alexa Afan Oromo Sense Clustering in Hierarchical and Partitional Techniques | OMICS International | Abstract
ISSN: 2165- 7866

Journal of Information Technology & Software Engineering
Open Access

OMICS International organises 3000+ Global Conferenceseries Events every year across USA, Europe & Asia with support from 1000 more scientific Societies and Publishes 700+ Open Access Journals which contains over 50000 eminent personalities, reputed scientists as editorial board members.

Open Access Journals gaining more Readers and Citations

700 Journals and 15,000,000 Readers Each Journal is getting 25,000+ Readers

This Readership is 10 times more when compared to other Subscription Journals (Source: Google Analytics)

Review Article

Afan Oromo Sense Clustering in Hierarchical and Partitional Techniques

Workineh Tesema*

Department of Information Science, Jimma University, Jimma, 378, Ethiopia

*Corresponding Author:
Workineh Tesema
Department of Information Science
Jimma University, Jimma, 378, Ethiopia
Tel: +2510471112233
E-mail: [email protected]

Received Date: October 17, 2016; Accepted Date: October 25, 2016; Published Date:October 31, 2016

Citation: Tesema W (2016) Afan Oromo Sense Clustering in Hierarchical and Partitional Techniques. J Inform Tech Softw Eng 6:191. doi: 10.4172/2165- 7866.1000191

Copyright: © 2016 Tesema W. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Abstract

This paper presents the sense clustering of multi-sense words in Afan Oromo. The main idea of this work is to cluster contexts which is providing a useful way to discover semantically related senses. The similar contexts of a given senses of target word are clustered using three hierarchical and two partitional clustering. All contexts of related senses are included in the clustering and thus performed over all the contexts in the corpus. The underlying hypothesis is that clustering captures the reflected unity among the contexts and each cluster reveal possible relationships existing among the contexts. As the experiment shows, from the total five clusters, the EM and K-Means clusters which yield significantly higher accuracy than hierarchical (single clustering, complete clustering and average clustering) result. For Afan Oromo, EM and K-means enhance the accuracy of sense clustering than hierarchical clustering algorithms. Each cluster representing a unique sense. Some words have two senses to the five senses. As the result shows an average accuracy of test set was 85.5% which is encouraging with the unsupervised machine learning work. By using this approach, finding the right number of clusters is equivalent to finding the number of senses. The achieved result was encouraging, despite it is less resource requirement.

Keywords

Peer Reviewed Journals
 
Make the best use of Scientific Research and information from our 700 + peer reviewed, Open Access Journals
International Conferences 2018-19
 
Meet Inspiring Speakers and Experts at our 3000+ Global Annual Meetings

Contact Us

Agri & Aquaculture Journals

Dr. Krish

[email protected]

1-702-714-7001Extn: 9040

Biochemistry Journals

Datta A

[email protected]

1-702-714-7001Extn: 9037

Business & Management Journals

Ronald

[email protected]

1-702-714-7001Extn: 9042

Chemistry Journals

Gabriel Shaw

[email protected]

1-702-714-7001Extn: 9040

Clinical Journals

Datta A

[email protected]

1-702-714-7001Extn: 9037

Engineering Journals

James Franklin

[email protected]

1-702-714-7001Extn: 9042

Food & Nutrition Journals

Katie Wilson

[email protected]

1-702-714-7001Extn: 9042

General Science

Andrea Jason

[email protected]

1-702-714-7001Extn: 9043

Genetics & Molecular Biology Journals

Anna Melissa

[email protected]

1-702-714-7001Extn: 9006

Immunology & Microbiology Journals

David Gorantl

[email protected]

1-702-714-7001Extn: 9014

Materials Science Journals

Rachle Green

[email protected]

1-702-714-7001Extn: 9039

Nursing & Health Care Journals

Stephanie Skinner

[email protected]

1-702-714-7001Extn: 9039

Medical Journals

Nimmi Anna

[email protected]

1-702-714-7001Extn: 9038

Neuroscience & Psychology Journals

Nathan T

[email protected]

1-702-714-7001Extn: 9041

Pharmaceutical Sciences Journals

Ann Jose

[email protected]

1-702-714-7001Extn: 9007

Social & Political Science Journals

Steve Harry

[email protected]

1-702-714-7001Extn: 9042

 
© 2008- 2018 OMICS International - Open Access Publisher. Best viewed in Mozilla Firefox | Google Chrome | Above IE 7.0 version