Year: 2009
Type: conference-paper
Abstract: The paper describes a set of experiments involving the application of three state-ofthe-art part-of-speech taggers to Ethiopian Amharic, using three different tagsets.The taggers showed worse performance than previously reported results for English, in particular having problems with unknown words.The best results were obtained using a Maximum Entropy approach, while HMM-based and SVMbased taggers got comparable results.
Authors: Björn Gambäck, Fredrik Olsson, Atelach Alemu Argaw, Lars Asker
Institutions: Stockholm University, Swedish Institute of Computer Science
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: gold
OpenAlex ID: W2160055183