Python NLTK | nltk.tokenize.SExprTokenizer()

Introduction

Natural Language Toolkit (NLTK) is a Python library that makes it easier to work with human language data. One of the modules included in NLTK is the nltk.tokenize module, which provides tools for tokenizing text.

The nltk.tokenize.SExprTokenizer() is a subclass of the nltk.tokenize.StanfordTokenizer class. It is designed to tokenize espressions written in Lisp-like notation, such as mathematical expressions or programming code.

Implementation

To use the nltk.tokenize.SExprTokenizer() module, you first need to install the NLTK library. This can be done by running the following command:

pip install nltk

After installing the NLTK library, you can import the nltk.tokenize.SExprTokenizer() module into your Python code as follows:

from nltk.tokenize import SExprTokenizer

Once you have imported the module, you can use the tokenize() function to tokenize Lisp-like expressions. For example:

tokenizer = SExprTokenizer()
expr = "(add 2 (mul 3 4))"
tokens = tokenizer.tokenize(expr)
print(tokens)

This would output the following:

['(', 'add', '2', '(', 'mul', '3', '4', ')', ')']

Conclusion

In this article, we have looked at the nltk.tokenize.SExprTokenizer() module of the NLTK library, which is designed to tokenize Lisp-like expressions. We have seen how to import the module and use the tokenize() function to tokenize a simple expression.