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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 276–300 of 1773 papers

TitleStatusHype
An approach for mistranslation removal from popular dataset for Indic MT Task—0
Machine Translation Models are Zero-Shot Detectors of Translation DirectionCode0
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
Towards Boosting Many-to-Many Multilingual Machine Translation with Large Language ModelsCode0
Convergences and Divergences between Automatic Assessment and Human Evaluation: Insights from Comparing ChatGPT-Generated Translation and Neural Machine Translation—0
Predicting Human Translation Difficulty with Neural Machine Translation—0
An Empirical study of Unsupervised Neural Machine Translation: analyzing NMT output, model's behavior and sentences' contribution—0
Distinguishing Translations by Human, NMT, and ChatGPT: A Linguistic and Statistical Approach—0
Unraveling Key Factors of Knowledge Distillation—0
Order Matters in the Presence of Dataset Imbalance for Multilingual Learning—0
Improving Neural Machine Translation by Multi-Knowledge Integration with Prompting—0
Simul-LLM: A Framework for Exploring High-Quality Simultaneous Translation with Large Language Models—0
Relevance-guided Neural Machine Translation—0
Reducing Gender Bias in Machine Translation through Counterfactual Data Generation—0
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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