Work

Classifying Amharic news text using self-organizing maps

Year: 2005

Type: conference-paper

Abstract: The paper addresses using artificial neural networks for classification of Amharic news items. Amharic is the language for countrywide communication in Ethiopia and has its own writing system containing extensive systematic redundancy. It is quite dialectally diversified and probably representative of the languages of a continent that so far has received little attention within the language processing field.

DOI: 10.3115/1621787.1621801

Authors: Samuel Eyassu, Björn Gambäck

Institutions: Addis Ababa University, Swedish Institute of Computer Science

Language: English

Topic: Text and Document Classification Technologies

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: gold

Funders: Styrelsen för Internationellt Utvecklingssamarbete, Addis Ababa University

OpenAlex ID: W1964428610

FWCI: 0.713

Cites: 28

Cited by: 20

Related to: 10