Regex for NLP

Regex is ubiquitous in the programming world because of its usefulness as a rule-based text parsing language. Programmers find comfort in the idea of writing explicit, modifiable rules in order to parse text. This is in contrast with black-box statistical models, which cannot be modified when things go wrong – […]

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NLP++ and LLM

Trustworthy NLP systems must be rule and knowledge based given all statistical systems like large language models, machine learning, and neural networks are not. With the advent of large language models that can be queried about common knowledge, it is natural to use them to generate linguistic and world knowledge […]

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Python Package for NLP++

The first version of our NLPPlus python package is ready to use. We are still waiting on approval of the package on the python package website, but it is available as a download from our GitHub. https://github.com/VisualText/py-package-nlpengine The NLPPlus python package for NLP++ allows Python programmers to call NLP++ analyzers […]

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NLP Course Using NLP++

One of the more important projects we are currently working on is the creation of high school and college-level courses on NLP using NLP++. NLP courses at universities almost exclusively concentrate on statistical methods like Machine Learning, Neural Networks, and Large Language Models. NLP courses that do not use statistical […]

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