Low-Resource Active Learning of Morphological Segmentation
Many Uralic languages have a rich morphological structure, but lack morphological analysis tools needed for efficient language processing. While creating a high-quality morphological analyzer requires a significant amount of expert labor, data-driven approaches may provide sufficient quality for ma...
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| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Linköping University Electronic Press
2016-03-01
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| Series: | Northern European Journal of Language Technology |
| Online Access: | https://nejlt.ep.liu.se/article/view/1662 |
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