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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
ChrEn: Cherokee-English Machine Translation for Endangered Language RevitalizationCode1
Token-level Adaptive Training for Neural Machine TranslationCode1
Shallow-to-Deep Training for Neural Machine TranslationCode1
Data Rejuvenation: Exploiting Inactive Training Examples for Neural Machine TranslationCode1
Can Automatic Post-Editing Improve NMT?Code1
Reusing a Pretrained Language Model on Languages with Limited Corpora for Unsupervised NMTCode1
Automatic Dialect Adaptation in Finnish and its Effect on Perceived CreativityCode1
Very Deep Transformers for Neural Machine TranslationCode1
Paraphrase Generation as Zero-Shot Multilingual Translation: Disentangling Semantic Similarity from Lexical and Syntactic DiversityCode1
CoCoNuT: Combining Context-Aware Neural Translation Models using Ensemble for Program RepairCode1
A Novel Graph-based Multi-modal Fusion Encoder for Neural Machine TranslationCode1
Sequence Generation with Mixed RepresentationsCode1
Language-agnostic BERT Sentence EmbeddingCode1
HausaMT v1.0: Towards English--Hausa Neural Machine TranslationCode1
FFR v1.1: Fon-French Neural Machine TranslationCode1
Norm-Based Curriculum Learning for Neural Machine TranslationCode1
On Exposure Bias, Hallucination and Domain Shift in Neural Machine TranslationCode1
Does Multi-Encoder Help? A Case Study on Context-Aware Neural Machine TranslationCode1
JASS: Japanese-specific Sequence to Sequence Pre-training for Neural Machine TranslationCode1
It's Easier to Translate out of English than into it: Measuring Neural Translation Difficulty by Cross-Mutual InformationCode1
On the Inference Calibration of Neural Machine TranslationCode1
Benchmarking Multidomain English-Indonesian Machine TranslationCode1
Neural Machine Translation with Universal Visual RepresentationCode1
Automatic Machine Translation Evaluation in Many Languages via Zero-Shot ParaphrasingCode1
Adversarial Subword Regularization for Robust Neural Machine TranslationCode1
Towards Reasonably-Sized Character-Level Transformer NMT by Finetuning Subword SystemsCode1
Improving Massively Multilingual Neural Machine Translation and Zero-Shot TranslationCode1
SimAlign: High Quality Word Alignments without Parallel Training Data using Static and Contextualized EmbeddingsCode1
Neural Machine Translation: Challenges, Progress and FutureCode1
Reducing Gender Bias in Neural Machine Translation as a Domain Adaptation ProblemCode1
Low Resource Neural Machine Translation: A Benchmark for Five African LanguagesCode1
Towards Making the Most of Context in Neural Machine TranslationCode1
A Survey of Deep Learning Techniques for Neural Machine TranslationCode1
Incorporating BERT into Neural Machine TranslationCode1
Neural Machine Translation with Joint RepresentationCode1
Neural Machine Translation System of Indic Languages -- An Attention based ApproachCode1
PMIndia -- A Collection of Parallel Corpora of Languages of IndiaCode1
A Simple Baseline to Semi-Supervised Domain Adaptation for Machine TranslationCode1
Go From the General to the Particular: Multi-Domain Translation with Domain Transformation NetworksCode1
Data Diversification: A Simple Strategy For Neural Machine TranslationCode1
Masked Language Model ScoringCode1
FlowSeq: Non-Autoregressive Conditional Sequence Generation with Generative FlowCode1
Context-Aware Monolingual Repair for Neural Machine TranslationCode1
The MuCoW Test Suite at WMT 2019: Automatically Harvested Multilingual Contrastive Word Sense Disambiguation Test Sets for Machine TranslationCode1
Structure-Invariant Testing for Machine TranslationCode1
Effective Adversarial Regularization for Neural Machine TranslationCode1
Neural Machine Translating from Natural Language to SPARQLCode1
Domain Adaptation of Neural Machine Translation by Lexicon InductionCode1
When a Good Translation is Wrong in Context: Context-Aware Machine Translation Improves on Deixis, Ellipsis, and Lexical CohesionCode1
What Is One Grain of Sand in the Desert? Analyzing Individual Neurons in Deep NLP ModelsCode1
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