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NMT

Neural machine translation is an approach to machine translation that uses an artificial neural network to predict the likelihood of a sequence of words, typically modeling entire sentences in a single integrated model.

Papers

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Showing 1101–1110 of 1773 papers

TitleStatusHype
Is LLM the Silver Bullet to Low-Resource Languages Machine Translation?—0
Is MAP Decoding All You Need? The Inadequacy of the Mode in Neural Machine Translation—0
Isometric Neural Machine Translation using Phoneme Count Ratio Reward-based Reinforcement Learning—0
Iterative Batch Back-Translation for Neural Machine Translation: A Conceptual Model—0
Iterative Domain-Repaired Back-Translation—0
Iterative Dual Domain Adaptation for Neural Machine Translation—0
A Hybrid Approach for Improved Low Resource Neural Machine Translation using Monolingual Data—0
Jam or Cream First? Modeling Ambiguity in Neural Machine Translation with SCONES—0
Japanese Predicate Conjugation for Neural Machine Translation—0
Japanese-Russian TMU Neural Machine Translation System using Multilingual Model for WAT 2019—0
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