How does Armenian Translation API work?
- Neural Machine Translation (NMT). NMT uses deep learning algorithms to provide more accurate and contextually relevant translations by analyzing entire sentences.
- Rule-Based Translation. This method applies grammatical rules and dictionaries to convert text from one language to another, ensuring grammatical accuracy.
- Statistical Machine Translation (SMT). SMT employs statistical models to predict the likelihood of specific translations based on previously gathered linguistic data.
- Post-Editing. This process involves human translators refining machine-generated translations to achieve higher accuracy and fluency.