 Statistical machine translation

Statistical Machine Translation (SMT) is a computational approach to language translation that uses statistical methods to convert text from one language to another. SMT relies on algorithms that analyze large corpora of bilingual text to learn how words and phrases correspond between languages. Here are some key aspects of SMT: 1. **Corpora**: SMT systems require large amounts of previously translated text (parallel corpora) to identify and model the relationships between languages. This data serves as the foundation for building translation models.