Home
Atlas
Insights
Docs
Sign in

© 2026 Lanfrica. All rights reserved. All copyrights of the resources shown on the Lanfrica website belong to the original copyright holders, unless explicitly stated otherwise.

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

Record type:

paper

Creator:

RkiSamLahZou

Publisher:

Int

Host:

Visit

Tasks

part of speech tagging

Languages

Licenses

http://iieta.org/sites/default/files/TEXT%20AND%20DATA%20MINING%20SERVICE%20AGREEMENT.pdf

Similar

Part-of-Speech Tagging via Deep Neural Networks for Northern-Ethiopic LanguagesAmazigh part-of-speech tagging with machine learning and deep learningNeural Networks Architecture for Amazigh POS TaggingToward accurate Amazigh part-of-speech taggingA Distilbert Case-Based Deep Learning Model for Part-of-Speech Tagging for Under-Resourced Kenyan Language: A Case of DholuoPart-of-Speech Tagging for Under-Resourced and Morphologically Rich Languages - The Case of Amharic

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

Amazigh part-of-speech tagging with machine learning and deep learning

Natural language processing (NLP) is a part of artificial intelligence that dissects, comprehends, a

Neural Networks Architecture for Amazigh POS Tagging

Toward accurate Amazigh part-of-speech tagging

Part-of-speech (POS) tagging is the process of assigning to each word in a

A Distilbert Case-Based Deep Learning Model for Part-of-Speech Tagging for Under-Resourced Kenyan Language: A Case of Dholuo

One of the basic Natural Language Processing (NLP) tasks is Part-of-Speech (POS) tagging, which help

Part-of-Speech Tagging for Under-Resourced and Morphologically Rich Languages - The Case of Amharic

International audience no abstract