Thursday 25th of April 2024
 

Machine Translation Approaches: Issues and Challenges


M.D. Okpor

In the modern world, there is an increased need for language translations owing to the fact that language is an effective medium of communication. The demand for translation has become more in recent years due to increase in the exchange of information between various regions using different regional languages. Accessibility to web document in other languages, for instance, has been a concern for information Professionals. Machine translation (MT), a subfield under Artificial Intelligence, is the application of computers to the task of translating texts from one natural (human) language to another. Many approaches have been used in the recent times to develop an MT system. Each of these approaches has its own advantages and challenges. This paper takes a look at these approaches with the few of identifying their individual features, challenges and the best domain they are best suited to.

Keywords: Machine Translation, Rule-based Approach, Corpus-based Approach, Statistical Approach, Transfer-Based Approach

Download Full-Text


ABOUT THE AUTHOR

M.D. Okpor
Mrs. Margaret Dumebi Okpor has B.Sc and M.Sc degrees in Computer Science from University of Benin, Edo State, Nigeria in the years 1996 and 2012, respectively. She has been involved in teaching Computer Science courses for over 10 years in the Delta State Polytechnic, Ozoro, Delta State, Nigeria. She was Head of Department in the Department of Computer Science in the same institution. She is a member of Computer Professionals of Nigeria (CPN). She has published several papers in local and international journals. Her research interests include machine learning, soft computing, computational linguistics and evolutional computing.


IJCSI Published Papers Indexed By:

 

 

 

 
+++
About IJCSI

IJCSI is a refereed open access international journal for scientific papers dealing in all areas of computer science research...

Learn more »
Join Us
FAQs

Read the most frequently asked questions about IJCSI.

Frequently Asked Questions (FAQs) »
Get in touch

Phone: +230 911 5482
Email: info@ijcsi.org

More contact details »