Abstract: In contemporary world, translation becomes a critical need of the time. Parallel dictionaries have now become a most accessible source by humans, but confines are there as they do not offer good quality translation function, because of neologisms and words that are out of vocabulary. To overcome this problem in the usage of statistical translation systems is becoming more and more important in maintaining the eminence and quantity of the training data. But due to the limitations in these systems they have very limited availability for few langu...
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Topics: 
Natural language processing
Artificial intelligence