Natural Language Processing is a field of Artificial Intelligence that aims to combine the power of linguistics and computer science to study the rules and structure of language and create intelligent systems which are capable of understanding, analyzing, and extracting meaning from text and speech.It is the driving force behind things like virtual assistants, speech recognition, sentiment analysis, automatic text summarization, part of speech tagging, named entity recognition, machine translation and much more.
Ongoing Projects
Team Members
Publications
Tayyaba Fatima, Raees Ul Islam, Muhammad Waqas Anwar (2018) "Morphological and Orthographic Challenges in Urdu Language Processing: A Review", 11th edition of the Language Resources and Evaluation Conference, pp: 44-51, Standard: 979-10-95546-24-5
Rani, S., & Anwar, W. (2020, December). Resource Creation and Evaluation of Aspect Based Sentiment Analysis in Urdu. In Proceedings of the 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing: Student Research Workshop (pp. 79-84).
Din, U. M. U., Anwar, M. W., & Mallah, G. A. (2019, November). Maximum Entropy Based Urdu Part of Speech Tagging. In International Conference on Intelligent Technologies and Applications (pp. 484-492). Springer, Singapore.