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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 626–650 of 1773 papers

TitleStatusHype
Question Answering over Knowledge Graphs with Neural Machine Translation and Entity Linking—0
IITP at WAT 2021: System description for English-Hindi Multimodal Translation Task—0
NoDeeLe: A Novel Deep Learning Schema for Evaluating Neural Machine Translation Systems—0
Audiovisual Translation through NMT and Subtitling in the Netflix Series ‘Cable Girls’—0
MultiTraiNMT: Training Materials to Approach Neural Machine Translation from Scratch—0
Neural Machine Translation for Low-Resource Languages: A Survey—0
Digging Errors in NMT: Evaluating and Understanding Model Errors from Partial Hypothesis Space—0
Language Models are Good Translators—0
On the Evaluation of Machine Translation for Terminology ConsistencyCode1
Phrase-level Active Learning for Neural Machine Translation—0
Recurrent Stacking of Layers in Neural Networks: An Application to Neural Machine Translation—0
Revisiting the Weaknesses of Reinforcement Learning for Neural Machine TranslationCode1
Alternated Training with Synthetic and Authentic Data for Neural Machine Translation—0
Sequence-Level Training for Non-Autoregressive Neural Machine TranslationCode1
Towards User-Driven Neural Machine TranslationCode0
Exploring Unsupervised Pretraining Objectives for Machine TranslationCode0
AUGVIC: Exploiting BiText Vicinity for Low-Resource NMT—0
Self-supervised and Supervised Joint Training for Resource-rich Machine Translation—0
Translate, then Parse! A strong baseline for Cross-Lingual AMR ParsingCode0
On the Language Coverage Bias for Neural Machine Translation—0
Scalable Transformers for Neural Machine Translation—0
Self-Training Sampling with Monolingual Data Uncertainty for Neural Machine TranslationCode1
Restoring the Sister: Reconstructing a Lexicon from Sister Languages using Neural Machine TranslationCode0
The Helsinki submission to the AmericasNLP shared task—0
Using Confidential Data for Domain Adaptation of Neural Machine TranslationCode0
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