Improving the Performance of Neural Machine Translation Involving Morphologically Rich Languages

7 Dec 2016Krupakar HansR S Milton

The advent of the attention mechanism in neural machine translation models has improved the performance of machine translation systems by enabling selective lookup into the source sentence. In this paper, the efficiencies of translation using bidirectional encoder attention decoder models were studied with respect to translation involving morphologically rich languages... (read more)

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