How does Lithuanian Translator App work?
- Neural Machine Translation (NMT). NMT uses deep learning models to translate text by considering entire sentences at a time, resulting in more natural-sounding translations.
- Rule-Based Translation. This method relies on predefined linguistic rules and dictionaries to convert text, ensuring grammatical accuracy but can lack flexibility.
- Phrase-Based Translation. Phrase-Based Translation breaks text into smaller phrases for translation, allowing for better handling of idiomatic expressions and context.
- Contextual Understanding. The app employs algorithms to understand the context of sentences, improving the accuracy of translations by considering semantic meaning.