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2006 IEEE International Conference on Information Reuse & Integration, 2006
Text chunking is an effective method to decrease the difficulty of natural language parsing. In this paper, a statistical method based on Hidden Markov Model (HMM) is used for Chinese text chunking. Moreover, a transformation based error-driven learning approach is adopted to improve the performance.
PanPan Liao, Ying Liu, Lin Chen
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Text chunking is an effective method to decrease the difficulty of natural language parsing. In this paper, a statistical method based on Hidden Markov Model (HMM) is used for Chinese text chunking. Moreover, a transformation based error-driven learning approach is adopted to improve the performance.
PanPan Liao, Ying Liu, Lin Chen
openaire +1 more source
Modelling Chinese For Text Compression
Data Compression Conference, 2005Summary form only given. We have adapted the PPM model especially for Chinese text and achieve good compression results. We highlighted the importance of pre-processing work for Chinese, as unlike naturally segmented languages such as English, it is not clear what are the most appropriate symbols to use for encoding.
Peiliang Wu, William John Teahan
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