Cantonese Word Segmentation Comparison

We use the segeval library to calculate Precision, Recall, F1, and Accuracy of various Cantonese segmenters on the HKCanCor and CityU word segmentation corpora.

Results

HKCanCor (16,162 sentences / 153,992 characters)

Segmenter	Precision	Recall	F1	Accuracy
Pycantonese	93.04	87.48	90.18	94.77
Cantoseg	92.63	86.81	89.63	94.53
CyberCan-LTR	83.14	76.26	79.55	89.14
CyberCan-RTL	83.06	76.19	79.48	89.09

CityU (53,019 sentences / 1,456,208 characters)

Segmenter	Precision	Recall	F1	Accuracy
Pycantonese	79.44	83.42	81.38	90.75
Cantoseg	85.58	82.24	83.88	92.78
CyberCan-LTR	79.64	81.46	80.54	90.43
CyberCan-RTL	79.97	81.78	80.87	90.67

CRF Segmenter on 10% randomly selected HKCanCor sentences

CRF-xx% means that the CRF model is trained on xx% of HKCanCor sentences. All models are tested on 10% of randomly selected HKCanCor sentences outside of the training set.

Segmenter	Precision	Recall	F1	Accuracy
CRF-10%	89.91	90.17	90.04	94.11
CRF-20%	91.28	91.48	91.38	94.97
CRF-30%	91.75	91.85	91.80	95.28
CRF-40%	92.19	92.37	92.28	95.55
CRF-50%	92.26	92.48	92.37	95.57
CRF-60%	92.45	92.61	92.53	95.64
CRF-70%	92.61	92.60	92.61	95.67
CRF-80%	92.86	92.81	92.83	95.87
CRF-90%	93.03	93.03	93.03	95.95

Raw Results

Pycantonese
=== data/finetune_hkcancor.json performance ===
{'_': {'precision': 0.930427875815865, 'recall': 0.8747986908410826, 'f1': 0.9017561592759819, 'number': 153992}, 'overall_precision': 0.930427875815865, 'overall_recall': 0.8747986908410826, 'overall_f1': 0.9017561592759819, 'overall_accuracy': 0.9476581289826684}
=== data/finetune_cityu.json performance ===
{'_': {'precision': 0.7944436742039783, 'recall': 0.8342125575467241, 'f1': 0.813842573238576, 'number': 1456208}, 'overall_precision': 0.7944436742039783, 'overall_recall': 0.8342125575467241, 'overall_f1': 0.813842573238576, 'overall_accuracy': 0.9074799890512801}

Cantoseg
=== data/finetune_hkcancor.json performance ===
{'_': {'precision': 0.9263396414687723, 'recall': 0.8681035378461219, 'f1': 0.8962766046603622, 'number': 153992}, 'overall_precision': 0.9263396414687723, 'overall_recall': 0.8681035378461219, 'overall_f1': 0.8962766046603622, 'overall_accuracy': 0.9453274156356153}
=== data/finetune_cityu.json performance ===
{'_': {'precision': 0.8558331862318752, 'recall': 0.8223646621911156, 'f1': 0.8387651905869052, 'number': 1456208}, 'overall_precision': 0.8558331862318752, 'overall_recall': 0.8223646621911156, 'overall_f1': 0.8387651905869052, 'overall_accuracy': 0.9277729754643846}

CyberCan-LTR
=== data/finetune_hkcancor.json performance ===
{'_': {'precision': 0.831404034182225, 'recall': 0.7625720816665801, 'f1': 0.7955018883262486, 'number': 153992}, 'overall_precision': 0.831404034182225, 'overall_recall': 0.7625720816665801, 'overall_f1': 0.7955018883262486, 'overall_accuracy': 0.8913639632044829}
=== data/finetune_cityu.json performance ===
{'_': {'precision': 0.7963653549354226, 'recall': 0.8146315636227791, 'f1': 0.8053949040283223, 'number': 1456208}, 'overall_precision': 0.7963653549354226, 'overall_recall': 0.8146315636227791, 'overall_f1': 0.8053949040283223, 'overall_accuracy': 0.9042656745151905}

CyberCan-RTL
=== data/finetune_hkcancor.json performance ===
{'_': {'precision': 0.8305877855570265, 'recall': 0.7619097095953037, 'f1': 0.7947678415991818, 'number': 153992}, 'overall_precision': 0.8305877855570265, 'overall_recall': 0.7619097095953037, 'overall_f1': 0.7947678415991818, 'overall_accuracy': 0.8908779846767995}
=== data/finetune_cityu.json performance ===
{'_': {'precision': 0.7997499199193082, 'recall': 0.8178268489116939, 'f1': 0.8086873767328697, 'number': 1456208}, 'overall_precision': 0.7997499199193082, 'overall_recall': 0.8178268489116939, 'overall_f1': 0.8086873767328697, 'overall_accuracy': 0.9067382881559977}

Test on 10% of HKCanCor sentences:

CRF-HKCanCor-10%
=== data/hkcancor_test.jsonl performance ===
{'_': {'precision': 0.8991069117266374, 'recall': 0.9016744548286605, 'f1': 0.9003888528839923, 'number': 15408}, 'overall_precision': 0.8991069117266374, 'overall_recall': 0.9016744548286605, 'overall_f1': 0.9003888528839923, 'overall_accuracy': 0.9410593389088012}

CRF-HKCanCor-20%
=== data/hkcancor_test.jsonl performance ===
{'_': {'precision': 0.9128351249838104, 'recall': 0.9148494288681205, 'f1': 0.913841166936791, 'number': 15408}, 'overall_precision': 0.9128351249838104, 'overall_recall': 0.9148494288681205, 'overall_f1': 0.913841166936791, 'overall_accuracy': 0.949721226602947}

CRF-HKCanCor-30%
=== data/hkcancor_test.jsonl performance ===
{'_': {'precision': 0.9175364667747163, 'recall': 0.918548805815161, 'f1': 0.9180423572146726, 'number': 15408}, 'overall_precision': 0.9175364667747163, 'overall_recall': 0.918548805815161, 'overall_f1': 0.9180423572146726, 'overall_accuracy': 0.952757865392274}

CRF-HKCanCor-40%
=== data/hkcancor_test.jsonl performance ===
{'_': {'precision': 0.9219407916045864, 'recall': 0.9236760124610592, 'f1': 0.9228075863186902, 'number': 15408}, 'overall_precision': 0.9219407916045864, 'overall_recall': 0.9236760124610592, 'overall_f1': 0.9228075863186902, 'overall_accuracy': 0.9555455993628037}

CRF-HKCanCor-50%
=== data/hkcancor_test.jsonl performance ===
{'_': {'precision': 0.9225689498899391, 'recall': 0.9248442367601246, 'f1': 0.9237051921955014, 'number': 15408}, 'overall_precision': 0.9225689498899391, 'overall_recall': 0.9248442367601246, 'overall_f1': 0.9237051921955014, 'overall_accuracy': 0.955694942254082}

CRF-HKCanCor-60%
=== data/hkcancor_test.jsonl performance ===
{'_': {'precision': 0.9245221898283122, 'recall': 0.9261422637590861, 'f1': 0.925331517686347, 'number': 15408}, 'overall_precision': 0.9245221898283122, 'overall_recall': 0.9261422637590861, 'overall_f1': 0.925331517686347, 'overall_accuracy': 0.9564416567104739}

CRF-HKCanCor-70%
=== data/hkcancor_test.jsonl performance ===
{'_': {'precision': 0.9261326755809425, 'recall': 0.92601246105919, 'f1': 0.9260725644187707, 'number': 15408}, 'overall_precision': 0.9261326755809425, 'overall_recall': 0.92601246105919, 'overall_f1': 0.9260725644187707, 'overall_accuracy': 0.9566905615292712}

CRF-HKCanCor-80%
=== data/hkcancor_test.jsonl performance ===
{'_': {'precision': 0.9285714285714286, 'recall': 0.9280893042575286, 'f1': 0.9283303038171903, 'number': 15408}, 'overall_precision': 0.9285714285714286, 'overall_recall': 0.9280893042575286, 'overall_f1': 0.9283303038171903, 'overall_accuracy': 0.9586818000796495}

CRF-HKCanCor-90%
=== data/hkcancor_test.jsonl performance ===
{'_': {'precision': 0.9302959501557633, 'recall': 0.9302959501557633, 'f1': 0.9302959501557633, 'number': 15408}, 'overall_precision': 0.9302959501557633, 'overall_recall': 0.9302959501557633, 'overall_f1': 0.9302959501557633, 'overall_accuracy': 0.9594782954998009}