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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 481–490 of 1773 papers

TitleStatusHype
EdinSaar@WMT21: North-Germanic Low-Resource Multilingual NMT—0
EduMT: Developing Machine Translation System for Educational Content in Indian Languages—0
Improving Neural Machine Translation with Pre-trained Representation—0
English-to-Japanese Diverse Translation by Combining Forward and Backward Outputs—0
Convergences and Divergences between Automatic Assessment and Human Evaluation: Insights from Comparing ChatGPT-Generated Translation and Neural Machine Translation—0
Effectively pretraining a speech translation decoder with Machine Translation data—0
Effective Parallel Corpus Mining using Bilingual Sentence Embeddings—0
Effective Use of Target-side Context for Neural Machine Translation—0
Efficient Bilingual Generalization from Neural Transduction Grammar Induction—0
Ensemble Learning for Multi-Source Neural Machine Translation—0
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