Papers › JB132 submission to the SIGMORPHON 2022 Shared Task 3 on Morphological Segmentation
JB132 submission to the SIGMORPHON 2022 Shared Task 3 on Morphological Segmentation
Jan Bodnár
This paper describes the JB132 submission to the SIGMORPHON 2022 Shared Task 3 on Morpheme Segmentation. In this paper we describe probabilistic model trained with the Expectation-Maximization algorithm, we provide the results and analyze sources of errors and general limitations of our approach. The model was implemented within our own modular probabilistic framework.
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Tasks
Results from the paper archive 2025-07-28
| Task | Dataset | Model | Metric | Value | Rank at snapshot | Leaderboard | Report |
|---|---|---|---|---|---|---|---|
| Morpheme Segmentaiton | UniMorph 4.0 | HMM (JB132; trained w EM) | macro avg (subtask 1) | 58.39 | #7 of 19 | Archive leaderboard | report |
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