Papers with Multi-source models
Neural Transductive Learning and Beyond: Morphological Generation in the Minimal-Resource Setting (D18-1)
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| Challenge: | Existing lexicons have limited coverage for learning morphological inflection patterns from labeled data. |
| Approach: | They propose two new methods to solve paradigm completion, the morphological task of generating missing forms, given a partial paradigm. |
| Outcome: | The proposed methods outperform the previous state-of-the-art by 9.71% absolute accuracy on a 52-language benchmark dataset. |