ACL RD-TEC 1.0 Summarization of W06-0137
Paper Title:
CHINESE WORD SEGMENTATION BASED ON AN APPROACH OF MAXIMUM ENTROPY MODELING
CHINESE WORD SEGMENTATION BASED ON AN APPROACH OF MAXIMUM ENTROPY MODELING
Authors: Yan Song and Jiaqing Guo and Dongfeng Cai
Primarily assigned technology terms:
- chinese language processing
- chinese word segmentation
- classification
- classification method
- computational linguistics
- cutoff
- identification
- identification process
- language processing
- markov model
- maximum entropy
- maximum entropy approach
- maximum entropy model
- modeling
- normalization
- processing
- segmentation
- segmentation process
- segmentation system
- simplex classification
- training process
- word identification
- word segmentation
- word segmentation system
- word segmentation task
Other assigned terms:
- approach
- association for computational linguistics
- character sequence
- characters
- chinese characters
- chinese language
- chinese word
- coefficient
- context feature
- distribution
- entropy
- entropy models
- f-measure
- fact
- feature
- gold standard
- input text
- linguistics
- maximum entropy models
- method
- precision
- probability
- probability distribution
- process
- punctuation
- system performance
- tags
- test data
- text
- training
- training corpus
- training data
- word
- word formation
- words
