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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 101–150 of 1773 papers

TitleStatusHype
On the Complementarity between Pre-Training and Back-Translation for Neural Machine TranslationCode1
On the Evaluation of Machine Translation for Terminology ConsistencyCode1
Paraphrase Generation as Zero-Shot Multilingual Translation: Disentangling Semantic Similarity from Lexical and Syntactic DiversityCode1
PheMT: A Phenomenon-wise Dataset for Machine Translation Robustness on User-Generated ContentsCode1
Distill the Image to Nowhere: Inversion Knowledge Distillation for Multimodal Machine TranslationCode1
Direct Preference Optimization for Neural Machine Translation with Minimum Bayes Risk DecodingCode1
Document-Level Neural Machine Translation with Hierarchical Attention NetworksCode1
Document-level grammatical error correctionCode1
Quality-Aware Decoding for Neural Machine TranslationCode1
Does Multi-Encoder Help? A Case Study on Context-Aware Neural Machine TranslationCode1
Effective Adversarial Regularization for Neural Machine TranslationCode1
Reward Optimization for Neural Machine Translation with Learned MetricsCode1
Sampling-Based Approximations to Minimum Bayes Risk Decoding for Neural Machine TranslationCode1
Selective Knowledge Distillation for Neural Machine TranslationCode1
A Novel Graph-based Multi-modal Fusion Encoder for Neural Machine TranslationCode1
An Unsupervised method for OCR Post-Correction and Spelling Normalisation for FinnishCode1
Sequence-Level Training for Non-Autoregressive Neural Machine TranslationCode1
Shallow-to-Deep Training for Neural Machine TranslationCode1
Adversarial Subword Regularization for Robust Neural Machine TranslationCode1
Effective Approaches to Attention-based Neural Machine TranslationCode1
SOTASTREAM: A Streaming Approach to Machine Translation TrainingCode1
Sparse Communication for Distributed Gradient DescentCode1
The first neural machine translation system for the Erzya languageCode1
Emergent Communication Pretraining for Few-Shot Machine TranslationCode1
The MUCOW word sense disambiguation test suite at WMT 2020Code1
TM2T: Stochastic and Tokenized Modeling for the Reciprocal Generation of 3D Human Motions and TextsCode1
Nested Music Transformer: Sequentially Decoding Compound Tokens in Symbolic Music and Audio GenerationCode1
A Survey on Non-Autoregressive Generation for Neural Machine Translation and BeyondCode1
Asynchronous Bidirectional Decoding for Neural Machine TranslationCode1
A Template-based Method for Constrained Neural Machine TranslationCode1
Evaluating Multiway Multilingual NMT in the Turkic LanguagesCode1
Fast Nearest Neighbor Machine TranslationCode1
FlowSeq: Non-Autoregressive Conditional Sequence Generation with Generative FlowCode1
Generating Lead Sheets with Affect: A Novel Conditional seq2seq FrameworkCode1
Automatic Dialect Adaptation in Finnish and its Effect on Perceived CreativityCode1
Automatic Machine Translation Evaluation in Many Languages via Zero-Shot ParaphrasingCode1
AutoMoE: Heterogeneous Mixture-of-Experts with Adaptive Computation for Efficient Neural Machine TranslationCode1
A Sketch-Based Neural Model for Generating Commit Messages from DiffsCode1
A Large-Scale Study of Machine Translation in Turkic LanguagesCode1
Human-Paraphrased References Improve Neural Machine TranslationCode1
Beyond Decoder-only: Large Language Models Can be Good Encoders for Machine TranslationCode1
Improving Massively Multilingual Neural Machine Translation and Zero-Shot TranslationCode1
Bridging the Domain Gaps in Context Representations for k-Nearest Neighbor Neural Machine TranslationCode1
Bi-SimCut: A Simple Strategy for Boosting Neural Machine TranslationCode1
Breaking the Representation Bottleneck of Chinese Characters: Neural Machine Translation with Stroke Sequence ModelingCode1
IndicBART: A Pre-trained Model for Indic Natural Language GenerationCode1
A Survey of Deep Learning Techniques for Neural Machine TranslationCode1
Can Automatic Post-Editing Improve NMT?Code1
JoeyS2T: Minimalistic Speech-to-Text Modeling with JoeyNMTCode1
Towards Making the Most of Cross-Lingual Transfer for Zero-Shot Neural Machine TranslationCode1
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