The article presents a new method to group words into classes for language models. The researchers improved upon existing algorithms by extending them to analyze groups of three words at a time instead of just two. They also developed a faster way to process the clustering of words and analyzed the complexity of their algorithm. The researchers tested their method on large sets of text and found that it improved the accuracy of language models and speech recognition systems.