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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 1426–1450 of 1773 papers

TitleStatusHype
Boosting Neural Machine Translation—0
Boosting Neural Machine Translation from Finnish to Northern Sámi with Rule-Based Backtranslation—0
Deps-SAN: Neural Machine Translation with Dependency-Scaled Self-Attention Network—0
Boosting Neural Networks to Decompile Optimized Binaries—0
BPE and CharCNNs for Translation of Morphology: A Cross-Lingual Comparison and Analysis—0
Breaking the Corpus Bottleneck for Context-Aware Neural Machine Translation with Cross-Task Pre-training—0
Bridging Dialects: Translating Standard Bangla to Regional Variants Using Neural Models—0
Bridging Neural Machine Translation and Bilingual Dictionaries—0
Bridging Philippine Languages With Multilingual Neural Machine Translation—0
Bridging the Gap between Training and Inference for Neural Machine Translation—0
Building a Neural Machine Translation System Using Only Synthetic Parallel Data—0
Building a Parallel Corpus and Training Translation Models Between Luganda and English—0
Building a Task-oriented Dialog System for Languages with no Training Data: the Case for Basque—0
Calibration of Encoder Decoder Models for Neural Machine Translation—0
Convergences and Divergences between Automatic Assessment and Human Evaluation: Insights from Comparing ChatGPT-Generated Translation and Neural Machine Translation—0
Can Domains Be Transferred Across Languages in Multi-Domain Multilingual Neural Machine Translation?—0
Can Neural Machine Translation be Improved with User Feedback?—0
Can NMT Understand Me? Towards Perturbation-based Evaluation of NMT Models for Code Generation—0
Can Synthetic Translations Improve Bitext Quality?—0
Can Synthetic Translations Improve Bitext Quality?—0
Can the Variation of Model Weights be used as a Criterion for Self-Paced Multilingual NMT?—0
Capturing document context inside sentence-level neural machine translation models with self-training—0
Categorizing Semantic Representations for Neural Machine Translation—0
Causal Transformers: Improving the Robustness on Spurious Correlations—0
Challenges of Neural Machine Translation for Short Texts—0
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