[PDF] Top 20 Unbabel’s Participation in the WMT19 Translation Quality Estimation Shared Task
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Unbabel’s Participation in the WMT19 Translation Quality Estimation Shared Task
... We present the contribution of the Unbabel team to the WMT 2019 Shared Task on Qual- ity Estimation. We participated on the word, sentence, and document-level tracks, encom- passing 3 language ... See full document
7
LIMSI Submission for WMT’14 QE Task
... WMT’14 Shared Task on Quality ...word-level quality estimation task (Task 2) for the English to Spanish ...This task consists in predicting, for each word in a ... See full document
7
LORIA System for the WMT13 Quality Estimation Shared Task
... In previous works (Raybaud et al., 2011; Langlois et al., 2012), we tested several confidence mea- sures. As last year (Langlois et al., 2012), we use the same features. We extract information by the way of language ... See full document
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LORIA System for the WMT15 Quality Estimation Shared Task
... more helpful for prediction than LSI based fea- tures. But there is a bias here, because we use only 2 LSI based features. We have now to extend the LSI approach. One first possibility is to use other ways to describe ... See full document
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FBK UPV UEdin participation in the WMT14 Quality Estimation shared task
... mediated Translation Edit Rate (HTER) (Snover et ...machine translation sys- tem and its manually post-edited ...second task requires to predict the time, in milliseconds, that was re- quired to post ... See full document
7
UHH Submission to the WMT17 Quality Estimation Shared Task
... of Quality Estimation (QE) has the goal to provide automatic methods for the evaluation of Machine Translation (MT), that do not require reference transla- tions in their ...WMT17 Quality ... See full document
6
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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LORIA System for the WMT12 Quality Estimation Shared Task
... Each line of Table 1 gives the performance for a set of features. BASELINE+LORIA constitutes the union of both features BASELINE (Section 3) and LORIA (Section 4). the ’feature selection’ column indicates if feature ... See full document
6
Sheffield Submissions for the WMT18 Quality Estimation Shared Task
... Quality Estimation (QE) predicts the quality of Machine Translation (MT) when automatic eval- uation or human assessment is not possible (typi- cally at system ...of quality for ... See full document
7
Findings of the WMT 2018 Shared Task on Quality Estimation
... Multidimensional Quality Metrics (MQM) (Lom- mel et ...(the translation does not accurately reflect the source text), fluency (the translation affects the reading of the text) and style (the ... See full document
21
The University of Edinburgh’s Submissions to the WMT19 News Translation Task
... the WMT19 Shared Task on News Translation in six language directions: English↔Gujarati, English↔Chinese, German→English, and ...all translation direc- tions, we created or used ... See full document
13
DBMS KU Interpolation for WMT19 News Translation Task
... the participation of DBMS-KU Interpolation system in WMT19 shared task, namely, Kazakh-English language ...rect translation with Russian as a pivot lan- ...pivot translation ... See full document
6
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 ... See full document
6
YSDA Participation in the WMT’16 Quality Estimation Shared Task
... WMT2016 Shared Task on Quality Esti- mation (QE) / Task 1: Sentence-level pre- diction of post-editing ...of quality estimation by using a machine learning approach, where we try ... See full document
7
NJU Submissions for the WMT19 Quality Estimation Shared Task
... QE task is not sufficient for training the entire QE model, we need to use large- scale parallel corpus in source-to-target direction and reverse (target-to-source) direction to pre-train two word predictors ... See full document
6
Unbabel’s Participation in the WMT17 Translation Quality Estimation Shared Task
... Figure 1. We used Keras (Chollet, 2015) to im- plement our model. The system receives as in- put the source and target sentences s and t, their word-level alignments A, and their corresponding POS tags obtained ... See full document
6
Proceedings of the Tenth Workshop on Statistical Machine Translation
... five shared tasks: a general translation task, an automatic post-editing task, a quality estimation task, a metrics task, and a tuning ...post-editing task ... See full document
20
FBK UEdin Participation to the WMT13 Quality Estimation Shared Task
... joint participation of Fondazione Bruno Kessler and University of Edinburgh in the WMT 2013 Quality Estimation ...Human-mediated Translation Edit Rate and sentence-level post-editing time ... See full document
7
Black Box Features for the WMT 2012 Quality Estimation Shared Task
... MTranslatability (Bernth and Gdaniec, 2001) gives a notion of the structural complexity of a sentence that relates to the quality of the produced translation. In the literature, several characteristics that ... See full document
5
NICT’s Machine Translation Systems for the WMT19 Similar Language Translation Task
... NICT’s participation in the WMT19 shared Similar Language Trans- lation ...Portuguese task. For both translation direc- tions, we prepared state-of-the-art statistical (SMT) and neural ... See full document
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