The Vietnamese language embodies dialectal variants closely attached to the nation's three
macro-regions: the Northern, Central and Southern regions. As the northern dialect forms …

In recent years, counterspeech has emerged as one of the most promising strategies to fight
online hate. These non-escalatory responses tackle online abuse while preserving the …

To address the global issue of online hate, hate speech detection (HSD) systems are
typically developed on datasets from the United States, thereby failing to generalize to …

Online social media platforms such as YouTube have a wide, global reach. However, little is
known about the experience of low-resourced language speakers on such platforms; …

We explore the potential of pixel-based models for transfer learning from standard
languages to dialects. These models convert text into images that are divided into patches …

In multilingual settings, non-Latin scripts and low-resource languages are usually
disadvantaged in terms of language models' utility, efficiency, and cost. Specifically …

Cross-lingual transfer learning from high-resource to medium and low-resource languages
has shown encouraging results. However, the scarcity of resources in target languages …

Speech enhancement is crucial both for human and machine listening applications. Over the
last decade, the use of deep learning for speech enhancement has resulted in tremendous …

To tackle the global challenge of online hate speech, a large body of research has
developed detection models to flag hate speech in the sea of online content. Yet, due to …

We are 600 million Spanish speakers. We launched the# Somos600M Project because the
diversity of the languages from LATAM, the Caribbean and Spain needs to be represented …