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Based on corpus-based segmentation standard, we launched this study. In detail, we regard Chinese word segmentation as a character-based tagging problem. We show that there has been a potent trend of using a character-based tagging approach in this field. In particular, learning from segmented corpus with or without additional linguistic resources is treated in a unified way in which the only difference depends on how the feature template set is selected. It differs from existing work in that both feature template selection and tag set selection are considered in our approach, instead of the previous feature template focus only technique. We show that there is a significant performance difference as different tag sets are selected. This is especially applied to a six-tag set, which is good enough for most current segmented corpora. The linguistic meaning of a tag set is also discussed. Our results show that a simple learning system with six\n            <jats:italic>n<\/jats:italic>\n            -gram feature templates and a six-tag set can obtain competitive performance in the cases of learning only from a training corpus. In cases when additional linguistic resources are available, an ensemble learning technique, assistant segmenter, is proposed and its effectiveness is verified. Assistant segmenter is also proven to be an effective method as segmentation standard adaptation that outperforms existing ones. Based on the proposed approach, our system provides state-of-the-art performance in all 12 corpora of three international Chinese word segmentation bakeoffs.\n          <\/jats:p>","DOI":"10.1145\/1781134.1781135","type":"journal-article","created":{"date-parts":[[2010,6,11]],"date-time":"2010-06-11T18:52:51Z","timestamp":1276282371000},"page":"1-32","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":35,"title":["A Unified Character-Based Tagging Framework for Chinese Word Segmentation"],"prefix":"10.1145","volume":"9","author":[{"given":"Hai","family":"Zhao","sequence":"first","affiliation":[{"name":"Shanghai Jiao Tong University &amp; Soochow University"}]},{"given":"Chang-Ning","family":"Huang","sequence":"additional","affiliation":[{"name":"Microsoft Research Asia"}]},{"given":"Mu","family":"Li","sequence":"additional","affiliation":[{"name":"Microsoft Research Asia"}]},{"given":"Bao-Liang","family":"Lu","sequence":"additional","affiliation":[{"name":"Shanghai Jiao Tong University"}]}],"member":"320","published-online":{"date-parts":[[2010,6]]},"reference":[{"doi-asserted-by":"publisher","key":"e_1_2_1_1_1","DOI":"10.3115\/1119250.1119270"},{"doi-asserted-by":"publisher","key":"e_1_2_1_2_1","DOI":"10.5555\/218355.218367"},{"doi-asserted-by":"publisher","key":"e_1_2_1_3_1","DOI":"10.3115\/1119250.1119271"},{"doi-asserted-by":"publisher","key":"e_1_2_1_4_1","DOI":"10.3115\/1219840.1219842"},{"key":"e_1_2_1_5_1","volume-title":"Proceedings of the 4th SIGHAN Workshop on Chinese Language Processing (SIGHAN\u201905)","author":"Emerson T.","year":"2005","unstructured":"Emerson , T. 2005 . 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