NLTK stands for Natural Language Toolkit and it is suite of libraries and programs in Python for Natural Language Processing Tasks. It is one of the most widely used NLP Python libraries.
It can perform various NLP tasks like tokenization, stemming, POS tagging, lemmatization and classification to name a few.
A summary of popular modules of NLTK is given in the table below.
| S.No | Language Processing Task | NLTK module |
|---|---|---|
| 1 | Accessing Corpora | nltk.corpus |
| 2 | String Processing | nltk.tokenize, nltk.stem |
| 3 | Collocation discovery | nltk.collocations |
| 4 | Part-of-speech tagging | nltk.tag |
| 5 | Classification | nltk.classify, nltk.cluster |
| 6 | Chunking | nltk.chunk |
| 7 | Parsing | nltk.parse |
| 8 | Semantic interpretation | nltk.sem, nltk.inference |
| 9 | Evaluation metrics | nltk.metrics |
| 10 | Probability and Estimation | nltk.probability |
| 11 | Applications | nltk.app, nltk.chat |
| 12 | Linguistic fieldwork | nltk.toolbox |
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