The Computer Science & Engineering Department at RV University in India has come to a long-term formal agreement with the Natural Language Understanding Global Initiative to work on rule-based NLP. Lead by Dr. G Shobha, dean of the School of Computer Science and Engineering, and Dr. Merin Thomas, the school […]
Live Talk Open to the Public Watch a video of the live presentation of this NLP++ analyzer for Brazilian addresses during the 2024 HPCC Systems Community Summit. It took place on Wednesday, October 8, at 9:00 am EST USA online. It was free to register and attend. Using the 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 – […]
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 […]
Congratulations to Jayanth C on presenting his paper on Scalable Analysis of English Dictionary Files on HPCC Systems Big Data Platform at a conference in Japan. Read more about it on LinkedIn. Here are links to the paper online:
Human language and human culture have run hand-in-hand. Thinking about what it is to be human without language is impossible. From the first utterings of speech around 70,000 years ago, to computers taking dictation and translating speech today, language is fundamental to humanity’s growth as a species. One: Writing Systems […]
This paper compares the Stanford CoreNLP system to the NLP Development Environment that bundles NLP++ and VisualText. I also introduce the terms first- and second-generation NLP Systems. Introduction Information extraction from text has been a goal for computational linguists for several decades. In the early 1990s, DARPA sponsored a series […]
I (David de Hilster) have been working in the area of practical Natural Language Processing (NLP) for almost 40 years and have seen the AI singularity being predicted at regular intervals over the past decades. Each generation seems to find something that will finally wipe out humankind. When I first […]
