A Python toolkit for text preprocessing in Pashto, a low-resource and morphologically rich language. Includes normalization, tokenization, stopword removal, stemming, lemmatization, POS tagging, and ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Vivek Yadav, an engineering manager from ...

This project implements a sophisticated text classification system to detect AI-generated content using BERT (Bidirectional Encoder Representations from Transformers). The system can distinguish ...

In this tutorial, we present a complete end-to-end Natural Language Processing (NLP) pipeline built with Gensim and supporting libraries, designed to run seamlessly in Google Colab. It integrates ...

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 ...

Introduction: Social media is increasingly used in many contexts within the healthcare sector. The improved prevalence of Internet use via computers or mobile devices presents an opportunity for ...

ABSTRACT: Pregnancy presents a unique clinical scenario where the safety of pharmacological interventions is of paramount importance. The potential teratogenic risks associated with drug intake during ...

Language technology has grown fast, but it still feels frustrating at times. Maybe your virtual assistant misunderstands commands, or translation tools miss the tone of a sentence. These gaps can ...