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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-oriented NMT Adaptation for Zero-shot NLP tasks: Comparing the Usefulness of Close and Distant Languages—0
Zero-Shot Neural Machine Translation: Russian-Hindi @LoResMT 2020—0
Neural Machine Translation Doesn’t Translate Gender Coreference Right Unless You Make ItCode0
Meet Changes with Constancy: Learning Invariance in Multi-Source Translation—0
Zero-shot translation among Indian languages—0
Meta Ensemble for Japanese-Chinese Neural Machine Translation: Kyoto-U+ECNU Participation to WAT 2020—0
ContraCAT: Contrastive Coreference Analytical Templates for Machine Translation—0
WT: Wipro AI Submissions to the WAT 2020—0
Training with Adversaries to Improve Faithfulness of Attention in Neural Machine Translation—0
A Review of Discourse-level Machine Translation—0
MUCS@Adap-MT 2020: Low Resource Domain Adaptation for Indic Machine Translation—0
Comparison of the effects of attention mechanism on translation tasks of different lengths of ambiguous words—0
AdapNMT : Neural Machine Translation with Technical Domain Adaptation for Indic Languages—0
Multilingual Neural Machine Translation—0
Bridging Philippine Languages With Multilingual Neural Machine Translation—0
Multimodal Neural Machine Translation for English to Hindi—0
BERT Enhanced Neural Machine Translation and Sequence Tagging Model for Chinese Grammatical Error Diagnosis—0
A Test Suite for Evaluating Discourse Phenomena in Document-level Neural Machine Translation—0
Punjabi to English Bidirectional NMT System—0
Machine Translation of Novels in the Age of TransformerCode0
Dynamic Curriculum Learning for Low-Resource Neural Machine Translation—0
Decoding and Diversity in Machine Translation—0
Master Thesis: Neural Sign Language Translation by Learning Tokenization—0
A Hybrid Approach for Improved Low Resource Neural Machine Translation using Monolingual Data—0
Inference-only sub-character decomposition improves translation of unseen logographic characters—0
BERT-JAM: Boosting BERT-Enhanced Neural Machine Translation with Joint Attention—0
Understanding Pure Character-Based Neural Machine Translation: The Case of Translating Finnish into English—0
Detecting Word Sense Disambiguation Biases in Machine Translation for Model-Agnostic Adversarial AttacksCode0
A Targeted Attack on Black-Box Neural Machine Translation with Parallel Data Poisoning—0
Investigating Catastrophic Forgetting During Continual Training for Neural Machine Translation—0
Fine-Grained Error Analysis on English-to-Japanese Machine Translation in the Medical Domain—0
Factorized Transformer for Multi-Domain Neural Machine Translation—0
Tencent AI Lab Machine Translation Systems for WMT20 Chat Translation Task—0
Quantitative Analysis of Post-Editing Effort Indicators for NMT—0
A Semi-supervised Approach to Generate the Code-Mixed Text using Pre-trained Encoder and Transfer Learning—0
Coding Textual Inputs Boosts the Accuracy of Neural NetworksCode0
Effectively pretraining a speech translation decoder with Machine Translation data—0
Combination of Neural Machine Translation Systems at WMT20—0
Fine-Tuning MT systems for Robustness to Second-Language Speaker VariationsCode0
Combining Sequence Distillation and Transfer Learning for Efficient Low-Resource Neural Machine Translation Models—0
Linguistically Motivated Subwords for English-Tamil Translation: University of Groningen’s Submission to WMT-2020—0
INMIGRA3: building a case for NGOs and NMT—0
Sparse and Decorrelated Representations for Stable Zero-shot NMT—0
CSP:Code-Switching Pre-training for Neural Machine Translation—0
CUNI English-Czech and English-Polish Systems in WMT20: Robust Document-Level Training—0
Natural Language Response Generation from SQL with Generalization and Back-translation—0
NMT based Similar Language Translation for Hindi - Marathi—0
The ADAPT System Description for the WMT20 News Translation Task—0
The ADAPT’s Submissions to the WMT20 Biomedical Translation Task—0
Findings of the WMT 2020 Shared Task on Automatic Post-Editing—0
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