The theoretically &quot;best&quot; algorithm may not necessarily be the one that fits a particular task or set of constraints the best. It is presumptuous of the author to know what&#x27;s best for every user of the toolkit.<p>I suggest that the author, being so wise in the ways of NLP science, channel this outrage and write &quot;NLTK: The Good Parts&quot; to save the rest of the world from stumbling blindly in the dark wilderness of ignorance.