[PDF] Top 20 The Speechmatics Parallel Corpus Filtering System for WMT18
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The Speechmatics Parallel Corpus Filtering System for WMT18
... the parallel corpus filtering task uses a two-step ...effective corpus size down from the initial 1 billion to 160 million ...further filtering down to 100 or 10 million tokens. Our ... See full document
7
Noisy Parallel Corpus Filtering through Projected Word Embeddings
... allel corpus filtering shared task is to select the 5 million words of parallel sentences producing the highest-quality machine translation system, given a set of automatically crawled ... See full document
5
Findings of the WMT 2018 Shared Task on Parallel Corpus Filtering
... -yisi-bicov 23.9 28.7 21.3 19.7 26.4 22.1 25.2 26.4 31.4 22.8 22.4 31.1 23.8 26.9 NRC nrc-yisi 23.5 28.0 21.1 19.3 26.0 21.8 25.0 26.4 31.0 23.2 22.5 30.8 23.9 26.8 Prompsit prompsit-al 22.8 26.0 19.9 19.1 27.0 20.1 24.3 ... 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
6
MAJE Submission to the WMT2018 Shared Task on Parallel Corpus Filtering
... We have presented our submission to the WMT18 shared task on parallel corpus filtering. We frame the task as a QE problem, where we estimate how well two sentences correspond to each other to ... See full document
5
Compiling and Filtering ParIce: An English Icelandic Parallel Corpus
... systems, parallel data quality is im- portant and may weaken performance if inade- quate, especially for NMT (see ...good parallel corpora is thus to assess how accurate the alignments ... 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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Prompsit’s submission to WMT 2018 Parallel Corpus Filtering shared task
... tems were built with Moses and tuned with Batch MIRA (Cherry and Foster, 2012). A 5-gram lan- guage model was estimated from the TL side of the training corpus. NMT systems followed the Transformer architecture ... See full document
8
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
6
Learning Bilingual Sentence Embeddings via Autoencoding and Computing Similarities with a Multilayer Perceptron
... lel corpus filtering task (Koehn et ...web-crawled corpus of 104M parallel lines (ParaCrawl ...raw corpus with the heuristics of Rossen- bach et ...ranked system in the official ... See full document
11
Improving Low Resource Neural Machine Translation with Filtered Pseudo Parallel Corpus
... Data filtering is often used in domain adap- tation (Moore and Lewis, 2010; Axelrod et ...high-quality parallel sentence pairs and achieve better translation performance and reduce time- complexity with a ... See full document
9
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 classic bi- ... See full document
5
Findings of the WMT 2019 Shared Task on Parallel Corpus Filtering for Low Resource Conditions
... translation system quality is computationally intractable due to the high cost of training these systems to eval- uate different weight ...high-quality parallel corpora, while low-quality sentence pairs are ... See full document
19
Parallel Corpus Filtering Based on Fuzzy String Matching
... Then using the SMT systems as described in Section 4, we translate the Nepali (or Sinhala) sentences from partially filtered parallel corpora into English, and apply fuzzy string matching to score each pair of ... See full document
5
Coverage and Cynicism: The AFRL Submission to the WMT 2018 Parallel Corpus Filtering Task
... 2018 Parallel Corpus Filtering Task aims to test various methods of filtering a noisy parallel corpus, to make it useful for train- ing machine translation ... See full document
5
Building a Web Based Parallel Corpus and Filtering Out Machine Translated Text
... quality corpus of parallel sentences appropriate for training a statistical machine translation ...our corpus by training a phrase-based translation system (Koehn et ...the system ... See full document
9
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 and heuristic ... See full document
7
An Unsupervised System for Parallel Corpus Filtering
... 2018 Parallel Cor- pus Filtering shared task which addresses the problem of cleaning noisy parallel ...cleaning parallel sen- tences is important for improving the quality of machine ... See full document
6
NICT’s Corpus Filtering Systems for the WMT18 Parallel Corpus Filtering Task
... noisy parallel data. We adopt the clean data of WMT18 News Translation Task to train a classifier and compute informative ...noisy corpus are scored by this classi- ... See full document
5
NRC Parallel Corpus Filtering System for WMT 2019
... (good) parallel sentences from bad ...and parallel text during the unsuper- vised pre-training phase, therefore allowing us to profit from the greater availability of monolingual ... See full document
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