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Zipporah: a Fast and Scalable Data Cleaning System for Noisy Web-Crawled Parallel Corpora
Hainan Xu
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Philipp Koehn
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Paper Details:
Month: September
Year: 2017
Location: Copenhagen, Denmark
Venue:
EMNLP |
Citations
URL
On the Impact of Various Types of Noise on Neural Machine Translation
Huda Khayrallah
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Philipp Koehn
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Scaling Neural Machine Translation
Myle Ott
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Sergey Edunov
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David Grangier
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Michael Auli
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Effective Parallel Corpus Mining using Bilingual Sentence Embeddings
Mandy Guo
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Qinlan Shen
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Yinfei Yang
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Heming Ge
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Daniel Cer
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Gustavo Hernandez Abrego
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Keith Stevens
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Noah Constant
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Yun-Hsuan Sung
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Brian Strope
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Ray Kurzweil
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Findings of the WMT 2018 Shared Task on Parallel Corpus Filtering
Philipp Koehn
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Huda Khayrallah
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Kenneth Heafield
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Mikel L. Forcada
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STACC, OOV Density and N-gram Saturation: Vicomtech’s Participation in the WMT 2018 Shared Task on Parallel Corpus Filtering
Andoni Azpeitia
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Thierry Etchegoyhen
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Eva Martínez Garcia
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MAJE Submission to the WMT2018 Shared Task on Parallel Corpus Filtering
Marina Fomicheva
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Jesús González-Rubio
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An Unsupervised System for Parallel Corpus Filtering
Viktor Hangya
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Alexander Fraser
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The JHU Parallel Corpus Filtering Systems for WMT 2018
Huda Khayrallah
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Hainan Xu
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Philipp Koehn
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The ILSP/ARC submission to the WMT 2018 Parallel Corpus Filtering Shared Task
Vassilis Papavassiliou
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Sokratis Sofianopoulos
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Prokopis Prokopidis
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Stelios Piperidis
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Tilde’s Parallel Corpus Filtering Methods for WMT 2018
Mārcis Pinnis
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NICT’s Corpus Filtering Systems for the WMT18 Parallel Corpus Filtering Task
Rui Wang
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Benjamin Marie
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Masao Utiyama
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Eiichiro Sumita
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https://github.com/hainan-xv/zipporah
http://statmt.org/
Field Of Study
Task
Machine Translation
Language
English
French
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