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chrF++: words helping character n-grams
Maja Popović
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Paper Details:
Month: September
Year: 2017
Location: Copenhagen, Denmark
Venue:
WMT |
WS |
SIG: SIGMT
Citations
URL
Metric for Automatic Machine Translation Evaluation based on Universal Sentence Representations
Hiroki Shimanaka
|
Tomoyuki Kajiwara
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Mamoru Komachi
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Graph-to-Sequence Learning using Gated Graph Neural Networks
Daniel Beck
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Gholamreza Haffari
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Trevor Cohn
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Results of the WMT17 Metrics Shared Task
Ondřej Bojar
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Yvette Graham
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Amir Kamran
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A Smorgasbord of Features to Combine Phrase-Based and Neural Machine Translation
Benjamin Marie
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Atsushi Fujita
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NICT’s Neural and Statistical Machine Translation Systems for the WMT18 News Translation Task
Benjamin Marie
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Rui Wang
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Atsushi Fujita
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Masao Utiyama
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Eiichiro Sumita
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Results of the WMT18 Metrics Shared Task: Both characters and embeddings achieve good performance
Qingsong Ma
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Ondřej Bojar
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Yvette Graham
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RUSE: Regressor Using Sentence Embeddings for Automatic Machine Translation Evaluation
Hiroki Shimanaka
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Tomoyuki Kajiwara
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Mamoru Komachi
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https://github.com/m-popovic/chrF
Field Of Study
Task
Machine Translation
Language
Chinese
English
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