This is a potentially important study comparing infants (8 months) and adults with respect to rhythmic EEG response properties during periodic and aperiodic visual stimulation. The results provide ...

We introduce a biologically inspired bird-flocking experimental framework for text summarization that identifies the most salient sentences using contextual information, sentence position, and ...

Welcome to this little text preprocessing project! In this exercise, you will be working on cleaning up a text file containing text mistakes (for example OCR-errors) using Regular Expressions. The ...

Abstract: Text preprocessing is a key step in Natural Language Processing (NLP) that deals with the cleaning, tokenization and structure of text before building models. A comparison of the recent ...

We’re surrounded by machines that talk to us, and we’re talking back more than ever. Synthetic voices have moved beyond novelty into everyday tools: podcast narration, virtual coaching apps, and car ...

If you get a text claiming to be from your bank, especially one asking you to act fast, it might be a scam. Chase customers are among the latest targets in a phishing campaign using fake alerts to ...

Abstract: Research in Bengali Natural Language Processing (BNLP) is rapidly expanding. Despite being one of the most widely spoken languages in the world, BNLP research remains insufficient, ...

I'm writing to inquire about an issue I'm encountering while trying to input internal knowledge. Specifically, during the text preprocessing stage (after 1. selecting the data source), I've noticed ...