14 citations · 21 across the 5 of their papers we have counts for
5 papers
Towards hate speech detection in low-resource languages: Comparing ASR to acoustic word embeddings on Wolof and Swahili
Christiaan Jacobs, Nathanaël Carraz Rakotonirina, Everlyn Asiko Chimoto +2
We consider hate speech detection through keyword spotting on radio broadcasts. One approach is to build an automatic speech recognition (ASR) system for the target low-resource la…
Very Low Resource Sentence Alignment: Luhya and Swahili
Everlyn Asiko Chimoto, Bruce A. Bassett
Language-agnostic sentence embeddings generated by pre-trained models such as LASER and LaBSE are attractive options for mining large datasets to produce parallel corpora for low-r…
Learning to Detect Interesting Anomalies
Alireza Vafaei Sadr, Bruce A. Bassett, Emmanuel Sekyi
Anomaly detection algorithms are typically applied to static, unchanging, data features hand-crafted by the user. But how does a user systematically craft good features for anomali…
COMET-QE and Active Learning for Low-Resource Machine Translation
Everlyn Asiko Chimoto, Bruce A. Bassett
Active learning aims to deliver maximum benefit when resources are scarce. We use COMET-QE, a reference-free evaluation metric, to select sentences for low-resource neural machine…
Cosmic String Detection with Tree-Based Machine Learning
A. Vafaei Sadr, M. Farhang, S. M. S. Movahed +2
We explore the use of random forest and gradient boosting, two powerful tree-based machine learning algorithms, for the detection of cosmic strings in maps of the cosmic microwave…