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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 976–1000 of 1773 papers

TitleStatusHype
Encodings of Source Syntax: Similarities in NMT Representations Across Target Languages—0
DiscreTalk: Text-to-Speech as a Machine Translation Problem—0
Leveraging Monolingual Data with Self-Supervision for Multilingual Neural Machine Translation—0
Neural Machine Translation for South Africa's Official Languages—0
Does Multi-Encoder Help? A Case Study on Context-Aware Neural Machine TranslationCode1
On Exposure Bias, Hallucination and Domain Shift in 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
Using Context in Neural Machine Translation Training Objectives—0
Evaluating Explanation Methods for Neural Machine Translation—0
On the Inference Calibration of Neural Machine TranslationCode1
A Comprehensive Survey of Grammar Error Correction—0
Mirror-Generative Neural Machine Translation—0
Neural Machine Translation with Universal Visual RepresentationCode1
Much Ado About Nothing -- Identification of Zero Copulas in Hungarian Using an NMT Model—0
Improving NMT Quality Using Terminology Injection—0
The Learnability of the Annotated Input in NMT Replicating (Vanmassenhove and Way, 2018) with OpenNMT—0
The Nunavut Hansard Inuktitut--English Parallel Corpus 3.0 with Preliminary Machine Translation Results—0
Linguistically Informed Hindi-English Neural Machine Translation—0
Literary Machine Translation under the Magnifying Glass: Assessing the Quality of an NMT-Translated Detective Novel on Document Level—0
NMT and PBSMT Error Analyses in English to Brazilian Portuguese Automatic Translations—0
Corpora for Document-Level Neural Machine Translation—0
Multilingual Neural Machine Translation involving Indian Languages—0
Benchmarking Neural and Statistical Machine Translation on Low-Resource African Languages—0
Being Generous with Sub-Words towards Small NMT Children—0
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