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- W2251416137 abstract "This paper presents our system for the CIPSSIGHAN-2014 bakeoff task of Chinese word segmentation. This system adopts a characterbased joint approach, which combines a character-based generative model and a character-based discriminative model. To further improve the performance in cross-domain, an external dictionary is employed. In addition, pre-processing and post-processing rules are utilized to further improve the performance. The final performance on the test corpus shows that our system achieves comparable results with other state-of-the-art systems." @default.
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- W2251416137 date "2014-01-01" @default.
- W2251416137 modified "2023-09-23" @default.
- W2251416137 title "Word Segmenter for Chinese Micro-blogging Text Segmentation – Report for CIPS-SIGHAN’2014 Bakeoff" @default.
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- W2251416137 doi "https://doi.org/10.3115/v1/w14-6815" @default.
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