[PDF] Top 20 Edinburgh’s Syntax Based Systems at WMT 2014
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Edinburgh’s Syntax Based Systems at WMT 2014
... This paper is organised as follows. In Sec- tion 2 we describe the core setup that is com- mon to all systems. In subsequent sections we de- scribe language-pair specific variations and exten- sions. For each ... See full document
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The Karlsruhe Institute of Technology Translation Systems for the WMT 2014
... Unless stated otherwise, we use 4-gram lan- guage models (LM) with modified Kneser-Ney smoothing, trained with the SRILM toolkit (Stol- cke, 2002). All translations are generated by an in-house phrase-based ... 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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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
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The CMU Machine Translation Systems at WMT 2013: Syntax, Synthetic Translation Options, and Pseudo References
... linear-chained CRF tagger which labels each char- acter in the Russian token with a sequence of zero or more English characters (Ammar et al., 2012). Since Russian names in the training set were in nominative case, we ... See full document
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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
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The IIT Bombay Hindi English Translation System at WMT 2014
... factor based models, whereas, for Hindi-to-English ranking we combine phrase based and phrase based with pre-ordering ...the systems, the output translations are adequate but not fluent ...So, ... 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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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
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Stanford University’s Submissions to the WMT 2014 Translation Task
... Our system performed comparatively poorly at cas- ing, as shown in Table 4. In analysis after the eval- uation, we found many of these errors related to words with internal capitals, such as “McCaskill”, because the ... See full document
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Edinburgh’s Syntax Based Systems at WMT 2015
... are based on IBM Models which often fail to align the out- of-English-order German verb, thus enabling the translation model to drop them, which the lan- guage model often ... 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 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
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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
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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 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 CMU Machine Translation Systems at WMT 2014
... 4.5 Paraphrase-Based Synthetic Phrases We used a graph-based method to obtain transla- tion distributions for source phrases that are not present in the phrase table extracted from the par- allel corpus. ... See full document
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Experiments in Medical Translation Shared Task at WMT 2014
... baseline systems comparable, instance selection was employed after word alignment using word aligner MGIZA++ (Gao and Vogel, 2008) on all the available ...of systems were trained using the default ... See full document
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LIMSI@WMT’17
... The filtering process was later followed by a sentence alignment check using the Microsoft sen- tence aligner. However, no further improvement was achieved with this method. The filtered- only data has shown the best ... See full document
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Learning Contextually Informed Representations for Linear Time Discourse Parsing
... paradigm- s: (a) high order parsers which jointly predict the tree structure of the discourse and the relations it encodes; or (b) linear- time parsers which are efficient but mostly based on local ... See full document
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