Text Classification Based on Convolutional Neural Networks and Word Embedding for Low-Resource Languages: Tigrinya
This article studies convolutional neural networks for Tigrinya (also referred to as Tigrigna), which is a family of Semitic languages spoken in Eritrea and northern Ethiopia. Tigrinya is a “low-resource” language and is notable in terms of the absence of comprehensive and free data. Furthermore, it...
Main Authors: | , , , , |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2021-01-01
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Series: | Information |
Subjects: | |
Online Access: | https://www.mdpi.com/2078-2489/12/2/52 |