How does Yoruba Image Translator work?
- Optical Character Recognition (OCR). OCR technology identifies and extracts textual information from images, enabling the conversion of printed or handwritten Yoruba text into editable and searchable digital text.
- Natural Language Processing (NLP). NLP algorithms analyze the extracted text in Yoruba, enabling accurate translations and contextual understanding of the content.
- Machine Learning. Machine learning techniques are used to train the translator model, improving the accuracy and efficiency of text recognition and translation over time.
- Multilingual Support. The system supports multiple languages, allowing users to translate Yoruba text into various other languages seamlessly.