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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 51–100 of 1773 papers

TitleStatusHype
Looking for a Needle in a Haystack: A Comprehensive Study of Hallucinations in Neural Machine TranslationCode1
Low Resource Neural Machine Translation: A Benchmark for Five African LanguagesCode1
MarianCG: a code generation transformer model inspired by machine translationCode1
Meta-Curriculum Learning for Domain Adaptation in Neural Machine TranslationCode1
MT-LENS: An all-in-one Toolkit for Better Machine Translation EvaluationCode1
N-Bref : A High-fidelity Decompiler Exploiting Programming StructuresCode1
Neural Machine Translating from Natural Language to SPARQLCode1
Neural Machine Translation: Challenges, Progress and FutureCode1
Adversarial Subword Regularization for Robust Neural Machine TranslationCode1
An Unsupervised method for OCR Post-Correction and Spelling Normalisation for FinnishCode1
A Novel Graph-based Multi-modal Fusion Encoder for Neural Machine TranslationCode1
Neural Machine Translation with Joint RepresentationCode1
Automatic Dialect Adaptation in Finnish and its Effect on Perceived CreativityCode1
BigVideo: A Large-scale Video Subtitle Translation Dataset for Multimodal Machine TranslationCode1
A Survey on Non-Autoregressive Generation for Neural Machine Translation and BeyondCode1
Asynchronous Bidirectional Decoding for Neural Machine TranslationCode1
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 Large-Scale Study of Machine Translation in Turkic LanguagesCode1
BERT, mBERT, or BiBERT? A Study on Contextualized Embeddings for 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
Can Automatic Post-Editing Improve NMT?Code1
Can We Generate Shellcodes via Natural Language? An Empirical StudyCode1
CLIPTrans: Transferring Visual Knowledge with Pre-trained Models for Multimodal Machine TranslationCode1
CoCoNuT: Combining Context-Aware Neural Translation Models using Ensemble for Program RepairCode1
CommitBERT: Commit Message Generation Using Pre-Trained Programming Language ModelCode1
Controlling Styles in Neural Machine Translation with Activation PromptCode1
CURE: Code-Aware Neural Machine Translation for Automatic Program RepairCode1
Data Diversification: A Simple Strategy For Neural Machine TranslationCode1
Direct Preference Optimization for Neural Machine Translation with Minimum Bayes Risk DecodingCode1
Distill the Image to Nowhere: Inversion Knowledge Distillation for Multimodal Machine TranslationCode1
Does Multi-Encoder Help? A Case Study on Context-Aware Neural Machine TranslationCode1
Analyzing the Source and Target Contributions to Predictions in Neural Machine TranslationCode1
Effective Approaches to Attention-based Neural Machine TranslationCode1
Emergent Communication Pretraining for Few-Shot Machine TranslationCode1
Adaptive Nearest Neighbor Machine TranslationCode1
FFR v1.1: Fon-French Neural Machine TranslationCode1
Generating Lead Sheets with Affect: A Novel Conditional seq2seq FrameworkCode1
Go From the General to the Particular: Multi-Domain Translation with Domain Transformation NetworksCode1
Human-Paraphrased References Improve Neural Machine TranslationCode1
Improving Lexically Constrained Neural Machine Translation with Source-Conditioned Masked Span PredictionCode1
Improving Multilingual Translation by Representation and Gradient RegularizationCode1
Improving Neural Machine Translation Models with Monolingual DataCode1
Integrating Vectorized Lexical Constraints for Neural Machine TranslationCode1
It's Easier to Translate out of English than into it: Measuring Neural Translation Difficulty by Cross-Mutual InformationCode1
JoeyS2T: Minimalistic Speech-to-Text Modeling with JoeyNMTCode1
knn-seq: Efficient, Extensible kNN-MT FrameworkCode1
Learning Confidence for Transformer-based Neural Machine TranslationCode1
NMTScore: A Multilingual Analysis of Translation-based Text Similarity MeasuresCode1
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