Papers with open vocabulary problems
Subword Regularization: Improving Neural Network Translation Models with Multiple Subword Candidates (P18-1)
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| Challenge: | Subword units are an effective way to alleviate the open vocabulary problems in neural machine translation. |
| Approach: | They propose a method to regularize subword segmentations probabilistically by sampling subwords . they also propose 'unigram' language model to be used for better subword sampling . |
| Outcome: | The proposed method improves on low resource and out-of-domain settings with multiple corpora. |