Khan, Sadiq and Khan, Khairullah and Khan, Wahab (2018) Supervised Urdu Word Segmentation Model Based on POS Information. EAI Endorsed Transactions on Scalable Information Systems.
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Abstract
Urdu is the national language of Pakistan, also the most widely spoken and understandable language of the globe. In order to accomplish successful Urdu NLP a robust and high-performance NLP tools and resources are utmost necessary. Word segmentation takes on an authoritative role for morphologically
| Item Type: | Article |
|---|---|
| Date Deposited: | 04 Mar 2026 11:36 |
| Last Modified: | 12 Apr 2026 06:51 |
| URI: | http://eprints.eai.eu/id/eprint/19877 |
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