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Morpheme Segmentaiton On Unimorph 4 0

Metrics

f1 macro avg (subtask 2)
lev dist (subtask 2)
macro avg (subtask 1)

Results

Performance results of various models on this benchmark

Paper TitleRepository
AUUH_B89.773.50-Morfessor-enriched features and multilingual training for canonical morphological segmentation-
AUUH_A89.004.08-Morfessor-enriched features and multilingual training for canonical morphological segmentation-
CLUZH-388.145.58-CLUZH at SIGMORPHON 2022 Shared Tasks on Morpheme Segmentation and Inflection Generation-
CLUZH-287.935.62-CLUZH at SIGMORPHON 2022 Shared Tasks on Morpheme Segmentation and Inflection Generation-
CLUZH-187.685.69-CLUZH at SIGMORPHON 2022 Shared Tasks on Morpheme Segmentation and Inflection Generation-
BiLSTM for seq labelling (Tü_Seg-2)82.074.71-SIGMORPHON 2022 Shared Task on Morpheme Segmentation Submission Description: Sequence Labelling for Word-Level Morpheme Segmentation-
AUUH_E73.2131.05-Morfessor-enriched features and multilingual training for canonical morphological segmentation-
AUUH_D72.7536.38-Morfessor-enriched features and multilingual training for canonical morphological segmentation-
AUUH_C70.7635.94-Morfessor-enriched features and multilingual training for canonical morphological segmentation-
Bidirectional GRU + Morfessor features (AUUH_F)66.7336.3593.72Morfessor-enriched features and multilingual training for canonical morphological segmentation-
Morfessor250.6512.0825.57The SIGMORPHON 2022 Shared Task on Morpheme Segmentation
ULM45.9914.2820.61The SIGMORPHON 2022 Shared Task on Morpheme Segmentation
WordPiece40.5917.5415.89The SIGMORPHON 2022 Shared Task on Morpheme Segmentation
BiLSTM for seq labelling (Tü_Seg-1)--96.06SIGMORPHON 2022 Shared Task on Morpheme Segmentation Submission Description: Sequence Labelling for Word-Level Morpheme Segmentation-
Char LSTM (DeepSPIN-2; soft-attention, 1-5 entmax)--97.15Beyond Characters: Subword-level Morpheme Segmentation-
HMM (JB132; trained w EM)--58.39JB132 submission to the SIGMORPHON 2022 Shared Task 3 on Morphological Segmentation-
Ensemble of hard-attention transducers (CLUZH)--96.85CLUZH at SIGMORPHON 2022 Shared Tasks on Morpheme Segmentation and Inflection Generation-
Subword-ULM transformer (DeepSPIN-3; soft-attention, 1-5 entmax)--97.29Beyond Characters: Subword-level Morpheme Segmentation-
Char LSTM (DeepSPIN-1; soft-attention)--96.32Beyond Characters: Subword-level Morpheme Segmentation-
0 of 19 row(s) selected.
Morpheme Segmentaiton On Unimorph 4 0 | SOTA | HyperAI