[PDF] Top 20 Findings of the 2014 Workshop on Statistical Machine Translation
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Findings of the 2014 Workshop on Statistical Machine Translation
... summary translation) and Ta- bles 26 and 27 (for query ...each translation di- rection (white background) refers to constrained submissions and the second one (light-gray back- ground) to unconstrained ... See full document
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Findings of the 2011 Workshop on Statistical Machine Translation
... year’s workshop that were not part of previous workshops: • Haitian Creole featured task – In addition to translation between European language pairs, we featured a new translation task: translating ... See full document
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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 ... See full document
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Findings of the 2010 Joint Workshop on Statistical Machine Translation and Metrics for Machine Translation
... rule-based machine translation (RBMT) ...the statistical systems for German, and they were often difficult to rank properly us- ing automatic evaluation ... 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 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 2015 Workshop on Statistical Machine Translation
... Regarding the approaches proposed, this first experience was a conservative but, at the same time, promising first step. Although participants performed the task sharing the same statistical ap- proach to APE, the ... 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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The University of Maryland Statistical Machine Translation System for the Fourth Workshop on Machine Translation
... Our translation system makes use of a hierarchical phrase-based translation model (Chiang, 2007), which we argue is a strong baseline for these language ... See full document
5
Findings of the Second Workshop on Neural Machine Translation and Generation
... Team Amun’s contribution (Hoang et al., 2018a) was based on the “Amun” decoder and consisted of a number of optimizations to improve transla- tion speed on GPU. The first major unique con- tribution was a strategy of ... See full document
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The University of Maryland Statistical Machine Translation System for the Fifth Workshop on Machine Translation
... comes increasingly glaring, as the remote SRILM memory footprint drops to ≈450MB, a factor of nearly 24 compared to the local SRILM and a fac- tor of 10 compared to the process size with the RandLM. Thus, using the ... See full document
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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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Proceedings of the Joint Fifth Workshop on Statistical Machine Translation and MetricsMATR
... the workshop, in addition to soliciting relevant papers for review and possible presentation we conducted a shared task that brought together machine translation systems for an evaluation on ... See full document
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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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The SAS Statistical Machine Translation System for WAT 2014
... We use phrase-based model as baseline for the Chinese to Japanese track to evaluate the effect of SAS segmentation tool. The result of baseline is provided by the WAT organizer (Toshiaki, et al. 2014). Table 1 ... See full document
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Proceedings of the 1st Workshop on Semantics Driven Statistical Machine Translation (S2MT 2015)
... years, statistical machine translation has gradually shifted from surface form projec- tions to more sophisticated syntactically and to some extent also semantically informed trans- ... 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
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Proceedings of the Seventh Workshop on Statistical Machine Translation
... our workshop was to use parallel corpora for machine ...this workshop we encouraged researchers to investigate ways to improve the performance of SMT systems for diverse languages, including ... See full document
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Proceedings of the Eighth Workshop on Statistical Machine Translation
... Stephan Peitz, Saab Mansour, Matthias Huck, Markus Freitag, Hermann Ney, Eunah Cho, Teresa Herrmann, Mohammed Mediani, Jan Niehues, Alex Waibel, Alexander Allauzen, Quoc Khanh Do, Bianka Buschbeck and Tonio Wandmacher . ... See full document
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Yandex School of Data Analysis Russian English Machine Translation System for WMT14
... ACL 2014 Ninth Work- shop on Statistical Machine Translation shared translation ...previous translation task includ- ing unpruned language model, operation sequence model and the ... See full document
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