Abstract
This study has implemented a rule-based approach on grammar checkers by integrating a spell-checker with a morphological analyzer to improve the Afaan Oromo grammar checker. A corpus containing about 300,000 words has been prepared to be used for spell-checker. About 300 grammar rules are constructed to detect the grammar error within the Afaan Oromo text and to suggest the possible grammar correction. The developed frameworks have experimented on the document having pairs of 100 correct and incorrect sentences. The experimental result for checking the spelling errors has scored 73% of recall, 76% precision, and 75% of F-measure. The score for suggesting the correct spelling is 78% of recall, 62% precision, and 70% precision F-measure while the evaluation result for detecting the grammar errors has 47% recall, 90% precision and 68% f-measure score. For suggesting the possible correct grammar on the detected error, the system has scored 61% recall, 71% precision and 66% f-measure. The overall performance of the developed system has a good performance. However, there is still a need to conduct further research to improve the Afaan Oromo grammar checker.
Highlights
A natural language is a language used by humans
The evaluation task is done in two phases, and the first phase evaluation is applied to test the detection and suggestion capability of the system for the spelling error within a sentence
The second phase is evaluated to check the system's performance for grammar error detection and correction suggestions made to the identified error
Summary
A natural language is a language used by humans. Natural language processing (NLP) is a field of study mainly concerned with the communications between human languages and the computer. People may make an error which can be a spelling error and/or a grammar error. A spelling error is an error if the given the word does not exist in the language's vocabulary, whereas a grammatical error occurs when the written sentence is not as per the grammar rule of a given language [1]. It is difficult for many to write various contents using correct spelling and grammar, whether professional communication or a regular discussion, which makes grammar checking one important tool in the word processing software. Grammar checking is one of the activities in the natural language's written communication and NLP application
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