[PDF] Top 20 NRC Parallel Corpus Filtering System for WMT 2019
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NRC Parallel Corpus Filtering System for WMT 2019
... In this paper, we presented the NRC’s submissions to the WMT19 parallel corpus filtering task. Offi- cial results indicate our best systems were ranked 3rd or 4th out of over 20 submissions in most ... 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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STACC, OOV Density and N gram Saturation: Vicomtech’s Participation in the WMT 2018 Shared Task on Parallel Corpus Filtering
... from parallel corpora has been tackled by various researchers over the ...of corpus creation from web data, to filter dubious sen- tence ...tered corpus. In (Cui et al., 2013), the approach to data ... See full document
7
NRC Machine Translation System for WMT 2017
... Chinese-English parallel corpora available for the constrained news translation ...UN corpus, the NewsCommen- tary v12 corpus and the CWMT ...million parallel Chinese-English sentences were ... See full document
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Webinterpret Submission to the WMT2019 Shared Task on Parallel Corpus Filtering
... The filtering rules we implemented for our sub- mission are not language specific, and moreover, they only place very mild assumption on what con- stitutes a ”good” sentence ...translation system is most ... See full document
6
Compiling and Filtering ParIce: An English Icelandic Parallel Corpus
... first parallel corpus focusing only on the English-Icelandic lan- guage ...lingual parallel corpora including Icelandic texts and those that exist vary in ...a corpus large enough and of good ... See full document
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Accurate semantic textual similarity for cleaning noisy parallel corpora using semantic machine translation evaluation metric: The NRC supervised submissions to the Parallel Corpus Filtering task
... SMT system using Portage (Larkin et ...SMT system uses IBM4 word alignments (Brown et ...The system has two n-gram language models: a 5-gram mixture lan- guage model (LM) trained on the four corpora ... See full document
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SYSTRAN Participation to the WMT2018 Shared Task on Parallel Corpus Filtering
... the sentence pairs on the 1 billion word German- English Paracrawl corpus. Scores do not have to be meaningful, except that higher scores indicate better quality. The performance of the submis- sions is evaluated ... See full document
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NICT’s Corpus Filtering Systems for the WMT18 Parallel Corpus Filtering Task
... (Koehn et 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 project. Participants are asked to provide a quality ... 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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MAJE Submission to the WMT2018 Shared Task on Parallel Corpus Filtering
... Participants in the 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 corpus. Scores do not have to be ... See full document
5
Learning Bilingual Sentence Embeddings via Autoencoding and Computing Similarities with a Multilayer Perceptron
... the WMT 2018 paral- lel corpus filtering task (Koehn et ...web-crawled corpus of 104M parallel lines (ParaCrawl ...raw corpus with the heuristics of Rossen- bach et ...for ... See full document
11
JU Saarland Submission to the WMT2019 English–Gujarati Translation Shared Task
... preprocessed parallel cor- pus. Moreover, after adding preprocessed paral- lel corpus, the BLEU score dropped ...preprocessed parallel corpus for our final ... See full document
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The Speechmatics Parallel Corpus Filtering System for WMT18
... Character filtering: we expect there to be unwanted characters in a noisy corpus – for example Denkowski et. al. (2012) filter out all lines with invalid Unicode, control characters and similar. We approach ... 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
... on parallel corpus fil- tering (Koehn et ...web-scraped parallel cor- pus (Koehn et ...past WMT data) as a supervisory signal to learn what a “clean” corpus looks ...target ... See full document
8
NRC Russian English Machine Translation System for WMT 2016
... The decoder was used to translate the lowercased, rescored output to mixed case using a target side LM and a truecase map. The 3-gram truecasing LM was trained on the target side of all the WMT parallel ... See full document
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The University of Helsinki Submission to the WMT19 Parallel Corpus Filtering Task
... rescoring system for the WMT 2019 Shared Task on Parallel Cor- pus ...Our system is based on contrastive scoring models using features extracted from dif- ferent kinds of data-driven ... See full document
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Coverage and Cynicism: The AFRL Submission to the WMT 2018 Parallel Corpus Filtering Task
... Optimizing the heuristic and empirical prefilter- ing and preprocessing steps given here could yield substantial benefit. We have doubtlessly removed some beneficial lines in the prefiltering, which ex- cluded up to 90% ... See full document
5
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
... sentences that consist of five tokens, compared to just 2673 sentences of 80 tokens in the Max Filtered+ dataset (which was used to acquire the rescored dataset). This means that the rescoring method was forced to select ... See full document
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