Collocation detection involves identifying words that frequently appear together in a language, forming a meaningful combination that is not necessarily predictable from the individual meanings of the words. This process is crucial in natural language processing for tasks such as machine translation, sentiment analysis, and improving search engine algorithms by understanding context and idiomatic expressions.