[PDF] Top 20 Alibaba Submission for WMT18 Quality Estimation Task
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Alibaba Submission for WMT18 Quality Estimation Task
... translation quality estimation system, QE Brain, for both the sentence-level and word-level tasks in WMT 2018 Quality ...translation quality with a bi- directional LSTM predictive ... See full document
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UGENT LT3 SCATE Submission for WMT16 Shared Task on Quality Estimation
... (MT) Quality Estimation (QE) is the task of providing a quality indicator for unseen automatically translated sentences without relying on reference translations (Gandrabur and Foster, 2003; ... See full document
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DCU Symantec Submission for the WMT 2012 Quality Estimation Task
... We extract source and target features based on a topic model built using LDA. The main idea in topic modelling is to produce a set of thematic word clus- ters from a collection of documents. Using the par- allel corpus ... See full document
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Black Box Features for the WMT 2012 Quality Estimation Shared Task
... our submission to the WMT 2012 quality estimation (QE) shared ...the task is to build a predic- tor that can accurately estimate the quality of fur- ther ... 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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LIMSI Submission for the WMT‘13 Quality Estimation Task: an Experiment with N Gram Posteriors
... To the best of our knowledge, all approaches so far have tackled quality estimation as a super- vised learning problem (He et al., 2010; Soricut and Echihabi, 2010; Specia et al., 2010; Specia, 2011). A ... See full document
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RTM results for Predicting Translation Performance
... Quality estimation task in WMT18 (Specia et ...translation quality is predicted without using reference trans- lations, at the sentence- (Task 1), word- (Task 2), ... See full document
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The University of Helsinki submissions to the WMT18 news task
... els include back-translation and synthetic data, im- proving the BLEU score by around 4 points. The domain labels help when translating into Estonian, while they slightly hurt the performance when trans- lating into ... See full document
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UHH Submission to the WMT17 Metrics Shared Task
... as Quality Estimation, aims at providing automatic methods, for assess- ing the quality of candidate translations, which do not require reference ...the quality of the candidate translation by ... See full document
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LIMSI Submission for WMT’14 QE Task
... Shared Task on Qual- ity Estimation; we took part to the word- level quality estimation task for English to Spanish ...of task, when only a few dense and continuous fea- tures ... See full document
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Sheffield Submissions for WMT18 Multimodal Translation Shared Task
... out of the total 1,071 test instances (See Table 4). These usually result in changing only one or two words and as a result it affects only 180 to 244 words in the entire test set (See Table 4). In other words, only 1.4% ... See full document
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UPF Cobalt Submission to WMT15 Metrics Task
... In our opinion, one of the main reasons why the correlation between automatic evaluation and hu- man rankings is still not satisfactory is that met- rics’ scores are not discriminative enough to ap- proximate human ... See full document
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Alibaba Submission to the WMT18 Parallel Corpus Filtering Task
... the Alibaba Machine Translation Group submissions to the WMT 2018 Shared Task on Parallel Corpus Filter- ...the quality of the par- allel corpus, the three characteristics of the corpus are ... See full document
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PRHLT Submission to the WMT12 Quality Estimation Task
... After establishing the optimal training setup, we now show the official evaluation results for our sub- missions. Table 1 shows the performance of the var- ious participants in the ranking (delta average) and scoring ... See full document
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The MeMAD Submission to the WMT18 Multimodal Translation Task
... this with a language model filter (subs LM ). Both procedures consider each sentence pair, assign it a quality score, and then select the highest scoring 1, 3, or 6 million pairs, discard- ing the rest. The subs H ... 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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UHH Submission to the WMT17 Quality Estimation Shared Task
... An approach for QE based on syntactic tree ker- nels is introduced in (Hardmeier, 2011), where a binary SVM classifier is trained to make pre- dictions about the quality of the MT output. The datasets are ... See full document
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The UU Submission to the Machine Translation Quality Estimation Task
... The dataset for task 1 spans a total of 15,000 English-German translations from the IT domain. Each entry consists of a source segment, its ma- chine translation, a post-edition of the translation and an edit ... See full document
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NICT’s Corpus Filtering Systems for the WMT18 Parallel Corpus Filtering Task
... NMT has shown large gains in quality over Sta- tistical machine translation (SMT) and set several new benchmarks (Bojar et al., 2017). However, NMT is much more sensitive to domain (Wang et al., 2017) and noise ... See full document
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Drem: The AFRL Submission to the WMT15 Tuning Task
... In Drem we define a pseudo-decoder scoring function sdev , changed from the standard decoder score 1 to incorporate a “fear” of including a translation that was produced by decoding a we[r] ... See full document
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