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Low Resource NMT
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이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
From Priest to Doctor: Domain Adaptaion for Low-Resource Neural Machine Translation
Quantity vs. Quality of Monolingual Source Data in Automatic Text Translation: Can It Be Too Little If It Is Too Good?
High-Quality Data Augmentation for Low-Resource NMT: Combining a Translation Memory, a GAN Generator, and Filtering
Enhancing Low-Resource NMT with a Multilingual Encoder and Knowledge Distillation: A Case Study
Low-resource neural machine translation with morphological modeling
Direct Neural Machine Translation with Task-level Mixture of Experts models
Joint Dropout: Improving Generalizability in Low-Resource Neural Machine Translation through Phrase Pair Variables
ConsistTL: Modeling Consistency in Transfer Learning for Low-Resource Neural Machine Translation
Controlling Formality in Low-Resource NMT with Domain Adaptation and Re-Ranking: SLT-CDT-UoS at IWSLT2022
Towards Better Chinese-centric Neural Machine Translation for Low-resource Languages
Sicilian Translator: A Recipe for Low-Resource NMT
A Survey on Low-Resource Neural Machine Translation
AUGVIC: Exploiting BiText Vicinity for Low-Resource NMT
Data Augmentation for Sign Language Gloss Translation
Dynamic Curriculum Learning for Low-Resource Neural Machine Translation
JASS: Japanese-specific Sequence to Sequence Pre-training for Neural Machine Translation
On Optimal Transformer Depth for Low-Resource Language Translation
Learning to Multi-Task Learn for Better Neural Machine Translation
Revisiting Low-Resource Neural Machine Translation: A Case Study
Target Conditioned Sampling: Optimizing Data Selection for Multilingual Neural Machine Translation
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.