tõlketõenäosusi

tõlketõenäosusi translates to translation probabilities in English. This term refers to the likelihood that a particular word or phrase in one language will be translated into a specific word or phrase in another language. These probabilities are a fundamental component of statistical machine translation (SMT) systems.

In SMT, translation models are built by analyzing vast amounts of parallel text, which consists of documents and their corresponding translations. By observing how words and phrases align across these texts, the system can learn the probability of different translation pairings. For example, if the word "cat" in English appears frequently followed by the word "kass" in Estonian across many parallel sentences, the translation probability of "cat" -> "kass" will be high.

These probabilities are not static and can be influenced by context. More sophisticated SMT models also consider phrase-based translation, where sequences of words are translated together, and the probabilities are associated with these phrases. The accuracy of a machine translation system heavily relies on the quality and coverage of its learned translation probabilities. Computational linguistics and natural language processing research are continuously working to improve these probability models for more accurate and fluent translations.