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.

Navigating the NLP and text-based conversational AI: a survey for problem formulation in Amharic texts

Type de record:

paper
Créateur:
KinDurMes
Éditeur:
Spr
Hôte:

Visit

doi.org

Languages

Amharic

Licenses

https://creativecommons.org/licenses/by-nc-nd/4.0https://creativecommons.org/licenses/by-nc-nd/4.0

Similaires

tilahun750/Amharic-text-classification-NLPState-of-the-art in Open-domain Conversational AI: A Surveychalachew-mulu/NLP-Amharic-Text-SumAutomatic Amharic Text Summarization using NLP ParserDeep Learning-Based Emotion Classification for Amharic TextsTransformer Based Abstractive Text Summarization for Hausa: A Low Resource NLP Approach

tilahun750/Amharic-text-classification-NLP

Amharic text classification NLP

State-of-the-art in Open-domain Conversational AI: A Survey

We survey SoTA open-domain conversational AI models with the purpose of presenting the prevailing ch

chalachew-mulu/NLP-Amharic-Text-Sum

Etractive Text Summurization for Amharic # NLP-Amharic-Text-Sum Etractive Text Summurization for Am

Automatic Amharic Text Summarization using NLP Parser

Deep Learning-Based Emotion Classification for Amharic Texts

Transformer Based Abstractive Text Summarization for Hausa: A Low Resource NLP Approach

The rapid proliferation of digital text across online platforms has created an urgent need for autom