Logo Lanfrica
  • Accueil
  • Atlas
  • Analyses
  • Documentation
  • Sign in

© 2026 Lanfrica. Tous droits réservés. Tous les droits d'auteur des ressources affichées sur le site Web Lanfrica appartiennent aux détenteurs de droits d'auteur d'origine, sauf indication contraire explicite.

Advancing Amharic Information Retrieval: A Comparative Analysis of Traditional, Neural, and Transformer-Based Models

Type de record:

paper
Créateur:
TilMonJosYar
Éditeur:
IEEE
Hôte:

Visit

doi.org

Tasks

information retrieval

Languages

Amharic

Licenses

https://doi.org/10.15223/policy-029https://doi.org/10.15223/policy-037

Similaires

Advancing Wolof-French Sentence Translation: Comparative Analysis of Transformer-Based Models and Methodological InsightsTRANSFORMER-BASED SPAM DETECTION FOR UZBEK LANGUAGE: A COMPARATIVE STUDY WITH TRADITIONAL MACHINE LEARNING MODELSDictionary-Based Amharic – English Information RetrievalDictionary-Based Amharic-French Information RetrievalDevelopment of a Transformer-Based Model for Amharic to English Neural Machine TranslationDictionary Based Amharic-Arabic Cross Language Information Retrieval

Advancing Wolof-French Sentence Translation: Comparative Analysis of Transformer-Based Models and Methodological Insights

TRANSFORMER-BASED SPAM DETECTION FOR UZBEK LANGUAGE: A COMPARATIVE STUDY WITH TRADITIONAL MACHINE LEARNING MODELS

Spam detection remains a critical challenge in natural language processing, particularly for low-res

Dictionary-Based Amharic – English Information Retrieval

Dictionary-Based Amharic-French Information Retrieval

Development of a Transformer-Based Model for Amharic to English Neural Machine Translation

Dictionary Based Amharic-Arabic Cross Language Information Retrieval