distributional semantics

Distributional semantics is a way of understanding words based on the context in which they appear. It’s the idea that words with similar meanings tend to occur near similar words in many sentences. For example, “doctor” and “nurse” might appear with words like “hospital” and “patient,” making their meanings related. By analyzing large amounts of text, computers can learn these patterns and generate a mathematical representation of a word’s meaning. This helps machines interpret and process language more effectively, enabling applications like language translation, search engines, and chatbots to understand and respond more naturally.