harisbinzia/Urdu-Word-Segmentation
Urdu Word Segmentation using Conditional Random Fields (CRFs)
This tool helps computational linguists and natural language processing researchers to accurately break down written Urdu text into individual words. You input raw Urdu text, and it outputs the text segmented into its constituent words. This is particularly useful for anyone working on Urdu language processing tasks like search, translation, or sentiment analysis.
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Use this if you need a reliable method to programmatically identify word boundaries in Urdu text for further linguistic analysis or processing.
Not ideal if you are looking for a ready-to-use application with a graphical interface, as this requires programming knowledge to implement.
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Jupyter Notebook
License
MIT
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Last pushed
Oct 03, 2018
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