3 citations · 6 across the 3 of their papers we have counts for
4 papers
Improving Neural Machine Translation of Indigenous Languages with Multilingual Transfer Learning
Wei-Rui Chen, Muhammad Abdul-Mageed
Machine translation (MT) involving Indigenous languages, including those possibly endangered, is challenging due to lack of sufficient parallel data. We describe an approach exploi…
Improving Automatic Speech Recognition for Non-Native English with Transfer Learning and Language Model Decoding
Peter Sullivan, Toshiko Shibano, Muhammad Abdul-Mageed
ASR systems designed for native English (L1) usually underperform on non-native English (L2). To address this performance gap, \textbf{(i)} we extend our previous work to investiga…
Speech Technology for Everyone: Automatic Speech Recognition for Non-Native English with Transfer Learning
Toshiko Shibano, Xinyi Zhang, Mia Taige Li +3
To address the performance gap of English ASR models on L2 English speakers, we evaluate fine-tuning of pretrained wav2vec 2.0 models (Baevski et al., 2020; Xu et al., 2021) on L2-…
IndT5: A Text-to-Text Transformer for 10 Indigenous Languages
El Moatez Billah Nagoudi, Wei-Rui Chen, Muhammad Abdul-Mageed +1
Transformer language models have become fundamental components of natural language processing based pipelines. Although several Transformer models have been introduced to serve man…