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 – […]
I have been in computational linguistics for more than 40 years, and this is the first time I have been to the most important conference in our field: the annual Association of Computational Linguistics (ACL) Conference. As part of the registration process, I became a member for the first time […]
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 […]
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 […]
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 […]
Part of the Natural Language Understanding Global Initiative is the Global Dictionary Initiative. The idea is to product NLP++ dictionary files for all the major languages of the world. VisualText and NLP++ are being used to parse Wiktionary pages as well as other digital resources in order to create NLP++ […]
