Bengali Grapheme

Bengali grapheme research focuses on developing robust and accurate methods for processing and understanding the Bengali writing system, encompassing handwritten and printed text, as well as spoken digits and sign language. Current research employs a range of techniques, including convolutional neural networks (CNNs), transformer-based models, and YOLOv8 for tasks such as optical character recognition (OCR), document layout analysis, and sentiment analysis. These advancements are crucial for bridging the digital divide for Bengali speakers, enabling improved access to information and technology through applications like automated translation, fake news detection, and assistive technologies for the visually or hearing impaired.