Cracking the code: How a 'prediction machine' is resurrecting the Singapore Stone

Several years ago, my linguistic research team and I began developing a computational tool we call "Read-y Grammarian." Our ...
MacRumors

Text Shortcuts You Should Be Using on iPhone and Mac

Apple's autocorrect on iPhone and iPad always aims to help when you're typing a message, but it's by no means perfect, and some of the replacements it continually spews out can be frustrating.
Reuters

United overhauls loyalty program benefits to boost co-branded credit card adoption

Feb 19 (Reuters) - United Airlines (UAL.O), opens new tab is revamping its frequent-flyer loyalty program to further reward travelers who carry a United co‑branded credit or debit card, while dialing ...
GitHub

A methodology to pre-process text data for preventing lookahead bias in Large Language Models (LLMs), particularly in financial text analysis.

Entity Neutering is a text preprocessing technique designed to anonymize financial documents and news articles to prevent LLMs from using prior knowledge about specific companies, industries, or time ...
IEEE

Sentiment Analysis on Telugu Text Translated from English Using NLP and ML

Abstract: This research study mainly uses Natural Language Processing (NLP) and Machine Learning. The general approach of this tool is to apply sentiment analysis in Telugu Text translated from ...
hcinnovationgroup

HHS Announces Civil Enforcement Program for Substance Use Disorder Records

The U.S. Department of Health and Human Services Office for Civil Rights (OCR) has announced that for the first time civil enforcement mechanisms will be used to protect the confidentiality of ...
NBC DFW

Texas broadens Compassionate Use Program amid THC debate

Texas’ medical marijuana program is expanding, with new laws now in effect that increase access for patients across the state, including in North Texas. While much of the debate in 2025 centered on ...
IEEE

The Declining Role of Lemmatization and Stemming in Modern NLP Pipelines

Abstract: With the increasing availability of raw text data, Natural Language Processing (NLP) application like predictive modeling has become more prevalent. Consequently, the effectiveness of text ...