Word sense disambiguation (WSD) plays an important role in different NLP applications
such as information extraction, information retrieval, machine translation, and
lexicography. The manual disambiguation ...
In Ethiopia more than 200 different dialects are spoken in 83 languages, including the Afan
Oromo, Amharic and Tigrigna which have the largest ethnic and linguistic groups (Wimsatt &
Wynn, 2011). ...
Topic clustering is one of the methods to organize comments posted on Online Media Service
(OMS) news. Online news such as social media news has many comments every day. However,
most comments ...
Changing in lifestyle, the perceived impurity of tap water, and the perceived cleanliness of
bottled water can be considered as the cause for the increasing demand of plastic water
bottle users. Bottling companies ...
Amharic is one of the official language of the Federal Democratic Republic of Ethiopia. There are
lots of historic Amharic and Ethiopic written documents addressing various relevant issues
including governance, ...
The Question Answering System (QAS) is a system that allows users to ask natural language
questions about a topic and obtain precise answers from a collection of documents. Many
people utilize internet ...
The innovative techniques of NLP in MWEs have become a very vital area of research in
today’s scenario. Multiword expression (MWE) referred to lexical unit larger than a word
that can allow both idiomatic and compositional ...
Hate speech is a critical problem in Ethiopia and around the world and is disseminated
using different social media platforms. In the world, as social media users increase, hate
speech dissemination increases rapidly ...
A chatbot is a computer program used to interact between humans and computer systems
using natural language processing via speech or text. In this research, we developed
Amharic chatbots that support lawyers ...
Counterfeit money refers to fake or imitation currency that is produced with the idea to
deceive. The advancement of color printing technology has increased the rate of fake
currency note printing and ...
Wind is a renewable energy source that is used to generate electricity. Wind power is one
of the suitable solutions for global warming since it is free from pollution, doesn’t cause
greenhouse effects, and it is a ...
Relation extraction is a very useful task for several natural language processing applications,
such as automatic summarization, knowledge graph development and question answering. An
entity relation defined as a ...
The rib cage fracture is broadly categorized in to two main groups; those are external case
and internal case. The external case occur by direct blow or crash like motor vehicle, car
accident, falling down, and other ...
WCDMA (Wideband Code Division Multiplexing Access is a 3G broadband, packet based transmission of text, voice, video, and multimedia Services. it provides several
bearer services, real-time and non-real-time services, ...
Vehicle accidents are becoming a global public health concern, especially in
Ethiopia. According to a World Health Organization report in 2015, Ethiopia
is one of the 50 countries with the deadliest roads in the world. ...
One of the most serious cyberattacks where investigators are concerned about a
solution is phishing. Phishing is a technique used by attackers to entice end
users and steal their private data. To obtain personal ...
Localization is a topic widely discussed in the field of networking. It can be classified
into indoor and outdoor localization, with indoor localization being particularly
significant for the development of smart cities. ...
The study highlighted the persisting global health crisis of HIV/AIDS and the recent disruptions
caused by economic and humanitarian crises along with the COVID-19 pandemic. These factors
have troubled the established ...
Studying and mapping population mobility pattern in the city dynamically plays a vital
role and has practical applications to urban planning and to plan better transport system.
For long times the city authorities used ...
The existence of an anaphoric term in a text has an impact on different natural language
processing studies like machine translation, semantics analysis, and sentiment analysis. This
study use deep learning and a machine ...