Labeled Morphological Segmentation with Semi-Markov Models
<|reference_start|>Labeled Morphological Segmentation with Semi-Markov Models: 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.<|reference_end|>
@article{cotterell2024labeled,
    title={Labeled Morphological Segmentation with Semi-Markov Models},
    author={Ryan Cotterell, Thomas M"uller, Alexander Fraser, Hinrich Sch"utze},
    journal={arXiv preprint arXiv:2404.08997},
    year={2024},
    doi={10.18653/v1/K15-1017},
    archivePrefix={arXiv},
    eprint={2404.08997},
    primaryClass={cs.CL}
}