[PDF] Top 20 LIMSI Submission for WMT’14 QE Task
Has 10000 "LIMSI Submission for WMT’14 QE Task" found on our website. Below are the top 20 most common "LIMSI Submission for WMT’14 QE Task".
LIMSI Submission for WMT’14 QE Task
... describes LIMSI submission to the WMT’14 Shared Task on Quality ...estimation task (Task 2) for the English to Spanish direction. This task consists in predicting, ... See full document
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LIMSI Submission for the WMT‘13 Quality Estimation Task: an Experiment with N Gram Posteriors
... These features sets differ, in several ways, from the baseline feature set provided by the shared task organizers. First, in addition to features derived from a language model, it also includes several features ... See full document
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The ILSP/ARC submission to the WMT 2016 Bilingual Document Alignment Shared Task
... Before submitting our proposed pairs on the shared task test data, we also evaluated our sys- tem on the training data. The latter consisted of a set of 1,624 EN-FR pairs extracted by the orga- nizers from 49 ... See full document
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DCU Symantec Submission for the WMT 2012 Quality Estimation Task
... estimation task with a 4-point scale, namely whether a spanning parse can be found, in addition to LM perplexity and sentence ...the QE task, ... See full document
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LIMSI@WMT’17
... This paper describes LIMSI’s submissions to the news shared task at WMT’17 for English into Czech and Latvian, as well as related experiments. This year’s novel- ties consist in the use of a neural machine ... See full document
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Joint WMT 2013 Submission of the QUAERO Project
... translation task of the ACL 2013 Eighth Workshop on Statisti- cal Machine Translation (WMT ...The submission was a system combina- tion of the output of four different transla- tion systems provided ... See full document
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Joint WMT 2012 Submission of the QUAERO Project
... the WMT 2012 machine transla- tion ...ogy, LIMSI-CNRS, and SYSTRAN) of the QUAERO project submitted a joint translation for the WMT German→English ... See full document
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LIMSI Submission for WMT’17 Shared Task on Bandit Learning
... The first Bandit Learning for Machine Translation shared task (Sokolov et al., 2017) aims at adapting a ‘seed’ MT system trained on out-domain corpora to a new domain considering only a ‘weak’ signal, namely a ... See full document
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LIMSI @ WMT’14 Medical Translation Task
... Neural networks, working on top of conventional n-gram back-off language models, have been in- troduced in (Bengio et al., 2003; Schwenk et al., 2006) as a potential means to improve discrete language models. As for our ... See full document
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The UPC Submission to the WMT 2012 Shared Task on Quality Estimation
... All the related models are estimated on a cor- pus of 150K newswire sentences collected from the training/development corpora of previous WMT edi- tions (Callison-Burch et al., 2007; Callison-Burch et al., 2011). ... See full document
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The AMU UEdin Submission to the WMT 2017 Shared Task on Automatic Post Editing
... the submission we performed a number of in-depth experiments to verify our intuitions about the se- lected models for a better controlled data ...the WMT 2016 shared task on APE and test on test set ... See full document
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Why Predicting Post Edition is so Hard? Failure Analysis of LIMSI Submission to the APE Shared Task
... Importance of edits related to change in case We first looked at changes in case: it appears that 1.16% of all edits are solely a change in case. Ta- ble 6 gives some examples of such edits. The high proportion of edits ... See full document
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Coverage and Cynicism: The AFRL Submission to the WMT 2018 Parallel Corpus Filtering Task
... • Words are truncated to 72 characters. The tokenizer attempts to separate German com- pound words, and long words cause it to hang. • Language-specific tokenization is performed, using SYSTRAN’s Linguistic Development ... See full document
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The ILSP/ARC submission to the WMT 2018 Parallel Corpus Filtering Shared Task
... ity scores will be done by subsampling 10m and 100m [EN] word corpora based on these scores, training statistical and neural machine translation systems with these corpora, and evaluating trans- lation quality on blind ... See full document
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Keep It or Not: Word Level Quality Estimation for Post Editing
... In our work we mainly focus on word level quality estimation. The distributional structure of words was first described by (Harris, 1954). (Turian et al., 2010) illustrated representations of words in semi-supervised ... See full document
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Feature Rich Phrase based Translation: Stanford University’s Submission to the WMT 2013 Translation Task
... Tables 2 and 3 show En-Fr and En-De results, re- spectively. The “Feature-rich” model, which con- tains the full complement of dense and sparse fea- tures, offers a meager improvement over the “Dense” baseline. This ... 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
... year’s task, where news transla- tion was presented as a true out-of-domain prob- lem, this year large monolingual news corpora and a tuning set (last year’s test set) were pro- ... See full document
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Token level and sequence level loss smoothing for RNN language models
... We present our results in Table 3. On both benchmarks, we improve on both MLE and RAML approach of Norouzi et al. (2016) (Seq, Hamming, V ): using the smaller batch-vocabulary for replacement improves results, and using ... See full document
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Joint WMT Submission of the QUAERO Project
... System combination is used to produce consensus translations from multiple hypotheses produced with different translation engines that are better in terms of translation quality than any of the individual hy- potheses. ... See full document
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LIG CRIStAL Submission for the WMT 2017 Automatic Post Editing Task
... As shown in table 3, our forced (contrastive 1) sys- tem gets good results on the en-de task, in limited data conditions (12k or 23k). It improves over the MT and SPE baselines, and over the global atten- tion ... See full document
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