Data-driven Model Generalizability in Crosslinguistic Low-resource Morphological Segmentation
Common designs of model evaluation typically focus on monolingual settings, where different models are compared according to their performance on a single data set that is assumed to be representative of all possible data for the task at hand. While this may be reasonable for a large data set, this...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
MIT Press Journals
2022
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| Online Access: | View Fulltext in Publisher |