Título: Hybrid Approach for Measuring String Similarity and its Usage in Supply Type Questions’ Answer Evaluation
Autores: Shah, Khyati Rajulkumar; Shrimad Rajchandra Institute of Management and Computer Application
Patel, Mayuri; Shrimad Rajchandra Institute of Management and Computer Application. Bardoli. Gujarat, India.
Sheth, Jikitsha; Assistant Professor. Shrimad Rajchandra Institute of Management and Computer Application. Bardoli.
Lad, Kalpesh; Assistant Professor. Shrimad Rajchandra Institute of Management and Computer Application. Bardoli.
Fecha: 2012-10-29
Publicador: International journal of computer and electronics research
Fuente:
Tipo: Peer-reviewed Article
Tema: Backtracking, Alignment, Penalty, Spelling Error
Descripción: In this paper we are going to present a novel approach for spell checking algorithm. We used concepts like backtracking and alignment. This algorithm is helpful in educational tools where supply type questions are there. And domain knowledge is more important than linguistic knowledge. It reduces the penalty and tries to give maximum marks.
Idioma: Inglés

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