Efficient Sentence Boundary Detection and Collocation using Python and Decision Models

The recent project, Efficient Sentence Boundary Detection and Collocation using Python and Decision Models, has achieved an outstanding 80.54% model accuracy on a large corpus, making it an efficient tool for language processing. The project implements techniques for both unigrams and bigrams, allowing for comprehensive and accurate analysis of text.