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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

Showing 11261150 of 1773 papers

TitleStatusHype
The USYD-JD Speech Translation System for IWSLT20210
THOR-MoE: Hierarchical Task-Guided and Context-Responsive Routing for Neural Machine Translation0
Tilde's Machine Translation Systems for WMT 20190
TIMeSynC: Temporal Intent Modelling with Synchronized Context Encodings for Financial Service Applications0
TMT: A Transformer-based Modal Translator for Improving Multimodal Sequence Representations in Audio Visual Scene-aware Dialog0
TMU Japanese-Chinese Unsupervised NMT System for WAT 2018 Translation Task0
TMU NMT System with Automatic Post-Editing by Multi-Source Levenshtein Transformer for the Restricted Translation Task of WAT 20220
TMU NMT System with Japanese BART for the Patent task of WAT 20210
Token-wise Curriculum Learning for Neural Machine Translation0
Tokyo Metropolitan University Neural Machine Translation System for WAT 20170
To Label or Not to Label: Hybrid Active Learning for Neural Machine Translation0
Top-down Tree Structured Decoding with Syntactic Connections for Neural Machine Translation and Parsing0
Topic-Informed Neural Machine Translation0
Toward a full-scale neural machine translation in production: the Booking.com use case0
Toward Improving Health Literacy in Patient Education Materials with Neural Machine Translation Models0
Toward Multilingual Neural Machine Translation with Universal Encoder and Decoder0
Towards better translation performance on spoken language0
Towards Compact and Fast Neural Machine Translation Using a Combined Method0
Towards Decoding as Continuous Optimisation in Neural Machine Translation0
Towards Decoding as Continuous Optimization in Neural Machine Translation0
Towards Effective Disambiguation for Machine Translation with Large Language Models0
Towards Enhancing Faithfulness for Neural Machine Translation0
Towards Full Utilization on Mask Task for Distilling PLMs into NMT0
Towards Linear Time Neural Machine Translation with Capsule Networks0
Towards Neural Machine Translation for Edoid Languages0
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