A Mixed Trigrams Approach for Context Sensitive Spell Checking
Identifieur interne : 000F22 ( Main/Merge ); précédent : 000F21; suivant : 000F23A Mixed Trigrams Approach for Context Sensitive Spell Checking
Auteurs : Davide Fossati [États-Unis] ; Barbara Di Eugenio [États-Unis]Source :
- Lecture Notes in Computer Science [ 0302-9743 ] ; 2007.
Abstract
Abstract: This paper addresses the problem of real-word spell checking, i.e., the detection and correction of typos that result in real words of the target language. This paper proposes a methodology based on a mixed trigrams language model. The model has been implemented, trained, and tested with data from the Penn Treebank. The approach has been evaluated in terms of hit rate, false positive rate, and coverage. The experiments show promising results with respect to the hit rates of both detection and correction, even though the false positive rate is still high.
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DOI: 10.1007/978-3-540-70939-8_55
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<front><div type="abstract" xml:lang="en">Abstract: This paper addresses the problem of real-word spell checking, i.e., the detection and correction of typos that result in real words of the target language. This paper proposes a methodology based on a mixed trigrams language model. The model has been implemented, trained, and tested with data from the Penn Treebank. The approach has been evaluated in terms of hit rate, false positive rate, and coverage. The experiments show promising results with respect to the hit rates of both detection and correction, even though the false positive rate is still high.</div>
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