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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 251–275 of 1773 papers

TitleStatusHype
Concept Equalization to Guide Correct Training of Neural Machine Translation—0
Capturing document context inside sentence-level neural machine translation models with self-training—0
Categorizing Semantic Representations for Neural Machine Translation—0
Causal Transformers: Improving the Robustness on Spurious Correlations—0
Beyond BLEU:Training Neural Machine Translation with Semantic Similarity—0
An Empirical Study of Document-to-document Neural Machine Translation—0
Compositional Representation of Morphologically-Rich Input for Neural Machine Translation—0
Better OOV Translation with Bilingual Terminology Mining—0
Addressing Troublesome Words in Neural Machine Translation—0
A Comprehensive Survey of Multilingual Neural Machine Translation—0
Compressing Neural Machine Translation Models with 4-bit Precision—0
Conditional Variational Autoencoder for Neural Machine Translation—0
Better Datastore, Better Translation: Generating Datastores from Pre-Trained Models for Nearest Neural Machine Translation—0
BERTology for Machine Translation: What BERT Knows about Linguistic Difficulties for Translation—0
An Empirical Investigation of Multi-bridge Multilingual NMT models—0
BERT-JAM: Boosting BERT-Enhanced Neural Machine Translation with Joint Attention—0
An Empirical Comparison of Simple Domain Adaptation Methods for Neural Machine Translation—0
A Comprehensive Survey of Grammar Error Correction—0
BERT Enhanced Neural Machine Translation and Sequence Tagging Model for Chinese Grammatical Error Diagnosis—0
Bering Lab’s Submissions on WAT 2021 Shared Task—0
An Empirical Comparison of Domain Adaptation Methods for Neural Machine Translation—0
Benefits of Data Augmentation for NMT-based Text Normalization of User-Generated Content—0
Benchmarking Neural and Statistical Machine Translation on Low-Resource African Languages—0
An Empirical Analysis of NMT-Derived Interlingual Embeddings and their Use in Parallel Sentence Identification—0
Complex Question Answering on knowledge graphs using machine translation and multi-task learning—0
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