{"title":"Machine Learning Translation of English into Igbo Language: A Review","authors":"Orji Ifeoma Maryann, Sylvanus Okwudili Anigbogu, Ekwelaro Oluchukwu Uzoamaka, Asogwa Doris Chinedu","doi":"10.11648/j.ijiis.20211005.13","DOIUrl":null,"url":null,"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.","PeriodicalId":39658,"journal":{"name":"International Journal of Intelligent Information and Database Systems","volume":"18 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Intelligent Information and Database Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.11648/j.ijiis.20211005.13","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Computer Science","Score":null,"Total":0}
引用次数: 1
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.
期刊介绍:
Intelligent information systems and intelligent database systems are a very dynamically developing field in computer sciences. IJIIDS provides a medium for exchanging scientific research and technological achievements accomplished by the international community. It focuses on research in applications of advanced intelligent technologies for data storing and processing in a wide-ranging context. The issues addressed by IJIIDS involve solutions of real-life problems, in which it is necessary to apply intelligent technologies for achieving effective results. The emphasis of the reported work is on new and original research and technological developments rather than reports on the application of existing technology to different sets of data.