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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 11511200 of 1773 papers

TitleStatusHype
Towards Neural Machine Translation with Partially Aligned Corpora0
Towards one-shot learning for rare-word translation with external experts0
Towards Personalised and Document-level Machine Translation of Dialogue0
Towards Personalised and Document-level Machine Translation of Dialogue0
Towards Reinforcement Learning for Pivot-based Neural Machine Translation with Non-autoregressive Transformer0
Towards Reliable Neural Machine Translation with Consistency-Aware Meta-Learning0
Towards Robust Neural Machine Translation0
Towards String-to-Tree Neural Machine Translation0
Towards Understanding Neural Machine Translation with Word Importance0
Training, feedback and productivity measurement with NMT and Adaptive MT0
Training Mixed-Domain Translation Models via Federated Learning0
Training Neural Machine Translation (NMT) Models using Tensor Train Decomposition on TensorFlow (T3F)0
Training Neural Machine Translation using Word Embedding-based Loss0
Training with Adversaries to Improve Faithfulness of Attention in Neural Machine Translation0
Transductive Data-Selection Algorithms for Fine-Tuning Neural Machine Translation0
Efficiently Reusing Old Models Across Languages via Transfer Learning0
Transformer based Multilingual document Embedding model0
Transformer-based Neural Machine Translation System for Hindi – Marathi: WMT20 Shared Task0
Rewiring the Transformer with Depth-Wise LSTMs0
Transformer with Syntactic Position Encoding for Machine Translation0
Transforming NLU with Babylon: A Case Study in Development of Real-time, Edge-Efficient, Multi-Intent Translation System for Automated Drive-Thru Ordering0
Translate-and-Revise: Boosting Large Language Models for Constrained Translation0
Translating Phrases in Neural Machine Translation0
Translating Spanish into Spanish Sign Language: Combining Rules and Data-driven Approaches0
Translating Terminologies: A Comparative Examination of NMT and PBSMT Systems0
Translating Web Search Queries into Natural Language Questions0
Measuring Semantic Abstraction of Multilingual NMT with Paraphrase Recognition and Generation Tasks0
Translation-Enhanced Multilingual Text-to-Image Generation0
Translationese as a Language in "Multilingual" NMT0
Translationese as a Language in ``Multilingual'' NMT0
Translation Memory Guided Neural Machine Translation0
Translation of Patent Sentences with a Large Vocabulary of Technical Terms Using Neural Machine Translation0
Translation Techies @DravidianLangTech-ACL2022-Machine Translation in Dravidian Languages0
Translation vs Post-editing of NMT Output: Insights from the English-Greek language pair0
TransSlowDown: Efficiency Attacks on Neural Machine Translation Systems0
Triangular Architecture for Rare Language Translation0
Turning NMT Research into Commercial Products0
Two Heads are Better than One? Verification of Ensemble Effect in Neural Machine Translation0
UCSYNLP-Lab Machine Translation Systems for WAT 20190
UdS Submission for the WMT 19 Automatic Post-Editing Task0
UFAL Submissions to the IWSLT 2016 MT Track0
Unbabel's Submission to the WMT2019 APE Shared Task: BERT-based Encoder-Decoder for Automatic Post-Editing0
Uncertainty-Aware Curriculum Learning for Neural Machine Translation0
Uncertainty-Aware Semantic Augmentation for Neural Machine Translation0
Understanding and Addressing the Under-Translation Problem from the Perspective of Decoding Objective0
Understanding and Analyzing Model Robustness and Knowledge-Transfer in Multilingual Neural Machine Translation using TX-Ray0
Understanding and Improving Morphological Learning in the Neural Machine Translation Decoder0
Understanding and Improving Sequence-to-Sequence Pretraining for Neural Machine Translation0
Understanding and Improving Sequence-to-Sequence Pretraining for Neural Machine Translation0
Understanding Learning Dynamics for Neural Machine Translation0
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