ACL RD-TEC 1.0 Summarization of W03-1728
Paper Title:
CHINESE WORD SEGMENTATION AS LMR TAGGING
CHINESE WORD SEGMENTATION AS LMR TAGGING
Authors: Nianwen Xue and Libin Shen
Primarily assigned technology terms:
- algorithm
- chinese language processing
- chinese word segmentation
- chunking
- conditional random fields
- crfs
- identification
- language processing
- learner
- learning
- learning algorithms
- lmr tagging
- machine learning
- machine learning algorithms
- machine-learning
- markov model
- maximum entropy
- memm tagger
- normalization
- np chunking
- pairwise voting
- pos-tagging
- processing
- segmentation
- segmenter
- tagger
- taggers
- tagging
- text chunking
- training process
- transformation-based learning
- voting
- word identification
- word segmentation
Other assigned terms:
- affixes
- approach
- bias
- characters
- chinese characters
- chinese language
- chinese text
- chinese word
- chinese words
- city university corpus
- community
- contextual information
- development set
- english text
- entropy
- entropy markov model
- f-score
- fact
- feature
- feature set
- generative models
- joint probability
- language processing task
- likelihood
- model parameters
- morphemes
- probability
- probability model
- process
- sentence
- sentences
- sinica corpus
- stems
- suffixes
- tagging problem
- tags
- test data
- text
- training
- training data
- transformation
- word
- words
