International Journal of Computing and Digital Systems
This paper presents a new approach for spell-checking based on the user profile and that can be a... more This paper presents a new approach for spell-checking based on the user profile and that can be applied for any language. For this purpose and for the specific case of Arabic, spelling errors are studied and divided into 18 types. Then, a relationship model between users and their errors is obtained. The proposed architecture initially gives apposite values for a current user, then corrects misspelled words by applying the spelling rules, and the remaining words are corrected based on the probability given by an adopted model of the profile values. To show the efficiency of our profile-based approach, we conducted an experiment with a corpus of 11,908 words containing 1,888 errors. It showed that our approach suggests the correct word in 88.43% times and ranks it in the first four positions in 75.14% times. Moreover, using the same corpus we compared our implemented tool with two existing ones where ours ranked better in 69.79% times than Sahehly and 77.63% times than MS word.
It is known that the importance of spell checking, which increases with the expanding of technolo... more It is known that the importance of spell checking, which increases with the expanding of technologies, using the Internet and the local dialects, in addition to non-awareness of linguistic language. So, this importance increases with the Arabic language, which has many complexities and specificities that differ from other languages. This paper explains these specificities and presents the existing works based on techniques categories that are used, as well as explores these techniques. Besides, it gives directions for future work.
International Journal of Computing and Digital Systems
This paper presents a new approach for spell-checking based on the user profile and that can be a... more This paper presents a new approach for spell-checking based on the user profile and that can be applied for any language. For this purpose and for the specific case of Arabic, spelling errors are studied and divided into 18 types. Then, a relationship model between users and their errors is obtained. The proposed architecture initially gives apposite values for a current user, then corrects misspelled words by applying the spelling rules, and the remaining words are corrected based on the probability given by an adopted model of the profile values. To show the efficiency of our profile-based approach, we conducted an experiment with a corpus of 11,908 words containing 1,888 errors. It showed that our approach suggests the correct word in 88.43% times and ranks it in the first four positions in 75.14% times. Moreover, using the same corpus we compared our implemented tool with two existing ones where ours ranked better in 69.79% times than Sahehly and 77.63% times than MS word.
It is known that the importance of spell checking, which increases with the expanding of technolo... more It is known that the importance of spell checking, which increases with the expanding of technologies, using the Internet and the local dialects, in addition to non-awareness of linguistic language. So, this importance increases with the Arabic language, which has many complexities and specificities that differ from other languages. This paper explains these specificities and presents the existing works based on techniques categories that are used, as well as explores these techniques. Besides, it gives directions for future work.
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Papers by Ahmed Saty