Urdu as Official Language: A Constitutional Mandate Compliance; Challenges; Prospective

Challenges of Urdu Named Entity Recognition: A Scarce Resourced Language

In this study, we present a brief overview of Named Entity Recognition (NER) system, various approaches followed for NER systems and finally NER systems for Urdu language. Urdu language raises several challenges to Natural Language Processing (NLP) largely due to its rich morphology. Research against NER systems in Urdu language is at infancy stage therefore the focus of this study is on challe...

A Review on Urdu Language Parsing

-Natural Language Processing is the multidisciplinary area of Artificial Intelligence, Machine Learning and Computational Linguistic for processing human language automatically. It involves understanding and processing of human language. The way through which we share our contents or feelings have always great importance in understanding and processing of language. Parsing is the most suited ap...

Measuring compliance with a Spanish Government open access mandate

A Speech Recognition System for Urdu Language

This paper investigates use of a machine learnt model for recognition of individually words spoken in Urdu language. Speech samples from many different speakers were utilized for modeling. Original time-domain samples are normalized and pre-processed by applying discrete Fourier transformation for speech feature extraction. In frequency domain, high degree of correlation was found for the same ...

Resources for Urdu Language Processing

Urdu is spoken by more than 100 million speakers. This paper summarizes the corpus and lexical resources being developed for Urdu by the CRULP, in Pakistan.