Towards hate speech detection in low-resource languages: Comparing ASR to acoustic word embeddings on Wolof and Swahili

no code implementations • 1 Jun 2023 • Christiaan Jacobs, Nathanaël Carraz Rakotonirina, Everlyn Asiko Chimoto, Bruce A. Bassett, Herman Kamper

But in an in-the-wild test on Swahili radio broadcasts with actual hate speech keywords, the AWE model (using one minute of template data) is more robust, giving similar performance to an ASR system trained on 30 hours of labelled data.

Automatic Speech Recognition Automatic Speech Recognition (ASR) +4

Very Low Resource Sentence Alignment: Luhya and Swahili

no code implementations • 31 Oct 2022 • Everlyn Asiko Chimoto, Bruce A. Bassett

We fine-tune the embeddings on a small set of parallel Luhya sentences and show significant gains, improving the LaBSE alignment accuracy to 53. 3%.

Machine Translation Sentence +2

COMET-QE and Active Learning for Low-Resource Machine Translation

no code implementations • 27 Oct 2022 • Everlyn Asiko Chimoto, Bruce A. Bassett

Active learning aims to deliver maximum benefit when resources are scarce.

Active Learning Low-Resource Neural Machine Translation +2