How does Punjabi Translation API work?
- Machine Learning. This involves training algorithms on large datasets of bilingual text to improve translation accuracy.
- Natural Language Processing. NLP techniques help in understanding and processing human languages, making translations more contextually relevant.
- API Requests. Users can send text through HTTP requests to receive translations in response, integrating easily into applications.
- Feedback Loop. The system improves over time by incorporating user feedback to enhance translation quality.