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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 91–100 of 1773 papers

TitleStatusHype
Usefulness of Emotional Prosody in Neural Machine Translation—0
From LLM to NMT: Advancing Low-Resource Machine Translation with Claude—0
F-MALLOC: Feed-forward Memory Allocation for Continual Learning in Neural Machine TranslationCode0
Unlocking Parameter-Efficient Fine-Tuning for Low-Resource Language Translation—0
Low-resource neural machine translation with morphological modelingCode0
Advancing AI with Integrity: Ethical Challenges and Solutions in Neural Machine Translation—0
A Tulu Resource for Machine TranslationCode0
The Comparison of Translationese in Machine Translation and Human Transation in terms of Translation Relations—0
Isometric Neural Machine Translation using Phoneme Count Ratio Reward-based Reinforcement Learning—0
CantonMT: Cantonese to English NMT Platform with Fine-Tuned Models Using Synthetic Back-Translation DataCode0
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