different. Although a machine translation (MT) model can bridge the gap through translating questions to the language of KB, the …

machine translation engine may not be technically correct. The expected target translation should be as fluent as intended for … the native learners and the meaning of a source e-content should be conveyed properly. A Multi-Engine Machine Translation … solution for the computer science domain e-content. It was possible by enabling the use of well-tested approaches of machine …

The quality of machine translation is rapidly evolving. Today one can find several machine translation systems on the … decrease. A recently proposed approach to this domain is neural machine translation. It aims at building a jointly-tuned single … translation. Recently proposed neural machine translation models often belong to the encoder-decoder family in which a source …

focuses to increase the accuracy of machine translation from Hindi to Tamil by considering the word's sense as well as its …

used by various researchers as an inter-lingual approach for an Automated Machine Translation (AMT) scheme. This article …