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International Journal of Scientific and Engineering Research
ISSN Online 2229-5518
ISSN Print: 2229-5518 6    
Website: http://www.ijser.org
scirp IJSER >> Volume 2, Issue 6, June 2011 Edition
Addressing Challenges in Multilingual Machine Translation
Full Text(PDF, 3000)  PP.  
Prof. Rekha Sugandhi, Sayali Charhate, Anurag Dani, Amol Kawade
Machine Learning, Machine Translation (MT), Natural Language Processing (NLP), Word sense disambiguation (WSD), Interlingua, Source Language (SL), Target Language (TL) , Artificial intelligence.
The machine translation process may be unidirectional or bidirectional between a pair of languages. Or it can be multilingual too. A number of software's are developed till date and different advancements are taking place in this field to overcome the language barriers and create borderless marketplace. Still there are many challenges involved in this field of AI which are yet to be overcome. The translation quality of MT systems may be improved by developing better methods as well as by imposing certain restrictions on the input. All sort of challenges peak in case of Multilingual Machine Translation as compared to bilingual one. Paper focuses on long term challenges like High-Quality MT for many more language pairs, training with limited data resources, robustness across domains, genres and language styles, Achieving human-level translation quality and fluency.
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