Urdu Language

Urdu, a low-resource language with complex phonetic and morphological features, is a growing focus of natural language processing (NLP) research. Current efforts concentrate on improving the performance of various NLP tasks in Urdu, including keyword spotting, sentiment analysis, fake news detection, and machine translation, leveraging models like transformers, BERT, and support vector machines. These advancements are crucial for bridging the digital divide and enabling broader access to NLP technologies for Urdu speakers, impacting fields such as information retrieval, social media monitoring, and language technology development. The development of large, publicly available datasets is also a key area of ongoing research.