Introducing Various Semantic Models for Amharic: Experimentation and Evaluation with Multiple Tasks and Datasets

Introducing Various Semantic Models for Amharic: Experimentation and Evaluation with Multiple Tasks and Datasets

The availability of different pre-trained semantic models has enabled the quick development of machine learning components for downstream applications. However, even if texts are abundant for low-resource languages, there are very few semantic models publicly available. Most of the publicly availabl...

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Bibliographic Details
Main Authors: Seid Muhie Yimam, Abinew Ali Ayele, Gopalakrishnan Venkatesh, Ibrahim Gashaw, Chris Biemann
Format: Article
Language:English
Published: MDPI AG 2021-10-01
Series:Future Internet
Subjects:
datasets
neural networks
semantic models
Amharic NLP
low-resource language
text tagging
Online Access:https://www.mdpi.com/1999-5903/13/11/275

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https://www.mdpi.com/1999-5903/13/11/275

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