Bridging communication gaps between hearing and hearing-impaired individuals is an important challenge in assistive technology and inclusive education. In an attempt to close that gap, I developed a ...

Let's make a real-time Facial Landmark Detection using OpenCV, Python, and Mediapipe API. It detects 468 facial landmarks in real time. Facial Landmark Detection is used for AR (Augmented Reality) ...

The Trump administration is arguing that requiring real-time American Sign Language interpretation of events like White House press briefings “would severely intrude on the President’s prerogative to ...

The Trump administration is fighting to keep American Sign Language (ASL) interpreters from interpreting White House press briefings in real time after the The National Association for the Deaf (NAD) ...

SIOUX FALLS, S.D. (Dakota News Now) - Some holiday traditions are not always adaptable to those with physical disabilities, but going the extra mile to include everyone makes for some special memories ...

Learning a new language before the Internet was brutal. It involved dense textbooks and a bunch of in-person classes, spending innumerable hours en route to full fluency. We've come a long way since ...

Introduction: We propose a hybrid methodology to evaluate the alignment between structural communities inferred from interaction networks and the linguistic coherence of users' textual production in ...

The Department of Justice is appealing a federal judge's order requiring the White House to immediately begin providing American Sign Language (ASL) interpretation at its press briefings when ...

“White House press briefings engage the American people on important issues affecting their daily lives — in recent months, war, the economy, and healthcare, and in recent years, a global pandemic,” U ...

A federal judge ordered the White House Tuesday to immediately provide American Sign Language (ASL) interpretation at all press briefings conducted by President Trump or press secretary Karoline ...

Since transformer-based language models were introduced in 2017, they have been shown to be extraordinarily effective across a variety of NLP tasks including but not limited to language generation.