To compress or not to compress? A Finite-State approach to Nen verbal morphology (2020.acl-srw)
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| Challenge: | a transitive verb takes up to 1,740 unique features and is highly complex, with a morphological complexity of 80.3% . a finite-state approach has been used to build morphology and phonology resources for Nen, an underresourced language in Papua New Guinea. |
| Approach: | They propose to use Finite-State methods to build a verbal morphological parser for an under-resourced Papuan language, Nen. |
| Outcome: | The proposed model is half the size of the full decomposed model, while the 'Chunking' model is under half the scale of the decomposer, with an overall accuracy of 80.3%. |
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