INSTITUTE OF TECHNOLOGY DEPARTMENT OF COMPUTER SCIENCE SCHOOL OF GRADUATE STUDIES MORPHOLOGICAL ANALYSIS FOR AFAAN OROMOO USING DEEP LEARNING APPROACHES MASTERS OF SCIENCE THESIS

A thesis submitted to the School of Graduate Studies of Addis Ababa University in partial fulfillment of the requirements for the Degree of Masters of Science in Economics (Economic Policy Analysis) in the School of Economics

The study empirically investigates the relative effectiveness of fiscal and
monetary policies on

UNIVERSITY OF ENERGY AND NATURAL RESOURCES, SUNYANI, GHANA DEPARTMENT OF COMPUTER SCIENCE AND INFORMATICS SCHOOL OF SCIENCES PREDICTING STUDENTS' LEARNING STYLES USING MACHINE LEARNING ALGORITHMS

Afaan Oromoo Textual Entailment Classification Using Deep Learning Approach

Natural language processing (NLP) is the field that enables computers to understand and use human la

Institute nurtures African math and science graduate students

Africa is relying on graduate research and education initiatives to produce the new crop of young sc

Text To Speech Synthesis for Afaan Oromoo Language Using Deep Learning Approach

Development of a Morphological Analyzer Model for the Geez Language Using Deep Learning Approaches

The Geez language, an ancient Semitic language and the root of Ethiopian languages like Amharic and