Results 31 to 40 of about 27,375 (244)

AHWR-Net: offline handwritten amharic word recognition using convolutional recurrent neural network

open access: yesSN Applied Sciences, 2021
Amharic ( ) is the official language of the Federal Government of Ethiopia, with more than 27 million speakers. It uses an Ethiopic script, which has 238 core and 27 labialized characters. It is a low-resourced language, and a few attempts have been made
Fetulhak Abdurahman   +2 more
doaj   +1 more source

Fine-Tuning BERT Models for Multiclass Amharic News Document Categorization

open access: yesComplex
Bidirectional encoder representation from transformer (BERT) models are increasingly being employed in the development of natural language processing (NLP) systems, predominantly for English and other European languages.
Demeke Endalie
semanticscholar   +1 more source

Deep learning-based sentiment classification in Amharic using multi-lingual datasets

open access: yesComputer Science and Information Systems, 2023
The analysis of emotions expressed in natural language text, also known as sentiment analysis, is a key application of natural language processing (NLP).
Senait Gebremichael Tesfagergish   +2 more
semanticscholar   +1 more source

Mobile money system design for illiterate users in rural Ethiopia [PDF]

open access: yes, 2014
Current mobile money systems provide users with hierarchical user interface and represent money as a positive rational numbers of the form 1, 3, 4.87.N.
Atnafu, S   +3 more
core   +1 more source

Transformer-Based Amharic-to-English Machine Translation With Character Embedding and Combined Regularization Techniques

open access: yesIEEE Access
Amharic is the working language of Ethiopia and, owing to its Semitic characteristics, the language is known for its complex morphology. It is also an under-resourced language, presenting significant challenges for natural language processing tasks like ...
Surafiel Habib Asefa, Yaregal Assabie
semanticscholar   +1 more source

Amharic political sentiment analysis using deep learning approaches

open access: yesScientific Reports, 2023
This study delves into the realm of sentiment analysis in the Amharic language, focusing on political sentences extracted from social media platforms in Ethiopia. The research employs deep learning techniques, including Convolutional Neural Networks (CNN)
Fikirte Alemayehu   +2 more
semanticscholar   +1 more source

Ideophones and verbal constructions with the verb ‘say’ in Amharic

open access: yesLinguistic Typology at the Crossroads
Amharic (Ethiosemitic) has verbal predicates of two types: (i) verbs derived from a consonantal root and (ii) complex predicates consisting of an invariant coverb followed by an inflecting light verb, most commonly the verb alä ‘say’.
Ronny Meyer
doaj   +1 more source

Reliance on Predicative Units as a Method of Analysing and Translating Amharic Written Texts

open access: yesAethiopica, 2020
In analysing and translating Amharic texts, most foreign students have experienced major problems while trying to ‘redirect’ the rigidly leftbranching syntax of Amharic into the predominantly right-branching syntax of most European languages. The way out
Iosif Fridman
doaj   +1 more source

The analysis of Ethiopian traditional music instrument through indigenous knowledge (kirar, masinko, begena, kebero and washint/flute) [PDF]

open access: yes, 2020
This article aims to explore and analytics about Ethiopian traditional music instrument through indigenous knowledge (kirar, masinko, Begena, kebero and washint/flute).
Sinshaw, Girmaw Ashebir
core  

Handwritten Amharic Character Recognition Through Transfer Learning: Integrating CNN Models and Machine Learning Classifiers

open access: yesIEEE Access
Handwritten Amharic character recognition presents significant challenges due to the script’s syllabic nature and variations in handwriting styles.
Natenaile Asmamaw Shiferaw   +7 more
semanticscholar   +1 more source

Home - About - Disclaimer - Privacy