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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 851–900 of 1773 papers

TitleStatusHype
Machine Translation Quality: A comparative evaluation of SMT, NMT and tailored-NMT outputs—0
Fine-Tuning MT systems for Robustness to Second-Language Speaker VariationsCode0
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
Vocabulary Adaptation for Domain Adaptation in Neural Machine TranslationCode0
Sparse and Decorrelated Representations for Stable Zero-shot NMT—0
Active Learning Approaches to Enhancing Neural Machine Translation—0
CSP:Code-Switching Pre-training for Neural Machine Translation—0
Towards Enhancing Faithfulness for Neural Machine Translation—0
Coding Textual Inputs Boosts the Accuracy of Neural NetworksCode0
Effectively pretraining a speech translation decoder with Machine Translation data—0
Is it Great or Terrible? Preserving Sentiment in Neural Machine Translation of Arabic Reviews—0
Exploiting Neural Query Translation into Cross Lingual Information Retrieval—0
Constraint Translation Candidates: A Bridge between Neural Query Translation and Cross-lingual Information Retrieval—0
Analyzing the Source and Target Contributions to Predictions in Neural Machine TranslationCode1
TMT: A Transformer-based Modal Translator for Improving Multimodal Sequence Representations in Audio Visual Scene-aware Dialog—0
Token Drop mechanism for Neural Machine TranslationCode0
Sentence Boundary Augmentation For Neural Machine Translation Robustness—0
Human-Paraphrased References Improve Neural Machine TranslationCode1
Revisiting Modularized Multilingual NMT to Meet Industrial Demands—0
Unsupervised Pretraining for Neural Machine Translation Using Elastic Weight Consolidation—0
Diving Deep into Context-Aware Neural Machine Translation—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
Look It Up: Bilingual Dictionaries Improve Neural Machine Translation—0
Collective Wisdom: Improving Low-resource Neural Machine Translation using Adaptive Knowledge Distillation—0
Neural Machine Translation Doesn't Translate Gender Coreference Right Unless You Make ItCode0
SJTU-NICT's Supervised and Unsupervised Neural Machine Translation Systems for the WMT20 News Translation Task—0
On Long-Tailed Phenomena in Neural Machine TranslationCode1
Localizing Open-Ontology QA Semantic Parsers in a Day Using Machine TranslationCode0
ChrEn: Cherokee-English Machine Translation for Endangered Language RevitalizationCode1
Uncertainty-Aware Semantic Augmentation for Neural Machine Translation—0
Self-Paced Learning for Neural Machine TranslationCode0
Token-level Adaptive Training for Neural Machine TranslationCode1
Shallow-to-Deep Training for Neural Machine TranslationCode1
Vector-Vector-Matrix Architecture: A Novel Hardware-Aware Framework for Low-Latency Inference in NLP Applications—0
Multi-task Learning for Multilingual Neural Machine Translation—0
On the Sub-Layer Functionalities of Transformer Decoder—0
Why Skip If You Can Combine: A Simple Knowledge Distillation Technique for Intermediate LayersCode0
Data Rejuvenation: Exploiting Inactive Training Examples for Neural Machine TranslationCode1
Iterative Domain-Repaired Back-Translation—0
Converting the Point of View of Messages Spoken to Virtual AssistantsCode0
Adversarial Grammatical Error Correction—0
On the Sparsity of Neural Machine Translation Models—0
Improving Target-side Lexical Transfer in Multilingual Neural Machine Translation—0
A Mixed Learning Objective for Neural Machine Translation—0
Multi-Reward based Reinforcement Learning for Neural Machine Translation—0
Low-Resource NMT: an Empirical Study on the Effect of Rich Morphological Word Segmentation on InuktitutCode0
Constraining the Transformer NMT Model with Heuristic Grid Beam Search—0
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