9 citations · 9 across the 4 of their papers we have counts for
5 papers
Fast Training of NMT Model with Data Sorting
Daniela N. Rim, Kimera Richard, Heeyoul Choi
The Transformer model has revolutionized Natural Language Processing tasks such as Neural Machine Translation, and many efforts have been made to study the Transformer architecture…
Shared Latent Space by Both Languages in Non-Autoregressive Neural Machine Translation
DongNyeong Heo, Heeyoul Choi
Non-autoregressive neural machine translation (NAT) offers substantial translation speed up compared to autoregressive neural machine translation (AT) at the cost of translation qu…
Building a Parallel Corpus and Training Translation Models Between Luganda and English
Richard Kimera, Daniela N. Rim, Heeyoul Choi
Neural machine translation (NMT) has achieved great successes with large datasets, so NMT is more premised on high-resource languages. This continuously underpins the low resource…
End-to-End Training for Back-Translation with Categorical Reparameterization Trick
DongNyeong Heo, Heeyoul Choi
Back-translation (BT) is an effective semi-supervised learning framework in neural machine translation (NMT). A pre-trained NMT model translates monolingual sentences and makes syn…
Systematic Review for AI-based Language Learning Tools
Jin Ha Woo, Heeyoul Choi
The Second Language Acquisition field has been significantly impacted by a greater emphasis on individualized learning and rapid developments in artificial intelligence (AI). Altho…