How does Latvian Machine Translation work?
- Neural Machine Translation. This technique uses deep learning models to translate languages by predicting the likelihood of a sequence of words, leading to more fluent translations.
- Statistical Machine Translation. This method relies on statistical models to translate text based on the analysis of bilingual text corpora, calculating the most probable translation.
- Rule-based Machine Translation. This approach uses a set of linguistic rules and dictionaries for translating text, focusing on grammar and syntax to improve accuracy.
- Hybrid Machine Translation. This combines multiple translation methods, such as statistical and rule-based techniques, to enhance translation quality and handle more complex language structures.