I disagree strongly. This is the same difference as Linux vs Minix. Minix didn&#x27;t want anything added as it was said to be for educational purposes even though that didn&#x27;t reflect the use cases.<p>The author points out that whilst the stated aim of NLTK is for education, it&#x27;s used for far more than that in industry and academia. You&#x27;ll see it used in papers, you&#x27;ll see it as the basis of real world projects, etc. This presents a problem if the aims of the project are different to the how the project is used.<p>The biggest flag for me is, as pointed out in the blog post, when the project doesn&#x27;t even know how the part of speech (POS) model was trained[1]. That means a lack of reproducibility[2]. Given POS tags are the first level of almost any NLP task, this is strongly troubling.<p>[1]: &quot;Where did the NLTK pos_tag model come from?&quot; <a href="https:&#x2F;&#x2F;github.com&#x2F;nltk&#x2F;nltk&#x2F;issues&#x2F;1063" rel="nofollow">https:&#x2F;&#x2F;github.com&#x2F;nltk&#x2F;nltk&#x2F;issues&#x2F;1063</a><p>[2]: The POS tags from NLTK are used for many papers and research - see <a href="https:&#x2F;&#x2F;scholar.google.com&#x2F;scholar?as_ylo=2015&amp;q=nltk&amp;hl=en&amp;as_sdt=0,5" rel="nofollow">https:&#x2F;&#x2F;scholar.google.com&#x2F;scholar?as_ylo=2015&amp;q=nltk&amp;hl=en&amp;...</a>