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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

Showing 111120 of 1773 papers

TitleStatusHype
A Novel Graph-based Multi-modal Fusion Encoder for Neural Machine TranslationCode1
Sequence Generation with Mixed RepresentationsCode1
Language-agnostic BERT Sentence EmbeddingCode1
HausaMT v1.0: Towards English--Hausa Neural Machine TranslationCode1
FFR v1.1: Fon-French Neural Machine TranslationCode1
Norm-Based Curriculum Learning for Neural Machine TranslationCode1
Does Multi-Encoder Help? A Case Study on Context-Aware Neural Machine TranslationCode1
On Exposure Bias, Hallucination and Domain Shift in Neural Machine TranslationCode1
JASS: Japanese-specific Sequence to Sequence Pre-training for Neural Machine TranslationCode1
It's Easier to Translate out of English than into it: Measuring Neural Translation Difficulty by Cross-Mutual InformationCode1
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