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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 1441–1450 of 1773 papers

TitleStatusHype
On Optimal Transformer Depth for Low-Resource Language TranslationCode0
Revisiting NMT for Normalization of Early English LettersCode0
Syllable-Based Sequence-to-Sequence Speech Recognition with the Transformer in Mandarin ChineseCode0
Fine-grained Human Evaluation of Transformer and Recurrent Approaches to Neural Machine Translation for English-to-ChineseCode0
On Synthetic Data for Back TranslationCode0
Fine-Tuning MT systems for Robustness to Second-Language Speaker VariationsCode0
Synchronous Bidirectional Neural Machine TranslationCode0
First the worst: Finding better gender translations during beam searchCode0
Context-aware Neural Machine Translation for English-Japanese Business Scene DialoguesCode0
On the Complementarity between Pre-Training and Random-Initialization for Resource-Rich Machine TranslationCode0
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