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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 1401–1425 of 1773 papers

TitleStatusHype
Beam Search Strategies for Neural Machine Translation—0
Being Generous with Sub-Words towards Small NMT Children—0
Benchmarking Azerbaijani Neural Machine Translation—0
Benchmarking Neural and Statistical Machine Translation on Low-Resource African Languages—0
Benefits of Data Augmentation for NMT-based Text Normalization of User-Generated Content—0
Bering Lab’s Submissions on WAT 2021 Shared Task—0
BERT Enhanced Neural Machine Translation and Sequence Tagging Model for Chinese Grammatical Error Diagnosis—0
BERT-JAM: Boosting BERT-Enhanced Neural Machine Translation with Joint Attention—0
BERTology for Machine Translation: What BERT Knows about Linguistic Difficulties for Translation—0
Better Datastore, Better Translation: Generating Datastores from Pre-Trained Models for Nearest Neural Machine Translation—0
Better OOV Translation with Bilingual Terminology Mining—0
Beyond BLEU:Training Neural Machine Translation with Semantic Similarity—0
Beyond Vanilla Fine-Tuning: Leveraging Multistage, Multilingual, and Domain-Specific Methods for Low-Resource Machine Translation—0
Bi-Decoder Augmented Network for Neural Machine Translation—0
Bi-Directional Differentiable Input Reconstruction for Low-Resource Neural Machine Translation—0
Bidirectional Generative Adversarial Networks for Neural Machine Translation—0
Bi-Directional Neural Machine Translation with Synthetic Parallel Data—0
Bilex Rx: Lexical Data Augmentation for Massively Multilingual Machine Translation—0
Bilingual Low-Resource Neural Machine Translation with Round-Tripping: The Case of Persian-Spanish—0
Bilingual Methods for Adaptive Training Data Selection for Machine Translation—0
Bi-SimCut: A Simple Strategy for Boosting Neural Machine Translation—0
BitextEdit: Automatic Bitext Editing for Improved Low-Resource Machine Translation—0
Bitext Mining Using Distilled Sentence Representations for Low-Resource Languages—0
BiVert: Bidirectional Vocabulary Evaluation using Relations for Machine Translation—0
Blur the Linguistic Boundary: Interpreting Chinese Buddhist Sutra in English via Neural Machine Translation—0
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