Adversarial Multi-Criteria Learning for Chinese Word Segmentation
Table 3: Performance on 3 traditional Chinese datasets. Model-I∗ means that the shared parameters are trained on 5 simplified Chinese datasets and are fixed for traditional Chinese datasets. Here, we conduct Model-I without incorporating adversarial training strategy.
['Models', 'AS', 'CKIP', 'CITYU', 'Avg.']
Traditional Chinese and simplified Chinese are two similar languages with slightly difference on character forms (e.g. multiple traditional characters might map to one simplified character). We investigate that if datasets in traditional Chinese and simplified Chinese could help each other. I on 3 traditional Chinese datasets under the help of 5 simplified Chinese datasets. Specifically, we firstly train the model on simplified Chinese datasets, then we train traditional Chinese datasets independently with shared parameters fixed.