Probabilistic Parsing

Probabilistic parsing is a method used by computers to understand and interpret sentences by considering multiple possible structures and selecting the most likely one based on likelihoods derived from language data. By analyzing patterns in how words and phrases typically appear together, it assigns probabilities to different parses. This approach helps the computer choose the best interpretation of a sentence, especially when ambiguity exists. It's like decision-making based on common usage, making the understanding more accurate and efficient in natural language processing tasks such as translation or speech recognition.