Vol 8 Issue 1 January 2020-March 2020

Abstract: This paper proposes a series of carefully designed a Ge’ez POS tagging using Hybrid approach. Trigram N tag tagger combined with the human written rule, regular expression and morphological pattern analysis based tagger of Ge’ez part of speech tagger. Ge’ez literature on syntax, morphology and grammar are reviewed to understand the nature of the language and also to identify possible tag sets. Experiments aiming at evaluating the influence of automatic pre-annotated on the manual part-of-speech annotation of a corpus, both from the efficiency and the accuracy points of view, with a specific attention drawn to biases. As a result, 26 broad tag sets were identified and 15,154 words from around 1,305 sentences collected from one genre i.e., Holy bible. Then, those words ware manually tagged by Ge’ez language professionals for training and testing purpose.

The hybrid of TnT with human annotated rule, regex and morphological pattern analysis of Ge’ez language is assumed to perform better than the TnT taggers taken alone. Individual and hybrid experiments have conducted for the three types of taggers namely the TnT tagger, TnT with Regex tagger and Hybrid tagger. The results are 77.87%, 82.23% and 94.32% performances are obtained for TnT tagger, TnT with Regex tagger and Hybrid taggers respectively. Therefore, the performance of Hybrid approach have the best than individual performance. Finally, this paper concludes Hybrid approach have permissive result for Semitic languages.

Keywords: Ge’ez, POS tagger, NLP, TnT, Regex, Hybrid POS tagger.

Title: Ge’ez POS Tagger Using Hybrid Approach

Author: HAGOS GEBREMEDHIN GEBREMESKEL

International Journal of Computer Science and Information Technology Research

ISSN 2348-1196 (print), ISSN 2348-120X (online)

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Abstract: This paper offers a conceptual business model of a Malaysian-based University of the Future, called MyUni, with one of its value proposition in engaging and transforming local and global communities. Globally, labor productivity and unemployment has increased to crisis levels. However, the global economy is growing at a slower rate. Increasing employment opportunities is a must, particularly for young people. This is because, fresh graduates are facing difficulties in finding jobs if they do not have the required skill and competency. The United Nations SDGs (Sustainable Development Goals) is a guideline to provide a shared blueprint for peace and prosperity for the people and the planet. This paper uses the design and system thinking methodology to understand the main problems and propose a business model of University of the Future (UotF) for MyUni in providing humanizing entrepreneurship education to the youth in Bandung, Indonesia. The contribution of this paper is a conceptual and validated business model in BMC and VPC format. The UotF business model for MyUni proposed in this paper will help youth in Bandung, Indonesia to gain the basic knowledge, skills and human values in contributing to the wellbeing and development of the community.

Keywords: Humanizing Education, Job Opportunities, Indonesia, Bandung, Business Model, BMC, VPC, SDG, Entrepreneurship.

Title: A Conceptual Model of “University of the Future” for Enhancing Job Opportunities in Bandung, Indonesia through Humanizing Education

Author: Ramdhan Suseto, Abdul Rahman Bin Ahmad Dahlan

International Journal of Computer Science and Information Technology Research

ISSN 2348-1196 (print), ISSN 2348-120X (online)

Research Publish Journals