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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 801–850 of 1773 papers

TitleStatusHype
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
An Unsupervised method for OCR Post-Correction and Spelling Normalisation for FinnishCode1
Understanding Pure Character-Based Neural Machine Translation: The Case of Translating Finnish into English—0
PheMT: A Phenomenon-wise Dataset for Machine Translation Robustness on User-Generated ContentsCode1
Detecting Word Sense Disambiguation Biases in Machine Translation for Model-Agnostic Adversarial AttacksCode0
Emergent Communication Pretraining for Few-Shot Machine TranslationCode1
Investigating Catastrophic Forgetting During Continual Training for Neural Machine Translation—0
A Targeted Attack on Black-Box Neural Machine Translation with Parallel Data Poisoning—0
Machine Translation for English–Inuktitut with Segmentation, Data Acquisition and Pre-Training—0
SJTU-NICT’s Supervised and Unsupervised Neural Machine Translation Systems for the WMT20 News Translation Task—0
An Iterative Knowledge Transfer NMT System for WMT20 News Translation Task—0
Document Level NMT of Low-Resource Languages with Backtranslation—0
The ADAPT System Description for the WMT20 News Translation Task—0
NMT based Similar Language Translation for Hindi - Marathi—0
The ADAPT’s Submissions to the WMT20 Biomedical Translation Task—0
Pretrained Language Models and Backtranslation for English-Basque Biomedical Neural Machine Translation—0
Linguistically Motivated Subwords for English-Tamil Translation: University of Groningen’s Submission to WMT-2020—0
Priming Neural Machine Translation—0
NUIG-Panlingua-KMI Hindi-Marathi MT Systems for Similar Language Translation Task @ WMT 2020—0
The MUCOW word sense disambiguation test suite at WMT 2020Code1
CUNI English-Czech and English-Polish Systems in WMT20: Robust Document-Level Training—0
Cross-Lingual Transformers for Neural Automatic Post-Editing—0
HW-TSC’s Participation at WMT 2020 Automatic Post Editing Shared Task—0
Hindi-Marathi Cross Lingual Model—0
Noising Scheme for Data Augmentation in Automatic Post-Editing—0
Tencent AI Lab Machine Translation Systems for WMT20 Chat Translation Task—0
Contact Relatedness can help improve multilingual NMT: Microsoft STCI-MT @ WMT20—0
Transformer-based Neural Machine Translation System for Hindi – Marathi: WMT20 Shared Task—0
Findings of the WMT 2020 Shared Task on Automatic Post-Editing—0
Combining Sequence Distillation and Transfer Learning for Efficient Low-Resource Neural Machine Translation Models—0
Combination of Neural Machine Translation Systems at WMT20—0
Neural Machine Translation between similar South-Slavic languages—0
Natural Language Response Generation from SQL with Generalization and Back-translation—0
Efficient Transfer Learning for Quality Estimation with Bottleneck Adapter Layer—0
Modelling Source- and Target- Language Syntactic Information as Conditional Context in Interactive Neural Machine Translation—0
Domain Informed Neural Machine Translation: Developing Translation Services for Healthcare Enterprise—0
Low-Resource Unsupervised NMT: Diagnosing the Problem and Providing a Linguistically Motivated SolutionCode0
Insights from Gathering MT Productivity Metrics at Scale—0
INMIGRA3: building a case for NGOs and NMT—0
Incorporating External Annotation to improve Named Entity Translation in NMT—0
Sockeye 2: A Toolkit for Neural Machine Translation—0
Automatic Translation for Multiple NLP tasks: a Multi-task Approach to Machine-oriented NMT Adaptation—0
A User Study of the Incremental Learning in NMT—0
Quantitative Analysis of Post-Editing Effort Indicators for NMT—0
MTUOC: easy and free integration of NMT systems in professional translation environments—0
Machine Translation Quality: A comparative evaluation of SMT, NMT and tailored-NMT outputs—0
PosEdiOn: Post-Editing Assessment in PythOn—0
Fine-Grained Error Analysis on English-to-Japanese Machine Translation in the Medical Domain—0
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