arXiv · 2404.08997
Labeled Morphological Segmentation with Semi-Markov Models
Abstract
We present labeled morphological segmentation, an alternative view of morphological processing that unifies several tasks. From an annotation standpoint, we additionally introduce a new hierarchy of morphotactic tagsets. Finally, we develop \modelname, a discriminative morphological segmentation system that, contrary to previous work, explicitly models morphotactics. We show that \textsc{chipmunk} yields improved performance on three tasks for all six languages: (i) morphological segmentation, (ii) stemming and (iii) morphological tag classification. On morphological segmentation, our method shows absolute improvements of 2--6 points $F_1$ over the baseline.
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Ryan Cotterell, Thomas Müller, Alexander Fraser, Hinrich Schütze. 2024-04-13. Labeled Morphological Segmentation with Semi-Markov Models. https://doi.org/10.18653/v1%2Fk15-1017
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