Handling Rare Word Problem using Synthetic Training Data for Sinhala and Tamil Neural Machine Translation (L18-1)
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| Challenge: | Lack of parallel training data influences rare word problem in Neural Machine Translation systems, especially for underresourced languages. |
| Approach: | They propose to use Parts of Speech tagging and morphological analysis as syntactic features to prune generated synthetic sentence pairs that do not adhere to language syntax. |
| Outcome: | The proposed methods show that they can prune sentences that do not adhere to language syntax over Sinhala to Tamil and Tamil to Sinhalak translation systems. |
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