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Low Resource NMT

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Showing 1–34 of 34 papers

TitleStatusHype
Towards Better Chinese-centric Neural Machine Translation for Low-resource LanguagesCode1
ConsistTL: Modeling Consistency in Transfer Learning for Low-Resource Neural Machine TranslationCode1
JASS: Japanese-specific Sequence to Sequence Pre-training for Neural Machine TranslationCode1
AUGVIC: Exploiting BiText Vicinity for Low-Resource NMT—0
Beyond Vanilla Fine-Tuning: Leveraging Multistage, Multilingual, and Domain-Specific Methods for Low-Resource Machine Translation—0
Bilingual Low-Resource Neural Machine Translation with Round-Tripping: The Case of Persian-Spanish—0
Target Conditioned Sampling: Optimizing Data Selection for Multilingual Neural Machine Translation—0
Controlling Formality in Low-Resource NMT with Domain Adaptation and Re-Ranking: SLT-CDT-UoS at IWSLT2022—0
Data Augmentation for Sign Language Gloss Translation—0
Direct Neural Machine Translation with Task-level Mixture of Experts models—0
Dynamic Curriculum Learning for Low-Resource Neural Machine Translation—0
Machine Translation for Livonian: Catering to 20 Speakers—0
Morphological Word Embeddings for Arabic Neural Machine Translation in Low-Resource Settings—0
NICT's participation to WAT 2019: Multilingualism and Multi-step Fine-Tuning for Low Resource NMT—0
On the Effectiveness of Quasi Character-Level Models for Machine Translation—0
On the Effectiveness of Quasi Character-Level Models for Machine Translation—0
Quantity vs. Quality of Monolingual Source Data in Automatic Text Translation: Can It Be Too Little If It Is Too Good?—0
Taking Actions Separately: A Bidirectionally-Adaptive Transfer Learning Method for Low-Resource Neural Machine Translation—0
A Survey on Low-Resource Neural Machine Translation—0
A Systematic Study Reveals Unexpected Interactions in Pre-Trained Neural Machine Translation—0
FeatureBART: Feature Based Sequence-to-Sequence Pre-Training for Low-Resource NMT—0
High-Quality Data Augmentation for Low-Resource NMT: Combining a Translation Memory, a GAN Generator, and Filtering—0
Improving Low-Resource NMT through Relevance Based Linguistic Features Incorporation—0
A Simple and General Strategy for Referential Problem in Low-Resource Neural Machine Translation—0
Learning to Multi-Task Learn for Better Neural Machine Translation—0
Enhancing Low-Resource NMT with a Multilingual Encoder and Knowledge Distillation: A Case StudyCode0
Low-resource neural machine translation with morphological modelingCode0
From Priest to Doctor: Domain Adaptaion for Low-Resource Neural Machine TranslationCode0
HFT: High Frequency Tokens for Low-Resource NMTCode0
Low-Resource NMT: an Empirical Study on the Effect of Rich Morphological Word Segmentation on InuktitutCode0
On Optimal Transformer Depth for Low-Resource Language TranslationCode0
Sicilian Translator: A Recipe for Low-Resource NMTCode0
Joint Dropout: Improving Generalizability in Low-Resource Neural Machine Translation through Phrase Pair VariablesCode0
Revisiting Low-Resource Neural Machine Translation: A Case StudyCode0
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