What it is
The Natural Language Toolkit — Python's original NLP library. Tokenizers, stemmers, taggers, corpora, lexical resources. Slower than spaCy in production but unbeatable for prototyping and education.
How Vaaani uses it
- Quick tokenization, stemming and frequency analysis
- Teaching NLP fundamentals to junior team members
- Working with classical corpora (Brown, Reuters, WordNet)
- POC pipelines before re-implementing in spaCy or transformers
Why it makes the cut
Sometimes you don't need a 110MB transformer. NLTK is honest, transparent, and fast enough for small jobs and notebooks.
Sample code
import nltk from nltk.tokenize import word_tokenize text = "Vaaani builds AI workers for SMBs." print(word_tokenize(text)) # ['Vaaani', 'builds', 'AI', 'workers', 'for', 'SMBs', '.']
Related in the Vaaani stack
Have a project that needs NLTK?
30-min discovery call. You describe the busywork; I map it to an AI worker and a budget.