Papers by Thi-Vinh Ngo
Overcoming the Rare Word Problem for low-resource language pairs in Neural Machine Translation (D19-52)
Copied to clipboard
| Challenge: | Despite above approaches can improve the prediction of rare words, they still have challenges which have adverse effects on its effectiveness. |
| Approach: | They propose three ways to address rare-word problem in neural machine translation systems . they propose an algorithm to learn morphology of unknown words for English in supervised way to minimize adverse effect of rare- word problem. |
| Outcome: | The proposed approaches improve accuracy on two low-resource language pairs. |