dc.contributor.author |
Islam, Muhammad Ifte Khairul |
|
dc.contributor.author |
Habib, Md. Tarek |
|
dc.contributor.author |
Rahman, Md. Sadekur |
|
dc.contributor.author |
Rahman, Md. Riazur |
|
dc.contributor.author |
Ahmed, Farruk |
|
dc.date.accessioned |
2019-05-22T05:33:03Z |
|
dc.date.available |
2019-05-22T05:33:03Z |
|
dc.date.issued |
2018 |
|
dc.identifier.uri |
http://hdl.handle.net/123456789/114 |
|
dc.description.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%. |
en_US |
dc.language.iso |
en_US |
en_US |
dc.publisher |
nternational Journal of Advanced Computer Science and Applications |
en_US |
dc.subject |
Spelling correction |
en_US |
dc.subject |
non-word error |
en_US |
dc.subject |
N-gram |
en_US |
dc.subject |
edit distance |
en_US |
dc.subject |
magnifying search |
en_US |
dc.subject |
accuracy |
en_US |
dc.title |
A Context-Sensitive Approach to Find Optimum Language Model for Automatic Bangla Spelling Correction |
en_US |
dc.type |
Article |
en_US |