How does Shona Image Translator work?
- Optical Character Recognition (OCR). OCR technology is used to detect and extract text from images, making it possible to convert printed or handwritten text into a machine-readable format.
- Natural Language Processing (NLP). NLP algorithms help to interpret the extracted text and ensure that the translation is contextually accurate and fluid.
- Machine Translation. The extracted text is translated into Shona using advanced machine translation techniques that consider grammar and idiomatic expressions.
- User Feedback Integration. The system continuously learns from user feedback to improve the accuracy and quality of translations over time.