edoost/pert
Persian Ezafe Recognition Using Transformers and Its Role in Part-Of-Speech Tagging
This project helps natural language processing researchers and computational linguists analyze Persian text more accurately. It takes raw Persian text and identifies 'ezafe' constructions, which are a key grammatical feature, helping to correctly tag parts of speech. This improves the foundational understanding of how words function in Persian sentences.
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Use this if you are a researcher or developer working on advanced Persian text analysis and need to improve part-of-speech tagging accuracy by specifically recognizing ezafe constructions.
Not ideal if you need a general-purpose Persian text analysis tool for end-users, or if your focus is not on detailed grammatical parsing.
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Nov 15, 2021
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