How does Turkish Translation API work?
- Neural Machine Translation. This method utilizes deep learning techniques to provide context-aware translations that are more accurate and human-like.
- Statistical Machine Translation. This approach uses statistical models to translate text based on the analysis of large corpora of existing translations, providing reliable outputs.
- Pre-trained Language Models. The API leverages pre-trained models that have been fine-tuned on diverse datasets to improve translation quality and fluency.
- Real-time Translation. This feature allows users to receive instant translations, making communication seamless in real-time applications.