[PDF] Top 20 Edinburgh’s Syntax Based Systems at WMT 2015
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Edinburgh’s Syntax Based Systems at WMT 2015
... and words in the translation hypotheses based on the dependency relations and words of the ances- tor and sibling nodes in the dependency tree. Our model contains several extensions over the origi- nal paper ... See full document
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The Edinburgh/LMU Hierarchical Machine Translation System for WMT 2016
... phrase-based systems (Galley and Manning, 2008), our model estimates the probabilities of ori- entation classes for each phrase (or: rule) from the training ... See full document
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The JHU Machine Translation Systems for WMT 2016
... and syntax-based sys- tems for all 12 language pairs of this year’s evaluation ...attention- based neural machine translation model as reranking ... See full document
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The CMU Machine Translation Systems at WMT 2013: Syntax, Synthetic Translation Options, and Pseudo References
... phrase based trans- lation can only generate input/output word pairs that were directly observed in the training corpus, the decoder’s only hope for producing a good out- put is to find a fluent, ... See full document
8
Edinburgh’s Phrase based Machine Translation Systems for WMT 14
... create systems for the medical trans- lation tasks, we used phrase-based Moses with ex- actly the same settings as for the news translation task, including the OSM (Durrani et ... See full document
8
The University of Illinois submission to the WMT 2015 Shared Translation Task
... our systems on the testing data from WMT ...phrase- based default Moses configuration with the 5-gram language model, and we found this outperformed a hierarchical phrase based configuration ... See full document
7
The Karlsruhe Institute of Technology Translation Systems for the WMT 2015
... The performance of the systems was boosted by using language models built based on different tokens such as word, part-of-speech, and automacally generated word clusters. The difference in word or- der ... See full document
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The Uppsala FBK systems at WMT 2011
... First we needed to convert dependency parses to a tree representation in order to use our data in the standard models of syntax-based models imple- mented in Moses. In our experiments, we used a parser ... See full document
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Montreal Neural Machine Translation Systems for WMT’15
... of WMT’15 will help us better un- derstand the quality of NMT systems which have mainly been evaluated using the automatic evalu- ation metric such as BLEU (Papineni et ...NMT systems are ... See full document
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Edinburgh’s Syntax Based Machine Translation Systems
... Galley, M., Graehl, J., Knight, K., Marcu, D., De- Neefe, S., Wang, W., and Thayer, I. (2006). Scalable inference and training of context-rich syntactic translation models. In ACL-44: Pro- ceedings of the 21st ... See full document
7
The JHU Machine Translation Systems for WMT 2017
... 2 million sentences from news crawl 2016 mono- lingual corpus and 1.5 million sentences from preprocessed CWMT Chinese monolingual cor- pus from our syntax-based system run and back- translated them with ... See full document
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The Edinburgh/JHU Phrase based Machine Translation Systems for WMT 2015
... model are a 5-gram LM score, phrase translation and lexical translation scores, word and phrase penalties, and a linear distortion score. The phrase translation probabilities are smoothed with Good- Turing smoothing ... See full document
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Edinburgh’s Syntax Based Systems at WMT 2014
... the WMT 2014 shared trans- lation task. We developed systems for English-German, Czech-English, French- English, German-English, Hindi-English, and ... See full document
8
Edinburgh Neural Machine Translation Systems for WMT 16
... the WMT 2016 shared news translation task by build- ing neural translation systems for four language pairs, each trained in both directions: English↔Czech, English ↔ German, English ↔ Romanian and ...Our ... See full document
6
Edinburgh’s Submission to all Tracks of the WMT 2009 Shared Task with Reordering and Speed Improvements to Moses
... the WMT 2009 shared task using the Moses phrase-based statistical machine transla- tion decoder, building systems for all lan- guage ...the systems, plus novel contributions to Moses includ- ... See full document
5
DFKI’s experimental hybrid MT system for WMT 2015
... individual systems where the final trans- lation output is produced by a sentence level se- lection mechanism, with the possibility to include deep linguistic and grammatical ... See full document
8
CMU Syntax Based Machine Translation at WMT 2011
... Based on the results presented in Section 3, we feel confident in declaring vocabulary-based filter- ing of the Giga-FrEn corpus a success. By increas- ing the size of our parallel corpus by 26%, we more ... See full document
7
UAlacant word level machine translation quality estimation system at WMT 2015
... Our submissions tackle the word-level MTQE sub-task, which proposes a framework for evalu- ating and comparing different approaches. This year, the sub-task used a dataset obtained by trans- lating segments in English ... See full document
7
SPMT: Statistical Machine Translation with Syntactified Target Language Phrases
... phrase- based system learns that, with high probabilities, the Chinese phrases “ASTRO- -NAUTS”, “FRANCE AND RUSSIA” and “COMINGFROM” can be trans- lated into English as “astronauts”/“cosmonauts”, “france and ... See full document
9
LIMSI’s Statistical Translation Systems for WMT’10
... It partly explains the difference between the num- ber of types and tokens between English and Ger- man in parallel texts. In most cases, compounds are formed by a mere concatenation of existing word forms, and can ... See full document
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