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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

Showing 151–175 of 1773 papers

TitleStatusHype
CommitBERT: Commit Message Generation Using Pre-Trained Programming Language ModelCode1
Learning to Generalize to More: Continuous Semantic Augmentation for Neural Machine TranslationCode1
Asynchronous Bidirectional Decoding for Neural Machine TranslationCode1
Looking for a Needle in a Haystack: A Comprehensive Study of Hallucinations in Neural Machine TranslationCode1
CommitBERT: Commit Message Generation Using Pre-Trained Programming Language ModelCode1
MarianCG: a code generation transformer model inspired by machine translationCode1
N-Bref : A High-fidelity Decompiler Exploiting Programming StructuresCode1
A Template-based Method for Constrained Neural Machine TranslationCode1
Nearest Neighbor Knowledge Distillation for Neural Machine TranslationCode1
Context-Aware Monolingual Repair for Neural Machine TranslationCode1
Neural Machine Translation: Challenges, Progress and FutureCode1
Neural Machine Translation of Rare Words with Subword UnitsCode1
Revisiting the Weaknesses of Reinforcement Learning for Neural Machine TranslationCode1
Neural Machine Translation with Joint RepresentationCode1
Continuous Language Generative FlowCode1
Fine-grained Human Evaluation of Transformer and Recurrent Approaches to Neural Machine Translation for English-to-ChineseCode0
AFRIDOC-MT: Document-level MT Corpus for African LanguagesCode0
Fine-Tuning MT systems for Robustness to Second-Language Speaker VariationsCode0
Finding Better Subword Segmentation for Neural Machine TranslationCode0
A Classification-Guided Approach for Adversarial Attacks against Neural Machine TranslationCode0
Finding Memo: Extractive Memorization in Constrained Sequence Generation TasksCode0
First the worst: Finding better gender translations during beam searchCode0
Active Learning for Neural Machine TranslationCode0
FGraDA: A Dataset and Benchmark for Fine-Grained Domain Adaptation in Machine TranslationCode0
Incorporating Chinese Radicals Into Neural Machine Translation: Deeper Than Character LevelCode0
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