Papers with inflection
Analogy Models for Neural Word Inflection (2020.coling-main)
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| Challenge: | Neural network models are usually very data-hungry and performance of such models can suffer when labeled data is not available. |
| Approach: | They propose to provide models with additional analogy sources to strengthen analogy-formation . they propose to combine the analogy motivated approach with data hallucination or augmentation . |
| Outcome: | The proposed methods improve on state-of-the-art results on 46 languages, especially in low-resource settings. |