[PDF] Top 20 Coverage and Cynicism: The AFRL Submission to the WMT 2018 Parallel Corpus Filtering Task
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Coverage and Cynicism: The AFRL Submission to the WMT 2018 Parallel Corpus Filtering Task
... The filtering that includes a translation score, cvg-mix-meteor, is our top submission by mean BLEU score for all four MT ...the coverage and cynical mea- sures produce very similar results for SMT, ... See full document
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The ILSP/ARC submission to the WMT 2018 Parallel Corpus Filtering Shared Task
... By comparing the results of the two alternative ranking schemes, we conclude that their perfor- mances are similar for the 100M corpora. This is explained by the fact that their intersection is ex- tremely high: 5.2M ... See full document
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The University of Helsinki Submission to the WMT19 Parallel Corpus Filtering Task
... the corpus filtering task organizers de- cided to pose the problem under more challeng- ing conditions by focusing on low-resource sce- narios, as opposed to previous year German– English (Koehn et ... See full document
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MAJE Submission to the WMT2018 Shared Task on Parallel Corpus Filtering
... shared task have to submit a file with quality scores, one per line, corresponding to the sentence pairs on the 1 billion word German- English Paracrawl ...al., 2018) MT systems with these corpora, and ... See full document
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Alibaba Submission to the WMT18 Parallel Corpus Filtering Task
... The parallel corpus is an essential resource for machine translation and multilingual natural lan- guage ...of parallel corpus is also very important in MT system training (Koehn and Knowles, ... See full document
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Tilde’s Parallel Corpus Filtering Methods for WMT 2018
... describes parallel corpus filtering methods that allow reducing noise of noisy “parallel” corpora from a level where the cor- pora are not usable for neural machine trans- lation training ... See full document
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STACC, OOV Density and N gram Saturation: Vicomtech’s Participation in the WMT 2018 Shared Task on Parallel Corpus Filtering
... Our goal in experimenting with n-gram satu- ration was mainly to include a low complexity method that could account for data redundancy in a simple way. The scope of the experiments was also reduced to only cover n-grams ... See full document
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Webinterpret Submission to the WMT2019 Shared Task on Parallel Corpus Filtering
... Sparse data problems are ubiquitous in MT (Zipf, 1935). In a learning scenario, this means that some rare events will be missing completely from a training set, even when it is very large. Miss- ing events result in a ... See full document
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The RWTH Aachen University Filtering System for the WMT 2018 Parallel Corpus Filtering Task
... of parallel sentences by applying basic rule- based heuristics each of whom can reject a sen- tence as described in Section ...final submission consists of three differ- ent systems on top of rule-based ... See full document
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Prompsit’s submission to WMT 2018 Parallel Corpus Filtering shared task
... the WMT 2018 paral- lel corpus filtering shared ...crafted filtering rules and an automatic classifier that selects those sentences that are mutual trans- ... See full document
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JU Saarland Submission to the WMT2019 English–Gujarati Translation Shared Task
... specific parallel corpus having English side as BPE and Gujarati side as word level for- ...English–Gujarati task in our primary sys- tem submission were also tested for the reverse di- ... See full document
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SYSTRAN Participation to the WMT2018 Shared Task on Parallel Corpus Filtering
... the task addresses the challenge of data quality and not domain- relatedness of the data for a particular use ...the corpus for relevance to the news do- main despite being one of the evaluation test ...raw ... See full document
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MorphoLogic‘s Submission for the WMT 2009 Shared Task
... training corpus into morphemes did not in itself solve the word alignment quality problem: the alignments look even worse than those achieved on the plain text version of the ... See full document
5
LIMSI Submission for WMT’14 QE Task
... The features and learning strategies described in the two previous sections were evaluated on the English to Spanish datasets. As no official devel- opment set was provided by the shared task orga- nizers, we ... See full document
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The AFRL WMT17 Neural Machine Translation Training Task Submission
... Training Task aims to test various methods of training neural machine translation sys- ...the AFRL submission, including preprocessing and its knowledge distillation ... See full document
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NICT’s Corpus Filtering Systems for the WMT18 Parallel Corpus Filtering Task
... al., 2018) provides a very noisy 1 bil- lion words (English word count) German-English (De-En) corpus crawled from the web as a part of the Paracrawl ... See full document
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The UPC Submission to the WMT 2012 Shared Task on Quality Estimation
... Our submission to the final evaluation (Official) was plagued by a bug that affected the values of all the baseline features on the test ...ranking task and last-but-one on the quality prediction ... See full document
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Johns Hopkins University Submission for WMT News Translation Task
... Facebook’s submission were trained on a single GPU, which makes it difficult to match results achieved on a large number of ...(FAIR) submission last ... See full document
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PROMT Systems for WMT 2018 Shared Translation Task
... We mentioned earlier that OpenNMT does not support the transformer model architecture. Due to this fact we train a model with a deep bidirectional encoder and a decoder with attention (Luong et al., 2015). Both encoder ... 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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