Scopus Indexed Paper

Paper Details


Title
A Context-Sensitive Approach to Find Optimum Language Model for Automatic Bangla Spelling Correction
Abstract
Abstract: Automated spelling correction is an important phenomenon in typing that has intense effect on aiding both literate and semi-literate people while using keyboard or other similar devices. Such automated spelling correction technique also helps students significantly in learning process through applying proper words during word processing. A lot of work has been conducted for English language, but for Bangla, it is still not adequate. All work done so far in Bangla is context-free. Bangla is one of the mostly spoken languages (3.05% of world population) and considered seventh language of all languages in the world. In this paper, we propose a context-sensitive approach for automated spelling correction in Bangla. We make combined use of edit distance and stochastic, i.e. N-gram language model. We use six N-gram models in total. A novel approach is deployed in order to find the optimum language model in terms of performance. In addition, for finding out better performance, a large Bangla corpus of different word types is used. We have achieved a satisfactory and promising accuracy of 87.58%.
Keywords
Spelling correction; non-word error; N-gram; edit distance; magnifying search; accuracy
Authors
Muhammad Ifte Khairul Islam, Md. Tarek Habib, Md. Sadekur Rahman, Md. Riazur Rahman, Farruk Ahmed
Phone
Journal or Conference Name
International Journal of Advanced Computer Science and Applications
Publish Year
2018
Indexing
Scopus