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Low-resource machine translation is the task of machine translation on a low-resource language where large data may not be available.

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Datasets

Greatest papers with code

Transfer Learning for Low-Resource Neural Machine Translation

EMNLP 2016 isi-nlp/Zoph_RNN

Ensembling and unknown word replacement add another 2 Bleu which brings the NMT performance on low-resource machine translation close to a strong syntax based machine translation (SBMT) system, exceeding its performance on one language pair.

LOW-RESOURCE NEURAL MACHINE TRANSLATION TRANSFER LEARNING

Data Augmentation for Low-Resource Neural Machine Translation

ACL 2017 marziehf/DataAugmentationNMT

The quality of a Neural Machine Translation system depends substantially on the availability of sizable parallel corpora.

DATA AUGMENTATION LOW-RESOURCE NEURAL MACHINE TRANSLATION

Exploiting Out-of-Domain Parallel Data through Multilingual Transfer Learning for Low-Resource Neural Machine Translation

WS 2019 aizhanti/JaRuNC

This paper proposes a novel multilingual multistage fine-tuning approach for low-resource neural machine translation (NMT), taking a challenging Japanese--Russian pair for benchmarking.

DOMAIN ADAPTATION LOW-RESOURCE NEURAL MACHINE TRANSLATION TRANSFER LEARNING

Improving Back-Translation with Uncertainty-based Confidence Estimation

IJCNLP 2019 THUNLP-MT/UCE4BT

While back-translation is simple and effective in exploiting abundant monolingual corpora to improve low-resource neural machine translation (NMT), the synthetic bilingual corpora generated by NMT models trained on limited authentic bilingual data are inevitably noisy.

LOW-RESOURCE NEURAL MACHINE TRANSLATION

Effective Cross-lingual Transfer of Neural Machine Translation Models without Shared Vocabularies

ACL 2019 yunsukim86/sockeye-transfer

Transfer learning or multilingual model is essential for low-resource neural machine translation (NMT), but the applicability is limited to cognate languages by sharing their vocabularies.

CROSS-LINGUAL TRANSFER LOW-RESOURCE NEURAL MACHINE TRANSLATION TRANSFER LEARNING

Low Resource Neural Machine Translation: A Benchmark for Five African Languages

31 Mar 2020surafelml/Afro-NMT

Recent advents in Neural Machine Translation (NMT) have shown improvements in low-resource language (LRL) translation tasks.

LOW-RESOURCE NEURAL MACHINE TRANSLATION TRANSFER LEARNING

Bi-Directional Differentiable Input Reconstruction for Low-Resource Neural Machine Translation

NAACL 2019 xingniu/sockeye

We aim to better exploit the limited amounts of parallel text available in low-resource settings by introducing a differentiable reconstruction loss for neural machine translation (NMT).

LOW-RESOURCE NEURAL MACHINE TRANSLATION

Revisiting Low-Resource Neural Machine Translation: A Case Study

ACL 2019 yuekai146/NMT

It has been shown that the performance of neural machine translation (NMT) drops starkly in low-resource conditions, underperforming phrase-based statistical machine translation (PBSMT) and requiring large amounts of auxiliary data to achieve competitive results.

LOW-RESOURCE NEURAL MACHINE TRANSLATION