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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 301–325 of 1773 papers

TitleStatusHype
CoDoNMT: Modeling Cohesion Devices for Document-Level Neural Machine TranslationCode0
Multi-level Community-awareness Graph Neural Networks for Neural Machine TranslationCode0
Blur the Linguistic Boundary: Interpreting Chinese Buddhist Sutra in English via Neural Machine Translation—0
The first neural machine translation system for the Erzya languageCode1
Toward Improving Health Literacy in Patient Education Materials with Neural Machine Translation Models—0
Revisiting Neural Scaling Laws in Language and Vision—0
Knowledge Based Template Machine Translation In Low-Resource Setting—0
On the Complementarity between Pre-Training and Random-Initialization for Resource-Rich Machine TranslationCode0
Multilingual Bidirectional Unsupervised Translation Through Multilingual Finetuning and Back-TranslationCode0
Current Shortcomings of Machine Translation in Spanish and Bulgarian Vis-à-vis English—0
On the Effectiveness of Quasi Character-Level Models for Machine Translation—0
English-Russian Data Augmentation for Neural Machine Translation—0
The impact of translation competence on error recognition of neural MT—0
A Comparison of Data Filtering Methods for Neural Machine Translation—0
All You Need is Source! A Study on Source-based Quality Estimation for Neural Machine Translation—0
Discourse Cohesion Evaluation for Document-Level Neural Machine Translation—0
How Effective is Byte Pair Encoding for Out-Of-Vocabulary Words in Neural Machine Translation?—0
Looking for a Needle in a Haystack: A Comprehensive Study of Hallucinations in Neural Machine TranslationCode1
Benchmarking Azerbaijani Neural Machine Translation—0
Multimodal Neural Machine Translation with Search Engine Based Image Retrieval—0
Learning to translate by learning to communicateCode0
Sockeye 3: Fast Neural Machine Translation with PyTorch—0
UM4: Unified Multilingual Multiple Teacher-Student Model for Zero-Resource Neural Machine TranslationCode0
TM2T: Stochastic and Tokenized Modeling for the Reciprocal Generation of 3D Human Motions and TextsCode1
Improving Neural Machine Translation with the Abstract Meaning Representation by Combining Graph and Sequence TransformersCode0
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