Modify Tokenize for numeric patterns
by vigneshchennai74 Updated: Jan 1, 2023
Solution Kit ย
In this solution we are going to Modify tokenizer for numeric patterns using spacy. Spacy is the most prominent and useful library in python it consist of numerous numbers of functions that help the developer to develop easily .In that solution we used spaCy - Util.compile_infix_regex function .This utility function will compile a sequence of infix rules into a regex object. In this solution kit, I am sharing the code snippet and library that I use to remove particular tokes in Python which can be executed directly in the IDE.
Preview of the output that you will get on running this code from your IDE
Code
In this solution we have used tokenizer function.
- Copy the code using the "Copy" button above, and paste it in a Python file in your IDE.
- Enter the Text
- Run the file to get custom Tokenized Numeric patterns
I hope you found this useful. I have added the link to dependent libraries, version information in the following sections.
I found this code snippet by searching for "Modify tokenize for Numeric pattern " in kandi. You can try any such use case!
Dependent Library
spaCyby explosion
๐ซ Industrial-strength Natural Language Processing (NLP) in Python
spaCyby explosion
Python
25599
Version:v3.5.1
License: Permissive (MIT)
Environment Test
I tested this solution in the following versions. Be mindful of changes when working with other versions.
- The solution is created in Python 3.7.15 Version
- The solution is tested on Spacy 3.4.3 Version
Using this solution, we can modify tokenizer for numeric pattern with the help of function in spacy . This process also facilities an easy to use, hassle free method to create a hands-on working version of code which would help us modify the numeric pattern in python
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