Malayalam error sentence detection using deep learning with RNN-LSTM

0Citations
Citations of this article
7Readers
Mendeley users who have this article in their library.
Get full text

Abstract

Malayalam is a difficult Indian language and not easy for foreigners. Even as a mother tongue, you should spend more time learning as a child. In Malayalam, the use of the wrong word in a sentence may change the whole meaning and purpose. Many errors occur during the writing process. It is very difficult to find errors in the Malayalam language, and no one can remove those errors without their linguistic knowledge In this paper, we have proposed the structure of repetitive neural networks using long short-term memory (RNN-LSSTM) to detect Malayalam sentence errors.

Cite

CITATION STYLE

APA

Supriya, L. P., & Chinchu, M. S. (2019). Malayalam error sentence detection using deep learning with RNN-LSTM. International Journal of Recent Technology and Engineering, 8(2 Special Issue 6), 852–855. https://doi.org/10.35940/ijrte.B1158.0782S619

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free