Areesha-Tahir/Urdu-Poetry-Generation-Using-N-Grams-BackwardBigram-BidirectionalBigram-In-Python

Generating Urdu poetry using SpaCy in Python. Poetry has been generated by using Uni-grams, Bi-grams, Tri-grams and through Bidirectional Bigram Model and Backward Bigram model.

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If you enjoy creative writing and want to explore AI-assisted poetry, this tool helps generate new Urdu poetry. You provide existing Urdu poetry as input, and it learns from the patterns to produce original verses. This is perfect for poets, writers, or students of Urdu literature looking for inspiration or experimenting with AI-driven creativity.

No commits in the last 6 months.

Use this if you have a collection of Urdu poetry and want to generate new, algorithmically inspired verses based on its style and structure.

Not ideal if you need a tool that understands poetic nuance or generates poetry reflecting specific complex emotions or narratives beyond simple probabilistic word sequences.

Urdu-literature poetry-writing creative-writing language-generation text-synthesis
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 4 / 25
Maturity 16 / 25
Community 13 / 25

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Language

Jupyter Notebook

License

MIT

Last pushed

Mar 29, 2022

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