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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 151–200 of 1773 papers

TitleStatusHype
CommitBERT: Commit Message Generation Using Pre-Trained Programming Language ModelCode1
CommitBERT: Commit Message Generation Using Pre-Trained Programming Language ModelCode1
Asynchronous Bidirectional Decoding for Neural Machine TranslationCode1
MT-LENS: An all-in-one Toolkit for Better Machine Translation EvaluationCode1
Context-Aware Monolingual Repair for Neural Machine TranslationCode1
ConsistTL: Modeling Consistency in Transfer Learning for Low-Resource Neural Machine TranslationCode1
Neural Machine Translation with Joint RepresentationCode1
A Template-based Method for Constrained Neural Machine TranslationCode1
The first neural machine translation system for the Erzya languageCode1
Data Diversification: A Simple Strategy For Neural Machine TranslationCode1
Neural Machine Translation with Monolingual Translation MemoryCode1
Neural Machine Translation with Phrase-Level Universal Visual RepresentationsCode1
CURE: Code-Aware Neural Machine Translation for Automatic Program RepairCode1
Controlling Styles in Neural Machine Translation with Activation PromptCode1
Non-Parametric Unsupervised Domain Adaptation for Neural Machine TranslationCode1
Guided Alignment Training for Topic-Aware Neural Machine TranslationCode0
AFRIDOC-MT: Document-level MT Corpus for African LanguagesCode0
Guiding attention in Sequence-to-sequence models for Dialogue Act predictionCode0
Granularity is crucial when applying differential privacy to text: An investigation for neural machine translationCode0
A Classification-Guided Approach for Adversarial Attacks against Neural Machine TranslationCode0
Greedy Search with Probabilistic N-gram Matching for Neural Machine TranslationCode0
Handling Syntactic Divergence in Low-resource Machine TranslationCode0
Active Learning for Neural Machine TranslationCode0
Google's Multilingual Neural Machine Translation System: Enabling Zero-Shot TranslationCode0
Incorporating Chinese Radicals Into Neural Machine Translation: Deeper Than Character LevelCode0
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine TranslationCode0
Harnessing Cross-lingual Features to Improve Cognate Detection for Low-resource LanguagesCode0
Gender Lost In Translation: How Bridging The Gap Between Languages Affects Gender Bias in Zero-Shot Multilingual TranslationCode0
Gender Inflected or Bias Inflicted: On Using Grammatical Gender Cues for Bias Evaluation in Machine TranslationCode0
Generalised Unsupervised Domain Adaptation of Neural Machine Translation with Cross-Lingual Data SelectionCode0
Fully Character-Level Neural Machine Translation without Explicit SegmentationCode0
Generating Authentic Adversarial Examples beyond Meaning-preserving with Doubly Round-trip TranslationCode0
An Operation Sequence Model for Explainable Neural Machine TranslationCode0
F-MALLOC: Feed-forward Memory Allocation for Continual Learning in Neural Machine TranslationCode0
From Priest to Doctor: Domain Adaptaion for Low-Resource Neural Machine TranslationCode0
First the worst: Finding better gender translations during beam searchCode0
Achieving Open Vocabulary Neural Machine Translation with Hybrid Word-Character ModelsCode0
From the Paft to the Fiiture: a Fully Automatic NMT and Word Embeddings Method for OCR Post-CorrectionCode0
Generating Gender Augmented Data for NLPCode0
An Evaluation of Neural Machine Translation Models on Historical Spelling NormalizationCode0
Finding Better Subword Segmentation for Neural Machine TranslationCode0
A Document-Level Neural Machine Translation Model with Dynamic Caching Guided by Theme-Rheme InformationCode0
FGraDA: A Dataset and Benchmark for Fine-Grained Domain Adaptation in Machine TranslationCode0
Finding Memo: Extractive Memorization in Constrained Sequence Generation TasksCode0
Exploring Unsupervised Pretraining Objectives for Machine TranslationCode0
Exploring Recombination for Efficient Decoding of Neural Machine TranslationCode0
Factored Neural Machine TranslationCode0
Exploiting Social Media Content for Self-Supervised Style TransferCode0
A Copy Mechanism for Handling Knowledge Base Elements in SPARQL Neural Machine TranslationCode0
Exploring Paracrawl for Document-level Neural Machine TranslationCode0
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