Machine learning is the machine translation used in language. A lot of people have been using it and it’s working extremely well for them. It works without delay and is getting better as day passes. Of course, this advancement will change the way the modern world operates because language barriers have been an essential impediment to international commerce since time immemorial. Language is tagged with cultural disposition of people’s ways of life. Without language there will be no existence of the world and the people living within it. The necessity of translation comes into existence because of the migration of people from one country to another. Language translation is the key technology for the in-coming generation of IT and every digital device uses it and is dependence on it. The objective of the paper is to review a machine learning translation of English to Igbo language. The major concept reviewed was machine learning in term of dealing with language translation. Machine learning is a wide and interesting field in computer science. This has been tagged as an awesome professional area for research in demands for translation of languages. Many researchers preferred using supervised learning in doing language translation while few researchers used unsupervised learning in doing language translation.
| Published in | International Journal of Intelligent Information Systems (Volume 10, Issue 5) |
| DOI | 10.11648/j.ijiis.20211005.13 |
| Page(s) | 104-108 |
| Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
| Copyright |
Copyright © The Author(s), 2024. Published by Science Publishing Group |
Machine Learning, Algorithm, Translation, English Language, Igbo Language
| [1] | Abiola O. B, Adetunmbi A. O, Oguntimilehin A (2015) “Review of the Various Approaches to Text to Text Machine Translations” International Journal of Computer Applications. Vol 120 No 18, pp 7-12. ISSN: 0975-8887. |
| [2] | Agbeyangi, A. O., Eludiora, S. I., and Adenekan, D. I. (2015). “English to Yorùbá MachineTranslation System using Rule-Based Approach”. Journal of Multidisciplinary Engineering Science and Technology (JMEST), Vol. 2 Issue 8, August, Nigeria. |
| [3] | Animikh. A. (2021). Machine Learning Algorithms: [With Essentials, Principles, Types and Examples covered]. https://www.knowledgehut.com/blog/data-science. |
| [4] | Banjo, A. E. and Jibowo, A. V (2011) The Use of Principles and Theories of Translation in Languages: A Case Study of Yoruba. Journal of Communication and Culture; International Perspective Vol. 2 No 3. |
| [5] | Chinenyeze C. E, Bennett E. O. and Taylor O. E. (2019) A Natural Language Processing System for English to Igbo Language Translation in Android. International Journal of Computer Science and Mathematical Theory ISSN 2545-5699 Vol. 5 No. 1. www.iiardpub.org |
| [6] | Danladi, S. S. (2013). Language Policy: Nigeria and the Role of English Language in the 21st Century. European Scientific Journal, ESJ, 9 (17). |
| [7] | Gammerschlaag, T. (2000) Deriving Argument Structure in Japanese V-V Compounds. Working Paper of the SFB Theorie Des Lexikons No. 282, University of Düsseldorf. |
| [8] | Goyal, V., and Lehal, G. S. (2010). “Hindi to Punjabi Machine Translation System”. Department of Computer Science, Punjabi University, Patiala, India. |
| [9] | Hana, B. D. (2016). “Amharic to English Language Translator for iOS”. Department of Information Technology, Helsinki Metropolia University, Finland. |
| [10] | Ifeanyi. R. N, Ugwu. C. and Adegbola. T. (2017) “Analysis and Representation of Igbo Text Document for a Text-Based System”. International Journal of Data Mining Techniques and Applications Volume: 06, Issue: 01, Page No. 26-32 ISSN: 2278-2419. |
| [11] | Lina. M. (2018) “Architecture Global Market and Information Technology in the Digital”. Published in Ardet U.S.A. |
| [12] | Mbah, E and Ayegba M.(2012) Tone in Igala Language: An Autosegmental Analysis. Journal of Igbo Language and Lingustics, No. 4 ISSN 05987518, pp 67-75. |
| [13] | Montviloff. V. (2015) Meeting the challenges of language diversity in the information society. World Congress on Language Policies, Bacelon Available: www.linguapax.org/wpcontent. |
| [14] | Odejobi. O. A., Ajayi. A. O, Lukman. A. and Safiriyu. I. E (2015) “A Web Based System for Supporting Teaching and Learning of Nigerian Indigenous Languaage”. Faculty of Technology Conference at Obafemi Awolowo University, Ile-Ife, Nigerian. |
| [15] | Olufemi. D. N., Abimbola. R. I., Isacc. O. E and Olamide. E. O. (2017) “Computational Analysis of Igbo Numeral in a Number-To-Text Conversion System”. Journal of Computer and Education Research Decemeber. Volume 5. Issue 10. |
| [16] | Sangeetha. J, S. and Jothilakshmi, R. N. (2014), “An Efficient Machine Translation System for English to Indian Languages Using Hybrid Mechanism” International Journal of Engineering and Technology (IJET), pp 1909-1919, Vol 6 No 4, ISSN: 0975-4024. |
APA Style
Orji Ifeoma Maryann, Sylvanus Okwudili Anigbogu, Ekwelaro Oluchukwu Uzoamaka, Asogwa Doris Chinedu. (2021). Machine Learning Translation of English into Igbo Language: A Review. International Journal of Intelligent Information Systems, 10(5), 104-108. https://doi.org/10.11648/j.ijiis.20211005.13
ACS Style
Orji Ifeoma Maryann; Sylvanus Okwudili Anigbogu; Ekwelaro Oluchukwu Uzoamaka; Asogwa Doris Chinedu. Machine Learning Translation of English into Igbo Language: A Review. Int. J. Intell. Inf. Syst. 2021, 10(5), 104-108. doi: 10.11648/j.ijiis.20211005.13
AMA Style
Orji Ifeoma Maryann, Sylvanus Okwudili Anigbogu, Ekwelaro Oluchukwu Uzoamaka, Asogwa Doris Chinedu. Machine Learning Translation of English into Igbo Language: A Review. Int J Intell Inf Syst. 2021;10(5):104-108. doi: 10.11648/j.ijiis.20211005.13
Share This Article
Twitter
Linked In
Facebook
Copy
Download@article{10.11648/j.ijiis.20211005.13,
author = {Orji Ifeoma Maryann and Sylvanus Okwudili Anigbogu and Ekwelaro Oluchukwu Uzoamaka and Asogwa Doris Chinedu},
title = {Machine Learning Translation of English into Igbo Language: A Review},
journal = {International Journal of Intelligent Information Systems},
volume = {10},
number = {5},
pages = {104-108},
doi = {10.11648/j.ijiis.20211005.13},
url = {https://doi.org/10.11648/j.ijiis.20211005.13},
eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijiis.20211005.13},
abstract = {Machine learning is the machine translation used in language. A lot of people have been using it and it’s working extremely well for them. It works without delay and is getting better as day passes. Of course, this advancement will change the way the modern world operates because language barriers have been an essential impediment to international commerce since time immemorial. Language is tagged with cultural disposition of people’s ways of life. Without language there will be no existence of the world and the people living within it. The necessity of translation comes into existence because of the migration of people from one country to another. Language translation is the key technology for the in-coming generation of IT and every digital device uses it and is dependence on it. The objective of the paper is to review a machine learning translation of English to Igbo language. The major concept reviewed was machine learning in term of dealing with language translation. Machine learning is a wide and interesting field in computer science. This has been tagged as an awesome professional area for research in demands for translation of languages. Many researchers preferred using supervised learning in doing language translation while few researchers used unsupervised learning in doing language translation.},
year = {2021}
}
TY - JOUR T1 - Machine Learning Translation of English into Igbo Language: A Review AU - Orji Ifeoma Maryann AU - Sylvanus Okwudili Anigbogu AU - Ekwelaro Oluchukwu Uzoamaka AU - Asogwa Doris Chinedu Y1 - 2021/11/12 PY - 2021 N1 - https://doi.org/10.11648/j.ijiis.20211005.13 DO - 10.11648/j.ijiis.20211005.13 T2 - International Journal of Intelligent Information Systems JF - International Journal of Intelligent Information Systems JO - International Journal of Intelligent Information Systems SP - 104 EP - 108 PB - Science Publishing Group SN - 2328-7683 UR - https://doi.org/10.11648/j.ijiis.20211005.13 AB - Machine learning is the machine translation used in language. A lot of people have been using it and it’s working extremely well for them. It works without delay and is getting better as day passes. Of course, this advancement will change the way the modern world operates because language barriers have been an essential impediment to international commerce since time immemorial. Language is tagged with cultural disposition of people’s ways of life. Without language there will be no existence of the world and the people living within it. The necessity of translation comes into existence because of the migration of people from one country to another. Language translation is the key technology for the in-coming generation of IT and every digital device uses it and is dependence on it. The objective of the paper is to review a machine learning translation of English to Igbo language. The major concept reviewed was machine learning in term of dealing with language translation. Machine learning is a wide and interesting field in computer science. This has been tagged as an awesome professional area for research in demands for translation of languages. Many researchers preferred using supervised learning in doing language translation while few researchers used unsupervised learning in doing language translation. VL - 10 IS - 5 ER -
Information
Email: