A Bi-directional Ge’ez-Amharic Neural Machine Translation: A Deep Learning Approach

Price: $74.00
(as of Dec 28,2024 10:32:11 UTC – Details)

Publisher ‏ : ‎ LAP LAMBERT Academic Publishing (May 28, 2024)
Language ‏ : ‎ English
Paperback ‏ : ‎ 144 pages
ISBN-10 ‏ : ‎ 6207485890
ISBN-13 ‏ : ‎ 978-6207485895
Item Weight ‏ : ‎ 7.8 ounces
Dimensions ‏ : ‎ 5.91 x 0.33 x 8.66 inches

A Bi-directional Ge’ez-Amharic Neural Machine Translation: A Deep Learning Approach

In recent years, the field of machine translation has seen remarkable advancements thanks to the development of neural machine translation (NMT) models. These models, which are based on deep learning techniques, have proven to be highly effective in translating text between languages. One area where NMT has shown great promise is in translating between Ge’ez and Amharic, two closely related languages spoken in Ethiopia.

Ge’ez is an ancient Semitic language that was once used as the official language of Ethiopia. While it is no longer in widespread use, it still holds significant cultural and historical importance in the country. Amharic, on the other hand, is the official language of Ethiopia and is spoken by millions of people.

Developing a bi-directional NMT system for translating between Ge’ez and Amharic poses several challenges due to the lack of parallel data for training such models. However, recent research has shown that it is possible to overcome this hurdle by leveraging techniques such as back-translation and transfer learning.

By training a deep learning model on a large corpus of Ge’ez and Amharic text, researchers have been able to achieve impressive results in translating between the two languages. The bi-directional nature of the model allows for more accurate and fluent translations, making it a valuable tool for bridging the linguistic gap between Ge’ez and Amharic speakers.

Overall, the development of a bi-directional Ge’ez-Amharic NMT system represents a significant step forward in the field of machine translation. As this technology continues to improve, it has the potential to facilitate communication and foster cultural exchange between speakers of these two important languages.
#Bidirectional #GeezAmharic #Neural #Machine #Translation #Deep #Learning #Approach