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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 251–275 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
Pointer-Generator Networks for Low-Resource Machine Translation: Don't Copy That!Code0
To Label or Not to Label: Hybrid Active Learning for Neural Machine Translation—0
BiVert: Bidirectional Vocabulary Evaluation using Relations for Machine Translation—0
General2Specialized LLMs Translation for E-commerce—0
Human Evaluation of English--Irish Transformer-Based NMT—0
Leveraging Diverse Modeling Contexts with Collaborating Learning for Neural Machine Translation—0
DeMPT: Decoding-enhanced Multi-phase Prompt Tuning for Making LLMs Be Better Context-aware TranslatorsCode0
GATE X-E : A Challenge Set for Gender-Fair Translations from Weakly-Gendered Languages—0
Asynchronous and Segmented Bidirectional Encoding for NMT—0
Quality Does Matter: A Detailed Look at the Quality and Utility of Web-Mined Parallel CorporaCode0
Large Language Models "Ad Referendum": How Good Are They at Machine Translation in the Legal Domain?—0
Promoting Target Data in Context-aware Neural Machine Translation—0
Neural Machine Translation for Malayalam Paraphrase Generation—0
Salute the Classic: Revisiting Challenges of Machine Translation in the Age of Large Language ModelsCode0
Only Send What You Need: Learning to Communicate Efficiently in Federated Multilingual Machine Translation—0
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