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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 851–875 of 1773 papers

TitleStatusHype
Modelling Source- and Target- Language Syntactic Information as Conditional Context in Interactive Neural Machine Translation—0
Fine-Tuning MT systems for Robustness to Second-Language Speaker VariationsCode0
Active Learning Approaches to Enhancing Neural Machine Translation—0
Vocabulary Adaptation for Domain Adaptation in Neural Machine TranslationCode0
Sparse and Decorrelated Representations for Stable Zero-shot NMT—0
Factorized Transformer for Multi-Domain Neural Machine Translation—0
A Semi-supervised Approach to Generate the Code-Mixed Text using Pre-trained Encoder and Transfer Learning—0
Effectively pretraining a speech translation decoder with Machine Translation data—0
CSP:Code-Switching Pre-training for Neural Machine Translation—0
Coding Textual Inputs Boosts the Accuracy of Neural NetworksCode0
Towards Enhancing Faithfulness for Neural Machine Translation—0
Is it Great or Terrible? Preserving Sentiment in Neural Machine Translation of Arabic Reviews—0
Constraint Translation Candidates: A Bridge between Neural Query Translation and Cross-lingual Information Retrieval—0
Exploiting Neural Query Translation into Cross Lingual Information Retrieval—0
Token Drop mechanism for Neural Machine TranslationCode0
Analyzing the Source and Target Contributions to Predictions in Neural Machine TranslationCode1
Sentence Boundary Augmentation For Neural Machine Translation Robustness—0
TMT: A Transformer-based Modal Translator for Improving Multimodal Sequence Representations in Audio Visual Scene-aware Dialog—0
Human-Paraphrased References Improve Neural Machine TranslationCode1
Diving Deep into Context-Aware Neural Machine Translation—0
Unsupervised Pretraining for Neural Machine Translation Using Elastic Weight Consolidation—0
Revisiting Modularized Multilingual NMT to Meet Industrial Demands—0
A Corpus for English-Japanese Multimodal Neural Machine Translation with Comparable Sentences—0
Generating Diverse Translation from Model Distribution with Dropout—0
Pronoun-Targeted Fine-tuning for NMT with Hybrid LossesCode0
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