Volume 4, Issue 1


Hanat Raji-lawal1, Adio Akinwale 2, Olusegun Folorunso3, and Amidu Mustapha4
1Lagos State University, Nigeria, 2 Federal University Of Agriculture Abeokuta, Nigeria, 3 Federal University Of Agriculture Abeokuta, Nigeria, and 4 Federal University Of Agriculture Abeokuta, Nigeria


Introduction: Anagram solving task involves a retrieving process from previously acquired knowledge, this serves as a suitable memory cognition test. Automation of this process can give a very good memory cognitive test tool, the method behind this automation is anagram orthographic similarity measure. Aim: The purpose of this research is to study existing anagram orthographic similarity measures, to deduce their strengths and weaknesses, for further improvement. Materials and Methods: Experiments were carried out on the measures, using real data. Their behaviour on different orthographic string set was observed. Result: Experiment revealed that brute force has a very poor processing time, while sorting and neighbourhood frequency does not have issues with processing time. Conclusion: The research revealed that existing anagram orthographic similarity measures are not suitable for character position verification and evaluation of syllabic complexity which are essential measures of working memory capacity.

Keywords: Cognition, Orthograph, Similarity measure , Bi-anagram, and Word permutation

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