How does Bengali Machine Translation work?
- Statistical Machine Translation. This method uses statistical models to translate text based on the analysis of bilingual text corpora. It determines probable translations based on data frequency.
- Neural Machine Translation. A modern approach that employs deep learning algorithms to create more fluent and accurate translations by understanding context and semantics in sentences.
- Rule-based Machine Translation. This technique utilizes predefined linguistic rules and dictionaries for translation. It focuses on grammar and syntax but may lack flexibility for conversational language.
- Hybrid Machine Translation. This method combines different translation techniques, such as statistical and rule-based methods, to improve translation quality and handle various linguistic challenges.