[PDF] Top 20 YSDA Participation in the WMT’16 Quality Estimation Shared Task
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YSDA Participation in the WMT’16 Quality Estimation Shared Task
... The WMT’16 QE has included the sentence level ...this task the organizers provide a parallel corpus of English-German sentences ob- tained via some machine translation system, as well as ... See full document
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Unbabel’s Participation in the WMT17 Translation Quality Estimation Shared Task
... We use the pure quality estimation system devel- oped by the Unbabel team and described in Mar- tins et al. (2017), which consists of an ensemble of a linear feature-based classifier with a neural network. ... See full document
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FBK UEdin Participation to the WMT13 Quality Estimation Shared Task
... In the official results released by the organiz- ers our submissions had close performances for Task 1.1. The difference between the SVR and the extremely randomized tree models is very small (around 0.0012 MAE ... See full document
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Unbabel’s Participation in the WMT19 Translation Quality Estimation Shared Task
... Following the recent trend in the NLP commu- nity leveraging large-scale language model pre- training for a diverse set of downstream tasks, we used two pre-trained language models as fea- ture extractors, the ... See full document
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Unbabel’s Participation in the WMT16 Word Level Translation Quality Estimation Shared Task
... neural machine translation (NMT) system (Bah- danau et al., 2014), trained with all data from the WMT 2015 English-to-German translation task (Bojar et al., 2015). The vocabulary size is 100,000 for both ... See full document
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Supervised and Unsupervised Minimalist Quality Estimators: Vicomtech’s Participation in the WMT 2018 Quality Estimation Task
... Vicomtech’s participation in the WMT 2018 shared task on quality estimation, for which we submitted minimalist quality es- ...final quality score is obtained by av- ... See full document
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FBK UPV UEdin participation in the WMT14 Quality Estimation shared task
... We train models on different combinations of fea- ture groups (described in Section 2.1). Experi- ments results are summarized in Table 1. We have results with baseline features for both SVR and the ET models. For ... See full document
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The FBK Participation in the WMT 2016 Automatic Post editing Shared Task
... the shared task were similar with a significant improvement of ...of quality estimation in our primary submission did not yield expected ... See full document
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LIMSI Submission for WMT’14 QE Task
... LIMSI participation to the WMT’14 Shared Task on Qual- ity Estimation; we took part to the word- level quality estimation task for English to Spanish ...of ... See full document
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Keep It or Not: Word Level Quality Estimation for Post Editing
... our participation in the WMT 2018 shared task on word level quality estimation (QE task2) on English–German SMT ...The task of word level QE is treated as a binary clas- ... See full document
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NJU Submissions for the WMT19 Quality Estimation Shared Task
... QE task and these neural ap- proaches have shown promising ...QE task, which does not require manual effort for finding the best relevant ...QE task on English-German language ... See full document
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DCU Symantec Submission for the WMT 2012 Quality Estimation Task
... confidence estimation and for building automatic evaluation ...the quality estimation task with a 4-point scale, namely whether a spanning parse can be found, in addition to LM perplexity and ... See full document
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Meteor++: Incorporating Copy Knowledge into Machine Translation Evaluation
... The WMT datasets totally have 9287 pairs with human scores and after filtering out the lower hu- man score pairs, only about one thousand pairs can be regarded as the paraphrase ... See full document
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LORIA System for the WMT12 Quality Estimation Shared Task
... In this article, we compare the features used in the shared task baseline system and our own features. This leads to 66 features which will be detailed in sections 3 and 4. We therefore deal with many fea- ... See full document
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Sheffield Submissions for the WMT18 Quality Estimation Shared Task
... document-level quality scores for MT of product reviews from the Amazon Product Reviews dataset (He and McAuley, ...this task, a selection of Sports and Outdoors product titles and descrip- tions were ... See full document
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Findings of the WMT 2019 Shared Tasks on Quality Estimation
... We used both new data as well as some exist- ing data from the previous edition of this shared task. For word and sentence level, we reused the English-German dataset from last year, but also added a new ... See full document
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The JHU Machine Translation Systems for WMT 2017
... We build basic NMT systems for this task. We preprocess the data by tokenizing, truecasing, and applying Byte Pair Encoding (Sennrich et al., 2015) with 49990 merge operations. We trained the NMT systems with ... See full document
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MorphoLogic‘s Submission for the WMT 2009 Shared Task
... Inspecting Giza++ alignments revealed that, contrary to our hopes, segmenting the training corpus into morphemes did not in itself solve the word alignment quality problem: the alignments look even worse than ... See full document
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LORIA System for the WMT15 Quality Estimation Shared Task
... ity Estimation because LSI allows to project a s sentence, and a t sentence into the same numeric ...for Quality Estimation is that similarity can model the ’proximity’ between ”dog” and ”bark”, ... See full document
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PROMT Systems for WMT 2018 Shared Translation Task
... We adopt a standard preprocessing scheme using the scripts provided by the Marian toolkit. The data is tokenized using the Moses toolkit (Koehn et al., 2007) tokenizer; after that we apply truecasing and, finally, byte ... See full document
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