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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 291–300 of 1773 papers

TitleStatusHype
DP-NMT: Scalable Differentially-Private Machine TranslationCode0
Context-aware Neural Machine Translation for English-Japanese Business Scene DialoguesCode0
On Using Distribution-Based Compositionality Assessment to Evaluate Compositional Generalisation in Machine TranslationCode0
On-the-Fly Fusion of Large Language Models and Machine Translation—0
Don't Overlook the Grammatical Gender: Bias Evaluation for Hindi-English Machine TranslationCode0
Memorisation Cartography: Mapping out the Memorisation-Generalisation Continuum in Neural Machine Translation—0
There's no Data Like Better Data: Using QE Metrics for MT Data Filtering—0
Gender Inflected or Bias Inflicted: On Using Grammatical Gender Cues for Bias Evaluation in Machine TranslationCode0
Improving Machine Translation with Large Language Models: A Preliminary Study with Cooperative DecodingCode0
Replicable Benchmarking of Neural Machine Translation (NMT) on Low-Resource Local Languages in IndonesiaCode0
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