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Results of the WMT18 Metrics Shared Task: Both characters and embeddings achieve good performance
Qingsong Ma
|
Ondřej Bojar
|
Yvette Graham
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Paper Details:
Month: October
Year: 2018
Location: Belgium, Brussels
Venue:
EMNLP |
WMT |
WS |
SIG: SIGMT
Citations
URL
Findings of the 2018 Conference on Machine Translation (WMT18)
Ondřej Bojar
|
Christian Federmann
|
Mark Fishel
|
Yvette Graham
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Barry Haddow
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Philipp Koehn
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Christof Monz
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https://doi.org/10.18653/v1/W18-64077
http://www.statmt.org/wmt18/metrics-task
https://www.mturk.com
https://github.com/stanojevic/beer
https://github.com/qingsongma/blend
https://github.com/rwth-i6/CharacTER
https://github.com/Shi-ma/RUSE
http://chikiu-jackie-lo.org/home/index.php/yisi
http://github.com/moses-smt/mosesdecoder
https://github.com/m-popovic/chrF
http://www.itl.nist.gov/iad/mig/tools/
http://hdl.handle.net/11346/WMT17-TVXH
Field Of Study
Linguistic Trends
Embeddings
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Machine Translation
Word Segmentation
Language
Chinese
English
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News
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