Many challenges in nlp involve natural language understanding.
Natural language processing software open source.
Includes tools for tokenization splitting of text into words part of speech tagging grammar parsing identifying things like noun and verb phrases named entity recognition and more.
Nltk the natural language toolkit is a suite of open source python modules data sets and tutorials supporting research and development in natural language processing.
Nltk provides users with a basic set of tools for text related operations.
Natural language toolkit nltk it would be easy to argue that natural language toolkit nltk is the most full featured tool of the ones i surveyed.
It s lightning fast easy to use well documented and designed to support large volumes of data not to mention boasts a series of pretrained nlp models that make your job even easier.
From this point the nltk library is a standard nlp tool developed for research and education.
It implements pretty much any component of nlp you would need like classification tokenization stemming tagging parsing and semantic reasoning.
It is a good starting point for beginners in natural language processing.
Stanford s core nlp suite a gpl licensed framework of tools for processing english chinese and spanish.
Nlp is the technology for dealing with our all pervasive product.