Abstract

Abstract:

While high-resource languages such as English have made significant progress in various natural language processing (NLP) applications, low-resource languages are struggling to keep up. Drawing from our experience and expertise at the LT (Language Technology) group, this talk will shed light on the main challenges facing NLP in low-resource languages. After providing an overview of the basics, I will showcase hate speech detection and sentiment analysis as two use cases for the Amharic language. This presentation is an expansion of my keynote speech at AFricaNLP collocated with ICLR 2023 at Kigali, Rwanda.

Bio:

I’m Seid Muhie Yimam, a Technical Lead at the house of computing and data science (HCDS) and Research Associate at the Language Technology Group at the University of Hamburg, supervised by Prof. Chris Biemann. At HCDS , I lead research on data processing of textual content for digital humanities. My Ph.D. focused on integrating adaptive machine learning models into NLP applications. I’ve participated on social media NLP , mainly hate speech detection and sentiment analysis for the Ethiopian language of Amharic. I teach NLP courses and supervise Master’s projects/thesis in the group.

Topic: NLIP Seminar Time: May 19, 2023 12:00 PM London

Join Zoom Meeting https://cl-cam-ac-uk.zoom.us/j/98061669047?pwd=SWJhMVRCakh4QXJ2VmpXM0pHdFZoUT09

Meeting ID: 980 6166 9047 Passcode: 045542