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

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

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