[PDF] Top 20 LORIA System for the WMT12 Quality Estimation Shared Task
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LORIA System for the WMT12 Quality Estimation Shared Task
... the LORIA+BASELINE set, with linear kernel. The algorithm discards 18 LORIA features out of 49 (37%) and 3 BASELINE out of 17 ...from LORIA are mostly averaged features based on n-gram and back- ... See full document
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FBK UEdin Participation to the WMT13 Quality Estimation Shared Task
... In this paper we present the approach and system setup of the joint participation of Fondazione Bruno Kessler and University of Edinburgh in the WMT 2013 Quality Estimation shared-task. ... See full document
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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
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Black Box Features for the WMT 2012 Quality Estimation Shared Task
... In this work we focus on the first three categories and ignore the particular system that produced the translations. Such features are commonly referred to as black box features. While some glass box fea- tures, ... See full document
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FBK UPV UEdin participation in the WMT14 Quality Estimation shared task
... predicting the Human mediated Translation Edit Rate (HTER) (Snover et al., 2006) between a sug- gestion generated by a machine translation sys- tem and its manually post-edited version. The data set contains 1,104 ... See full document
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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
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UGENT LT3 SCATE Submission for WMT16 Shared Task on Quality Estimation
... the shared task, we worked with a small au- tomatically extracted term list, but we assume that either a manually verified term list or a (larger) client-specific term list will further improve QE ... See full document
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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
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DCU Symantec at the WMT 2013 Quality Estimation Shared Task
... 3.2 Feature Selection on Feature Types In order to reduce the feature and obtain more compact models, we apply feature selection on each of our 15 feature types. Examples of feature types are language model features or ... See full document
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The UPC Submission to the WMT 2012 Shared Task on Quality Estimation
... translation quality (baseline features) that participants could de- cide to employ for their ...human quality assessment for each trans- lation (using Mean Average Error - MAE and Root Mean Squared Error - ... See full document
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Unbabel’s Participation in the WMT17 Translation Quality Estimation Shared Task
... the shared task organizers, along with the original data from the shared task (oversam- pled 20 times, as in Junczys-Dowmunt and Grund- kiewicz ...translation system, trained from a ... See full document
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Unbabel’s Participation in the WMT19 Translation Quality Estimation Shared Task
... bled system with Powell’s method, by com- bining one instance of the APE-BERT sys- tem, another instance of the P SEUDO -APE- QE system, 10 runs of the P RED E ST -XLM model (trained jointly for all ... See full document
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LIMSI Submission for WMT’14 QE Task
... WMT’14 Shared Task on Qual- ity Estimation; we took part to the word- level quality estimation task for English to Spanish ...Our system re- lies on a random forest ... See full document
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LORIA System for the WMT13 Quality Estimation Shared Task
... QE shared task organizers provided a base- line system including the same features as last year: source and target sentences lengths; aver- age source word length; source and target likeli- hood ... See full document
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PRHLT Submission to the WMT12 Quality Estimation Task
... Figure 1 shows the results obtained for the ex- periments that optimized delta average, and MAE (result optimizing Spearman and RMSE were quite similar). We also display the performance of a sys- tem trained on the ... See full document
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The SDL Language Weaver Systems in the WMT12 Quality Estimation Shared Task
... the system sub- missions of the SDL Language Weaver team in the WMT 2012 Quality Estimation ...MT quality-prediction sys- tems use machine learning techniques (M5P regression-tree and ... See full document
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LORIA System for the WMT15 Quality Estimation Shared Task
... our system for WMT2015 Shared Task on Quality Estimation, task 1, sentence-level prediction of post-edition ...best system leads to a perfor- mance in terms of Mean ... See full document
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Proceedings of the Seventh Workshop on Statistical Machine Translation
... three shared tasks: a translation task, a quality estimation task, and a task to test automatic evaluation ...the shared tasks were announced at the workshop, and these ... See full document
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Findings of the WMT 2018 Shared Task on Quality Estimation
... JU-USAAR presents two approaches to word-level QE: (i) a Bag-of-Words (BoW) model, and (ii) a Paragraph Vector (Doc2Vec) model (Le and Mikolov, 2014). In the BoW model, bag-of-words are prepared from source sentences for ... See full document
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NJU Submissions for the WMT19 Quality Estimation Shared Task
... Sentence-level Quality Estimation (QE) of Ma- chine Translation (MT) is a task to predict the quality scores for unseen machine translation out- puts at run-time, without relying on reference ... See full document
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