yeshewas/Authorship-Attribution-in-Amharic-Language-Literature-Through-Information-Theory-

Domaine:

natural language processing

Créateur:

yes

Hôte:

# Authorship-Attribution-in-Amharic-Language-Literature-Through-Information-Theory- This study introduced a compression-based authorship attribution method tailored for low-resource languages, using Amharic as a case study. By leveraging conditional compression cost (Ψ(Y|X)) and a slice-based comparison approach, the method accurately identified authorial style in both known and disputed works without the need for linguistic preprocessing.

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yeshewas/Amharic-sentiment-analysis

deep learning approach for amharic sentiment analysis

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Abstract Stylometry, the computational study of writing style, has proven itself

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