Language Detection using Convolutional Neural Network
AKM Shahariar Azad Rabby, Md. Majedul Islam, Nazmul Hasan, Jebun Nahar, Fuad Rahman · 2020
Language detection is an essential pre-processing step in the implementations of many multilingual document-processing solutions, such as Optical Character Recognition (OCR) and machine translation. Specifically, language detection research for Bangla is very rare, with only a handful of solutions ever reported in the literature. In this paper, we present a lightweight, small footprint convolutional neural network, which detects Bangla and English languages-directly from scanned mixed-language document images. The proposed model achieves 99.98% recognition accuracy for this specific two-language classification problem.