ACL RD-TEC 1.0 Summarization of W06-0131
Paper Title:
POC-NLW TEMPLATE FOR CHINESE WORD SEGMENTATION
POC-NLW TEMPLATE FOR CHINESE WORD SEGMENTATION
Authors: Bo Chen and Weiran Xu and Tao Peng and Jun Guo
Primarily assigned technology terms:
- character tagging
- chinese language processing
- chinese word segmentation
- computational linguistics
- disambiguation
- disambiguation process
- extraction method
- features extraction
- hidden markov
- hidden markov model
- hmm method
- hmm tagger
- identification
- identification process
- interpolation method
- known word segmentation
- language processing
- learning
- learning techniques
- linear interpolation
- lmr tagging
- machine learning
- machine learning techniques
- markov model
- maximum likelihood
- nlp
- pos tagging
- processing
- segmentation
- segmentation process
- segmentation system
- smoothing
- smoothing techniques
- tagger
- tagging
- tagging method
- unknown word identification
- word identification
- word segmentation
- word segmentation system
- word segmentation task
- words identification
Other assigned terms:
- ambiguity
- ambiguity problem
- association for computational linguistics
- bigram
- case
- character sequence
- characters
- chinese characters
- chinese language
- chinese word
- compounding
- dictionary
- fact
- fmeasure
- harmonious integration strategy
- hmm model
- identification model
- implementation
- interpolation
- language model
- large corpus
- likelihood
- linguistics
- machine-readable dictionary
- mechanisms
- method
- n-gram
- n-gram language model
- n-gram model
- nlp applications
- part-of-speech
- precision
- probabilities
- probability
- process
- segmentation accuracy
- sentence
- statistical model
- statistics
- symbol
- tag set
- tagging problem
- tags
- test data
- training
- training corpus
- transition matrix
- transition probability
- trigram
- word
- word boundaries
- word sequence
- word sequences
- words
