A rule-based Afan Oromo Grammar Checker

Debela Tesfaye
Information Technology,Jimma Institute of Technology
 Jimma, Ethiopia

Abstract—Natural language processing (NLP) is a subfield of
computer science, with strong connections to artificial
intelligence. One area of NLP is concerned with creating proofing
systems, such as grammar checker. Grammar checker
determines the syntactical correctness of a sentence which is
mostly used in word processors and compilers.

For languages, such as Afan Oromo, advanced tools have been
lacking and are still in the early stages. In this paper a rule based
grammar checker is presented. The rule base is entirely
developed and dependent on the morphology of the language .
The checker is evaluated and shown a promising result.
Keywords- afan oromo grammar checker; rule based grammar
checker.

I. INTRODUCTION

Natural language processing (NLP) is a subfield of
computer science, with strong connections to artificial
intelligence. Natural language processing (NLP) is normally
used to describe the function of computer system which
analyze or synthesize spoken or written language [3]. One area
of NLP is concerned with creating proofing systems, such as
spell checkers and grammar checkers. A grammar checker
looks for grammatical errors and, in many cases, suggests
possible corrections. Grammar checking is one of the most
widely used tools within language engineering. Spelling,
grammar and style checking for English has been an integrated
part of common word processors for some years now.
The great challenge of intelligent automatic text processing
is to use unrestricted natural language to exchange information
with a creature of a totally different nature: the computer.
People now want assistance not only in mechanical, but also in
intellectual efforts. They would like the machine to read an
unprepared text, to test it for correctness, to execute the
instructions contained in the text, or even to comprehend it well
enough to produce a reasonable response based on its meaning.
Human beings want to keep for themselves only the final
decisions.

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