SOTAVerified

Low Resource NMT

Papers

Showing 125 of 34 papers

TitleStatusHype
ConsistTL: Modeling Consistency in Transfer Learning for Low-Resource Neural Machine TranslationCode1
Towards Better Chinese-centric Neural Machine Translation for Low-resource LanguagesCode1
JASS: Japanese-specific Sequence to Sequence Pre-training for Neural Machine TranslationCode1
Beyond Vanilla Fine-Tuning: Leveraging Multistage, Multilingual, and Domain-Specific Methods for Low-Resource Machine Translation0
From Priest to Doctor: Domain Adaptaion for Low-Resource Neural Machine TranslationCode0
Quantity vs. Quality of Monolingual Source Data in Automatic Text Translation: Can It Be Too Little If It Is Too Good?0
High-Quality Data Augmentation for Low-Resource NMT: Combining a Translation Memory, a GAN Generator, and Filtering0
Enhancing Low-Resource NMT with a Multilingual Encoder and Knowledge Distillation: A Case StudyCode0
Low-resource neural machine translation with morphological modelingCode0
Direct Neural Machine Translation with Task-level Mixture of Experts models0
Joint Dropout: Improving Generalizability in Low-Resource Neural Machine Translation through Phrase Pair VariablesCode0
HFT: High Frequency Tokens for Low-Resource NMTCode0
FeatureBART: Feature Based Sequence-to-Sequence Pre-Training for Low-Resource NMT0
Taking Actions Separately: A Bidirectionally-Adaptive Transfer Learning Method for Low-Resource Neural Machine Translation0
A Systematic Study Reveals Unexpected Interactions in Pre-Trained Neural Machine Translation0
Controlling Formality in Low-Resource NMT with Domain Adaptation and Re-Ranking: SLT-CDT-UoS at IWSLT20220
Machine Translation for Livonian: Catering to 20 Speakers0
On the Effectiveness of Quasi Character-Level Models for Machine Translation0
Sicilian Translator: A Recipe for Low-Resource NMTCode0
On the Effectiveness of Quasi Character-Level Models for Machine Translation0
A Survey on Low-Resource Neural Machine Translation0
AUGVIC: Exploiting BiText Vicinity for Low-Resource NMT0
Data Augmentation for Sign Language Gloss Translation0
A Simple and General Strategy for Referential Problem in Low-Resource Neural Machine Translation0
Improving Low-Resource NMT through Relevance Based Linguistic Features Incorporation0
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