
... 2014. Findings of the 2014 workshop on statis- tical machine ...Ninth Workshop on Statistical Machine Translation (WMT), pages 12–58, Baltimore, Maryland, USA, ... See full document
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The University of Maryland Statistical Machine Translation System for the Fourth Workshop on Machine Translation
... the translation suffix arrays used to compute the translation grammar, we used the par- allel training data ...2008 workshop “news test” sets into two halves of approximately 1000 sentences each and ... See full document
5
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
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
5
Proceedings of the Fourth Workshop on Statistical Machine Translation
... the workshop, and these proceedings also include an overview paper for the shared task that summarizes the results, as well as provides information about the data used and any procedures that were followed in ... See full document
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Findings of the Second Workshop on Neural Machine Translation and Generation
... the findings of the Second Workshop on Neural Machine Translation and Generation, held in con- cert with the annual conference of the Association for Computational Linguistics (ACL ...neural ... See full document
10
Proceedings of the Joint Fifth Workshop on Statistical Machine Translation and MetricsMATR
... the workshop, and these proceedings also include an overview paper that summarizes the results, as well as provides information about the data used and any procedures that were followed in conducting or scoring ... See full document
18
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
Feature Decay Algorithms for Fast Deployment of Accurate Statistical Machine Translation Systems
... WMT13 translation task (Callison-Burch et al., 2013), which include English-German (en-de), English-Spanish (en-es), English-French (en-fr), English-Czech (en-cs), and English-Russian ... See full document
7
Residual Stacking of RNNs for Neural Machine Translation
... of machine translation is greatly improved by applying neural networks par- tially in a Statistical Machine Translation (SMT) pipeline (Zou et ...al., 2013) or training a ... See full document
7
The UA Prompsit hybrid machine translation system for the 2014 Workshop on Statistical Machine Translation
... shared translation task of the 2014 Workshop on Statistical Machine Trans- ...tistical machine translation system whose phrase table is enriched with information obtained from ... See full document
8
Proceedings of the Eighth Workshop on Statistical Machine Translation
... for Translation at the European Commission, Luxembourg) entitled “Machine Translation at the European Commission: Serving the multilingual needs of the European ... See full document
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