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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 261–270 of 1773 papers

TitleStatusHype
Reducing Hallucinations in Neural Machine Translation with Feature Attribution—0
Easy Guided Decoding in Providing Suggestions for Interactive Machine TranslationCode0
HilMeMe: A Human-in-the-Loop Machine Translation Evaluation Metric Looking into Multi-Word Expressions—0
What Knowledge Is Needed? Towards Explainable Memory for kNN-MT Domain AdaptationCode1
Parallel Attention Forcing for Machine Translation—0
Finding Memo: Extractive Memorization in Constrained Sequence Generation TasksCode0
Analyzing the Use of Influence Functions for Instance-Specific Data Filtering in Neural Machine Translation—0
Specializing Multi-domain NMT via Penalizing Low Mutual Information—0
SIT at MixMT 2022: Fluent Translation Built on Giant Pre-trained Models—0
A Semi-supervised Approach for a Better Translation of Sentiment in Dialectical Arabic UGT—0
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