PyNLPl is a Python library for Natural Language Processing that contains various modules useful for common, and less common, NLP tasks. PyNLPl can be used for basic tasks such as the extraction of n-grams and frequency lists, and to build simple language model.
It's very simple to use and superbly easy to implement software for natural language processing problems.
I have been using it for the last few months and I have never looked back. Another best thing about the PyNLPL is that its open source hence no need of paying a huge amount for getting the license to use it.
And apart from that the documentation for this open source python library is updated and explained in a very good manner that makes the life of developers like me super easy.
It also works with FoLiA XML (Format for Linguistic Annotation) which is the most important feature of this library that makes me dependable on this library every day for solving NLP problem statements.
What do you dislike?
I personally didn't find any flaws in this library. By far the best Natural language processing library I have ever used for developing software for natural language processing problems.
Recommendations to others considering the product
If you are working on python to solve a natural language processing problem them PyNLPl is the library to be used. I highly recommend using this library.
What business problems are you solving with the product? What benefits have you realized?
I have been using it in my laboratory for solving natural language processing problems where I need to develop automated virtual assistants that can help a person in doing day to day simple work like turn on the lights, set alarm, answer a simple query like check the weather for a requested location, etc.
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