Applying machine learning to Amharic text classification
Björn Gambäck, Magnus Sahlgren, Atelach Alemu Argaw, Lars Asker · 2006
Even though the last years have seen an increasing trend in investigating applying language processing methods to other languages than English, most of the work is still done on very few and mainly European and East-Asian languages. However, there is a need for people all over the World to be able to use their own language when using computers or accessing information on the Internet. This requires the existence of a variety of applications including local language spell-checkers, word processors, machine translation systems, search engines, etc. At the same time, the amount of work required to develop all aspects of natural language processing for a new language is huge. The main obstacles to progress in language processing for new languages are three-fold. Firstly, the peculiarities of a language itself might force new strategies to be developed. Secondly, the lack of already available resources and tools creates a vicious circle: