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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 971–980 of 1773 papers

TitleStatusHype
Neural Simultaneous Speech Translation Using Alignment-Based Chunking—0
Variational Neural Machine Translation with Normalizing Flows—0
The Unreasonable Volatility of Neural Machine Translation ModelsCode0
Character-level Transformer-based Neural Machine Translation—0
Is MAP Decoding All You Need? The Inadequacy of the Mode in Neural Machine Translation—0
Encodings of Source Syntax: Similarities in NMT Representations Across Target Languages—0
DiscreTalk: Text-to-Speech as a Machine Translation Problem—0
Leveraging Monolingual Data with Self-Supervision for Multilingual Neural Machine Translation—0
Neural Machine Translation for South Africa's Official Languages—0
Does Multi-Encoder Help? A Case Study on Context-Aware Neural Machine TranslationCode1
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