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.

Improving part-of-speech tagging in Amharic language using deep neural network

Type de record:

paper
Créateur:
SinG.S
Éditeur:
Elsevier BV
Hôte:

Visit

doi.org

Tasks

part of speech tagging

Languages

Amharic

Licenses

https://www.elsevier.com/tdm/userlicense/1.0/https://www.elsevier.com/legal/tdmrep-licensehttp://creativecommons.org/licenses/by-nc-nd/4.0/

Similaires

A part of speech tagger for Yoruba language text using deep neural networkDeep Neural Networks for Part-of-Speech Tagging in Under-Resourced AmazighPart of Speech Tagging for AmharicPart-of-Speech Tagging via Deep Neural Networks for Northern-Ethiopic LanguagesPart of speech tagging for Amharic using conditional random fieldsMethods for Amharic part-of-speech tagging

A part of speech tagger for Yoruba language text using deep neural network

Deep Neural Networks for Part-of-Speech Tagging in Under-Resourced Amazigh

Part of Speech Tagging for Amharic

International audience

Part-of-Speech Tagging via Deep Neural Networks for Northern-Ethiopic Languages

Deep Neural Networks (DNNs) have proven to be especially successful in the area of Natural Language

Part of speech tagging for Amharic using conditional random fields

Methods for Amharic part-of-speech tagging