[PDF] Top 20 MAJE Submission to the WMT2018 Shared Task on Parallel Corpus Filtering
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MAJE Submission to the WMT2018 Shared Task on Parallel Corpus Filtering
... An important consideration for this task is how to obtain suitable examples to train the classifi- cation model. Positive examples are easy to ob- tain since any clean parallel corpus provide us with ... 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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Measuring sentence parallelism using Mahalanobis distances: The NRC unsupervised submissions to the WMT18 Parallel Corpus Filtering shared task
... WMT18 shared task on parallel corpus fil- tering (Koehn et ...web-scraped parallel cor- pus (Koehn et ...“clean” corpus looks ...target corpus of the language is the only ... See full document
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Findings of the WMT 2019 Shared Task on Parallel Corpus Filtering for Low Resource Conditions
... We received submissions from 11 different orga- nizations. See Table 8 for the complete list of par- ticipants. The participant’s organizations are quite diverse, with 4 participants from the United States, 2 ... 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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The University of Helsinki Submission to the WMT19 Parallel Corpus Filtering Task
... In this paper, we presented our rescoring system for the WMT 2019 Shared Task on Parallel Cor- pus Filtering. Our system is based on contrastive scoring models using features extracted from ... See full document
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An Unsupervised System for Parallel Corpus Filtering
... Munich’s submission for the WMT 2018 Parallel Cor- pus Filtering shared task which addresses the problem of cleaning noisy parallel ...The task of mining and cleaning ... See full document
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Findings of the WMT 2018 Shared Task on Parallel Corpus Filtering
... AFRL afrl-cvg-large 21.9 26.1 18.9 18.3 26.0 20.0 22.1 25.2 29.9 22.2 21.5 29.7 22.6 25.5 AFRL afrl-cvg-mix-meteor 23.4 27.7 20.0 20.6 26.8 21.1 24.0 25.3 29.9 22.3 21.5 29.9 22.7 25.6 AFRL afrl-cvg-mix 22.5 26.5 19.4 ... See full document
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The ILSP/ARC submission to the WMT 2018 Parallel Corpus Filtering Shared Task
... There is a growing literature on using web- acquired data for constructing various types of language resources, including monolingual and parallel corpora. As shown in, among others, Pecina et al. (2014) and ... See full document
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Microsoft’s Submission to the WMT2018 News Translation Task: How I Learned to Stop Worrying and Love the Data
... year’s shared task included a new, large but somewhat noisy parallel resource: ...data filtering scheme would lead to catastrophic loss in quality (compare WMT+back-trans and Paracrawl-32M in ... See full document
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Prompsit’s submission to WMT 2018 Parallel Corpus Filtering shared task
... Concerning our submissions, results show that adding n-gram saturation (prompsit-sat) slightly improves the results in the four datasets, which confirms that vocabulary diversity is rele- vant for this task. We ... See full document
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Webinterpret Submission to the WMT2019 Shared Task on Parallel Corpus Filtering
... consideration. The initial filtering partially allevi- ates this cost by drastically reducing the amount of sentences to rank. However, it is still a slow process that took about one second per iteration with our ... See full document
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AX Semantics’ Submission to the SIGMORPHON 2019 Shared Task
... Arya D. McCarthy, Ekaterina Vylomova, Shijie Wu, Chaitanya Malaviya, Lawrence Wolf-Sonkin, Gar- rett Nicolai, Christo Kirov, Miikka Silfverberg, Se- bastian Mielke, Jeffrey Heinz, Ryan Cotterell, and Mans Hulden. 2019. ... See full document
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UHH Submission to the WMT17 Quality Estimation Shared Task
... The field 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 computation. We present our ... See full document
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LCT MALTA’s Submission to RepEval 2017 Shared Task
... 2017 Shared Task aims to evalu- ate fixed-length vector representations (or embed- dings) of sentences on the basis of a natural lan- guage understanding task, ...classification task at ... See full document
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CogALex V Shared Task: LexNET Integrated Path based and Distributional Method for the Identification of Semantic Relations
... a submission to the CogALex 2016 shared task on the corpus-based identification of semantic relations, using LexNET (Shwartz and Dagan, 2016), an integrated path-based and distributional ... See full document
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UHH Submission to the WMT17 Metrics Shared Task
... The evaluation of Machine Translation (MT) rep- resents a very important domain of research, as providing meaningful, automatic and accurate methods for determining the quality of machine- translated output is a key ... See full document
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TweetMT : a parallel microblog corpus
... as parallel sentences are often very close to each other, because both vocabulary and word order are ...for filtering out wrong candidates, but it is not enough to find the correct parallel tweet, so ... See full document
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UTFPR at WMT 2018: Minimalistic Supervised Corpora Filtering for Machine Translation
... In this contribution, we presented the UTFPR sys- tems submitted to the WMT 2018 parallel corpus filtering task. Our supervised systems discern be- tween good and bad translations using ... See full document
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Data Cleaning for Word Alignment
... Based on these propositions, we could assume that if we measure the literalness score under a word-based MT M W B we will be able to deter- mine the degree of outlier-ness whatever the mea- sure we use for it. Hence, ... See full document
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