Search Results for author: Mikio Yamamoto

Found 8 papers, 0 papers with code

Patent NMT integrated with Large Vocabulary Phrase Translation by SMT at WAT 2017

no code implementations • WS 2017 • Zi Long, Ryuichiro Kimura, Takehito Utsuro, Tomoharu Mitsuhashi, Mikio Yamamoto

Long et al.(2017) proposed to select phrases that contain out-of-vocabulary words using the statistical approach of branching entropy.

Machine Translation NMT +2

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Neural Machine Translation Model with a Large Vocabulary Selected by Branching Entropy

no code implementations • MTSummit 2017 • Zi Long, Ryuichiro Kimura, Takehito Utsuro, Tomoharu Mitsuhashi, Mikio Yamamoto

Neural machine translation (NMT), a new approach to machine translation, has achieved promising results comparable to those of traditional approaches such as statistical machine translation (SMT).

Machine Translation NMT +2

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Translation of Patent Sentences with a Large Vocabulary of Technical Terms Using Neural Machine Translation

no code implementations • WS 2016 • Zi Long, Takehito Utsuro, Tomoharu Mitsuhashi, Mikio Yamamoto

We train an NMT system on bilingual data wherein technical terms are replaced with technical term tokens; this allows it to translate most of the source sentences except technical terms.

Machine Translation NMT +1