How does Macedonian Machine Translation work?
- Statistical Machine Translation. This method uses statistical models based on bilingual text corpora to predict the most probable translation of a given source sentence.
- Neural Machine Translation. Neural Machine Translation leverages deep learning techniques to generate translations in a more human-like manner, leading to improved fluency and contextual relevance.
- Rule-Based Machine Translation. This method relies on a set of predefined linguistic rules and dictionaries for grammar and vocabulary translation, often providing high accuracy for structured text.
- Hybrid Machine Translation. Hybrid Machine Translation combines multiple approaches, typically statistical and rule-based methods, to enhance overall translation quality and accuracy.