How does Pashto Translation API work?
- Neural Machine Translation. This method uses deep learning techniques to improve translation accuracy and fluency by understanding context better.
- Language Modeling. Language modeling is utilized to predict the next word in a sequence, enhancing the overall quality of generated translations.
- Text Preprocessing. This technique involves cleaning and preparing the input text to ensure it is in the best format for translation, minimizing errors.
- Post-Editing. After initial translation, post-editing is performed to refine and improve translations based on human feedback and contextual understanding.