ACL RD-TEC 1.0 Summarization of W04-1105
Paper Title:
AN ENHANCED MODEL FOR CHINESE WORD SEGMENTATION AND PART-OF-SPEECH TAGGING
AN ENHANCED MODEL FOR CHINESE WORD SEGMENTATION AND PART-OF-SPEECH TAGGING
Authors: Feng Jiang and Hui Liu and Yuquan Chen and Ruzhan Lu
Primarily assigned technology terms:
- algorithm
- analyzer
- chinese human name recognition
- chinese named entity recognition
- chinese word segmentation
- disambiguation
- dynamic programming
- entity recognition
- feature extraction
- hidden markov
- hidden markov model
- human language
- human name recognition
- language processing
- learning
- learning algorithm
- lexical analysis
- machine learning
- markov model
- name entity recognition
- name recognition
- named entity recognition
- natural language processing
- part-of-speech tagging
- pos tagging
- probabilistic method
- processing
- recognition
- segmentation
- segmentation and pos tagging
- smoothing
- tagging
- tagging system
- validation
- word segmentation
- word segmentation and pos tagging
Other assigned terms:
- ambiguity
- approach
- characters
- chinese lexical
- chinese text
- chinese word
- chunks
- computational complexity
- conditional probability
- data sparseness
- fact
- feature
- formal description
- grammar
- human processing
- input string
- large corpus
- meaning
- method
- n-gram
- name entity
- named entity
- names
- natural language
- organization names
- part-of-speech
- pause
- pauses
- precision
- probabilistic model
- probabilistic models
- probabilities
- probability
- process
- recognition module
- segmentation accuracy
- segments
- sentence
- sentences
- statistic
- statistics
- system architecture
- tagging accuracy
- tagging model
- tags
- testing data
- text
- theory
- training
- training corpus
- transition network
- trigram
- verb
- word
- word frequencies
- word frequency
- word segmentation accuracy
- word sequence
- word tag
- words
