Browsing by Author "Mekonnen, Solomon"

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    The Integration of Information Communication Technologies in Promoting the Teaching-Learning Process: College of Business and Economic, Addis Ababa University in Focus
    (Addis Ababa University, 2015-06) Mekonnen, Solomon; Abera, Berhanu (PhD)
    This study was designed to assess the overall integration of lCTs in the College of Business and Economics in AA U It aimed to find out whether or not lCTs based instruction was practiced as per benefit of technology Specifically. the study examined the current status of lCTs in the teaching learning process of the College. attitude of instructors to accept and integrate lCTs in their activities and the challenges of instructors to use lCTs in their profession. Both primary and secondary data were gathered using four different instruments namely; questionnaire. interview, observation and documentary source. Quantitative and qualitative techniques were employed to analyze the data obtained. The attitude of instructors to wards to ICTs integration in the teaching learning process has been measured and the result has discussed. The participants believed and affirmed that lCT empowers the professional level of comfort in their activities. All respondents have justified the importance of ICTs in their academic excellence adding value. The results of the study revealed that the current situation of lCTs integration in the teaching learning process in the CBE is at the initial stage. Based on the results recommendations were forwarded among; Distribute Laptop to all instructors without discrimination. Many instructors were not benefiting lCTs as part of the teaching learning process. On the other hand, there are some instructors with adequate level of lCTs use. Regarding training. no ICTs. especially computer based training has been facilitated so far in the College for the purpose of teaching learning activities to the instructors. Keywords: lCTs, integratioll of ICTs, instrllctionaltec/tnology, conventional illstrllctioll
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    Word Sense Disambiguation for Amharic Text: a Machine Learning Approach
    (Addis Ababa University, 2010-06-09) Mekonnen, Solomon; Mulugeta, Wondwossen (Ato)
    The theme of this thesis is Word Sense Disambiguation (WSD) for Amharic which addresses the problem of automatically deciding the correct sense of an ambiguous word based on its surrounding context. WSD is essential for many applications like Machine Translation and Information Retrieval. For the purposes of this research, we report experiments on five selected Amharic ambiguous words. A corpus based approach to disambiguation is used, where machine learning techniques are applied to a corpus of Amharic sentences so as to acquire disambiguation information automatically. A total of 1045 English sense examples for the five ambiguous words are collected from British National Corpus (BNC) and the sense examples are translated to Amharic using dictionary. The sense examples are manually annotated and preprocessed to make it ready for experiment. Corpus based approach suffers from the so-called knowledge acquisition bottleneck. It needs large quantities of sense examples to learn disambiguation rules .This is very challenging for linguistic resource-deficient languages like Amharic. Naive-Bayes classifier is employed from Weka 3.62 package in both the training and testing phases to perform the supervised learning on the preprocessed dataset using 10-fold cross-validation. We have evaluated the classifiers for the five ambiguous words and achieved accuracy within the range of 70% to 83% which is very encouraging but further experiments for other ambiguous words and using different approaches needs to be conducted.