A comparison of a novel neural spell checker and standard spell checking algorithms
نویسندگان
چکیده
منابع مشابه
A Comparison of Standard Spell Checking Algorithms and a Novel Binary Neural Approach
In this paper we propose a simple, flexible and efficient hybrid spell checking methodology based upon phonetic matching, supervised learning and associative matching in the AURA neural system. We integrate Hamming Distance and n-gram algorithms that have high recall for typing errors and a phonetic spell-checking algorithm in a single novel architecture. Our approach is suitable for any spell ...
متن کاملA Novel Binary Spell Checker
In this paper we propose a simple, flexible and efficient hybrid spell checking methodology based upon phonetic matching, supervised learning and associative matching in the AURA neural system. We evaluate our approach against several benchmark spell-checking algorithms for recall accuracy. Our proposed hybrid methodology has the joint highest top 10 recall rate of the techniques evaluated. The...
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ژورنال
عنوان ژورنال: Pattern Recognition
سال: 2002
ISSN: 0031-3203
DOI: 10.1016/s0031-3203(01)00174-1