Viewing morphology as an inference process
SIGIR '93 Proceedings of the 16th annual international ACM SIGIR conference on Research and development in information retrieval
An unsupervised Hindi stemmer with heuristic improvements
Proceedings of the second workshop on Analytics for noisy unstructured text data
Semitic '04 Proceedings of the Workshop on Computational Approaches to Arabic Script-based Languages
Lexicon based sentiment analysis of Urdu text using SentiUnits
MICAI'10 Proceedings of the 9th Mexican international conference on Advances in artificial intelligence: Part I
An iterative stemmer for tamil language
ACIIDS'12 Proceedings of the 4th Asian conference on Intelligent Information and Database Systems - Volume Part III
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Both Inflectional and derivational morphology lead to multiple surface forms of a word. Stemming reduces these forms back to its stem or root, and is a very useful tool for many applications. There has not been any work reported on Urdu stemming. The current work develops an Urdu stemmer or Assas-Band and improves the performance using more precise affix based exception lists, instead of the conventional lexical lookup employed for developing stemmers in other languages. Testing shows an accuracy of 91.2%. Further enhancements are also suggested.