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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 76–100 of 1773 papers

TitleStatusHype
Evaluating Layers of Representation in Neural Machine Translation on Part-of-Speech and Semantic Tagging TasksCode1
Fast Nearest Neighbor Machine TranslationCode1
Go From the General to the Particular: Multi-Domain Translation with Domain Transformation NetworksCode1
Automatic Machine Translation Evaluation in Many Languages via Zero-Shot ParaphrasingCode1
Benchmarking Multidomain English-Indonesian Machine TranslationCode1
Hidden Backdoors in Human-Centric Language ModelsCode1
AutoMoE: Heterogeneous Mixture-of-Experts with Adaptive Computation for Efficient Neural Machine TranslationCode1
BERT, mBERT, or BiBERT? A Study on Contextualized Embeddings for Neural Machine TranslationCode1
Analyzing the Source and Target Contributions to Predictions in Neural Machine TranslationCode1
Improving Massively Multilingual Neural Machine Translation and Zero-Shot TranslationCode1
Beyond Decoder-only: Large Language Models Can be Good Encoders for Machine TranslationCode1
Adaptive Nearest Neighbor Machine TranslationCode1
BigVideo: A Large-scale Video Subtitle Translation Dataset for Multimodal Machine TranslationCode1
Improving Zero-shot Multilingual Neural Machine Translation by Leveraging Cross-lingual Consistency RegularizationCode1
Bi-SimCut: A Simple Strategy for Boosting Neural Machine TranslationCode1
Breaking the Representation Bottleneck of Chinese Characters: Neural Machine Translation with Stroke Sequence ModelingCode1
Bridging the Domain Gaps in Context Representations for k-Nearest Neighbor Neural Machine TranslationCode1
It's Easier to Translate out of English than into it: Measuring Neural Translation Difficulty by Cross-Mutual InformationCode1
JASS: Japanese-specific Sequence to Sequence Pre-training for Neural Machine TranslationCode1
Learning Confidence for Transformer-based Neural Machine TranslationCode1
Can We Generate Shellcodes via Natural Language? An Empirical StudyCode1
CoCoNuT: Combining Context-Aware Neural Translation Models using Ensemble for Program RepairCode1
Learning Kernel-Smoothed Machine Translation with Retrieved ExamplesCode1
ChrEnTranslate: Cherokee-English Machine Translation Demo with Quality Estimation and Corrective FeedbackCode1
NMTScore: A Multilingual Analysis of Translation-based Text Similarity MeasuresCode1
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