Logo Lanfrica
  • Accueil
  • Atlas
  • Analyses
  • Documentation
  • Sign in

© 2026 Lanfrica. Tous droits réservés. Tous les droits d'auteur des ressources affichées sur le site Web Lanfrica appartiennent aux détenteurs de droits d'auteur d'origine, sauf indication contraire explicite.

An Attention Based Neural Network for Code Switching Detection: English & Roman Urdu

Domaine:

natural language processing

Type de record:

paper
Créateur:
HusArs
Hôte:avatar
Code-switching is a common phenomenon among people with diverse lingual background and is widely used on the internet for communication purposes. In this paper, we present a Recurrent Neural Network combined with the Attention Model for Language Identification in Code-Switched Data in English and low resource Roman Urdu. The attention model enables the architecture to learn the important features of the languages hence classifying the code switched data. We demonstrated our approach by comparing the results with state of the art models i.e. Hidden Markov Models, Conditional Random Field and Bidirectional LSTM. The models evaluation, using confusion matrix metrics, showed that the attention mechanism provides improved the precision and accuracy as compared to the other models.

Visit

arxiv.org

Tasks

code switchinglanguage identification

Tags

Computation and LanguageArtificial Intelligence

Similaires

Fine-Tuning Large Language Models with QLoRA for Offensive Language Detection in Roman Urdu-English Code-Mixed TextHate Speech Detection in Roman UrduRoman Urdu Phishing SMS Dataset for Smishing Detection ResearchAn image-based convolutional neural network system for road defects detectionFactorized Recurrent Neural Network with Attention for Language Identification and Content DetectionSequence to Sequence Networks for Roman-Urdu to Urdu Transliteration

Fine-Tuning Large Language Models with QLoRA for Offensive Language Detection in Roman Urdu-English Code-Mixed Text

The use of derogatory terms in languages that employ code mixing, such as Roman Urdu, presents chall

Hate Speech Detection in Roman Urdu

Hate speech is a specific type of controversial content that is widely legislated as a crime that mu

Roman Urdu Phishing SMS Dataset for Smishing Detection Research

This dataset contains labeled Roman Urdu/English SMS messages for phishing (smishing) detection rese

An image-based convolutional neural network system for road defects detection

An application of convolutional neural network (CNN) technique for road surface defects detection is

Factorized Recurrent Neural Network with Attention for Language Identification and Content Detection

Language identification and content detection are essential for ensuring effective digital communica

Sequence to Sequence Networks for Roman-Urdu to Urdu Transliteration

Neural Machine Translation models have replaced the conventional phrase based statistical translatio