A Review on Machine Translation Approaches

There is need to fill the gap between two entities which use different languages  to communicate which can be done either via human translation or machine translation means. The world has over 7000 living natural languages, thus making it costly if human translation route is taken hence need for mac...

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Main Authors: Kituku, Benson (Author), Muchemi, Lawrence (Author), Nganga, Wanjiku (Author)
Format: EJournal Article
Published: Institute of Advanced Engineering and Science, 2016-01-01.
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042 |a dc 
100 1 0 |a Kituku, Benson  |e author 
700 1 0 |a Muchemi, Lawrence  |e author 
700 1 0 |a Nganga, Wanjiku  |e author 
245 0 0 |a A Review on Machine Translation Approaches 
260 |b Institute of Advanced Engineering and Science,   |c 2016-01-01. 
500 |a https://ijeecs.iaescore.com/index.php/IJEECS/article/view/193 
520 |a There is need to fill the gap between two entities which use different languages  to communicate which can be done either via human translation or machine translation means. The world has over 7000 living natural languages, thus making it costly if human translation route is taken hence need for machine translation. There is need to know the available machine translation approaches and their requirement in order to decide which one suits for particular languages or not, hence the motivation for this survey. The survey provide overview and architectures of the three major techniques available namely: rule based translation, corpus based translation and hybrid based translation plus their subcategories available in each approach. 
540 |a Copyright (c) 2015 TELKOMNIKA Indonesian Journal of Electrical Engineering 
546 |a eng 
690 |a artificial intelligence,natural language processing, Machine translation 
690 |a Hybrid, Multilingual, statistical, Machine translation, Rule-based. 
655 7 |a info:eu-repo/semantics/article  |2 local 
655 7 |a info:eu-repo/semantics/publishedVersion  |2 local 
655 7 |2 local 
786 0 |n Indonesian Journal of Electrical Engineering and Computer Science; Vol 1, No 1: January 2016; 182-190 
786 0 |n 2502-4760 
786 0 |n 2502-4752 
786 0 |n 10.11591/ijeecs.v1.i1 
787 0 |n https://ijeecs.iaescore.com/index.php/IJEECS/article/view/193/4180 
856 4 1 |u https://ijeecs.iaescore.com/index.php/IJEECS/article/view/193/4180  |z Get fulltext