Papers with IGT2P
IGT2P: From Interlinear Glossed Texts to Paradigms (2020.emnlp-main)
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| Challenge: | Existing systems for learning morphology have limited their use to languages with publicly available structured data, such as online dictionaries like Wiktionary. |
| Approach: | They propose a task that generates entire morphological paradigms from IGT input and a language expert cleaning noisy IGT data. |
| Outcome: | The proposed task speeds up the process and generates entire morphological paradigm tables from IGT input. |