How does Turkish Machine Translation work?
- Statistical Machine Translation. This method analyzes the statistical properties of bilingual text corpora to create translation models based on word and phrase occurrences.
- Neural Machine Translation. This approach uses deep learning techniques to train models that can predict the probability of a sequence of words, resulting in more fluent and natural translations.
- Rule-Based Translation. Rule-based systems use handcrafted grammatical and lexical rules to convert text from one language to another, ensuring more accurate translations.
- Hybrid Methods. These systems combine various techniques, such as statistical and rule-based methods, to enhance translation quality and performance.