Andere Kunden interessierten sich auch für
![Depression diagnosis using multimodal machine learning]( "Depression diagnosis using multimodal machine learning")
Depression diagnosis using multimodal machine learning29,99 €![Machine Learning Methods in Identification of Encryption Methods]( "Machine Learning Methods in Identification of Encryption Methods")
Machine Learning Methods in Identification of Encryption Methods32,99 €![Observer-II Adventure in semantic neural networks]( "Observer-II Adventure in semantic neural networks")
Observer-II Adventure in semantic neural networks26,99 €![Translating Documentaries]( "Translating Documentaries")
Translating Documentaries38,99 €![The Effect of Graphic Representation on Translation]( "The Effect of Graphic Representation on Translation")
The Effect of Graphic Representation on Translation36,99 €![Immigration policy, comparative law and legal translation]( "Immigration policy, comparative law and legal translation")
Immigration policy, comparative law and legal translation40,99 €![Gender, Culture and Ideology in Translation]( "Gender, Culture and Ideology in Translation")
Gender, Culture and Ideology in Translation38,99 €
Neural Machine Translation uses Artificial Neural Networks such as Transformers, which are the state of the art models that shows promising result over the previous MT models. Several ancient scripts written in the Ge'ez language that needs to be translated are available in Ethiopia and abroad. Currently, youth and researchers are interested to learn and involve in research areas of Ge'ez and Amharic manuscripts. This thesis, therefore, aims to demonstrate the capabilities of deep learning algorithms on MT tasks for those morphologically rich languages. A bi-directional text-based Ge'ez-Amharic MT was tested on two main different deep learning models viz. Seq2Seq with attention, and Transformer.