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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 101–125 of 1773 papers

TitleStatusHype
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
General2Specialized LLMs Translation for E-commerce—0
BiVert: Bidirectional Vocabulary Evaluation using Relations for Machine Translation—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
An approach for mistranslation removal from popular dataset for Indic MT Task—0
Machine Translation Models are Zero-Shot Detectors of Translation DirectionCode0
Towards Boosting Many-to-Many Multilingual Machine Translation with Large Language ModelsCode0
POMP: Probability-driven Meta-graph Prompter for LLMs in Low-resource Unsupervised Neural Machine Translation—0
End to end Hindi to English speech conversion using Bark, mBART and a finetuned XLSR Wav2Vec2—0
Convergences and Divergences between Automatic Assessment and Human Evaluation: Insights from Comparing ChatGPT-Generated Translation and Neural Machine Translation—0
An Empirical study of Unsupervised Neural Machine Translation: analyzing NMT output, model's behavior and sentences' contribution—0
Predicting Human Translation Difficulty with Neural Machine Translation—0
Distinguishing Translations by Human, NMT, and ChatGPT: A Linguistic and Statistical Approach—0
Unraveling Key Factors of Knowledge Distillation—0
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