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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 391–400 of 1773 papers

TitleStatusHype
NVIDIA NeMo Offline Speech Translation Systems for IWSLT 2022—0
Prompt-Driven Neural Machine TranslationCode1
Locality-Sensitive Hashing for Long Context Neural Machine Translation—0
What Works and Doesn’t Work, A Deep Decoder for Neural Machine Translation—0
Nearest Neighbor Knowledge Distillation for Neural Machine TranslationCode1
NMTScore: A Multilingual Analysis of Translation-based Text Similarity MeasuresCode1
When do Contrastive Word Alignments Improve Many-to-many Neural Machine Translation?—0
Flow-Adapter Architecture for Unsupervised Machine Translation—0
DaLC: Domain Adaptation Learning Curve Prediction for Neural Machine Translation—0
A Survey on Non-Autoregressive Generation for Neural Machine Translation and BeyondCode1
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