Statistical machine translation

Statistical machine translation (SMT) is a method that uses mathematical models and large amounts of bilingual text to automatically translate one language into another. It analyzes patterns and frequencies of words and phrases in the source and target languages to predict the best translation. Essentially, it learns how sentences are typically constructed across languages based on existing examples, allowing it to generate translations that are often accurate and fluid. SMT relies on probabilities and statistical analysis rather than predefined rules, making it adaptable and improving as it processes more data.