ACL RD-TEC 1.0 Summarization of C00-1070
Paper Title:
LEXICALIZED HIDDEN MARKOV MODELS FOR PART-OF-SPEECH TAGGING
LEXICALIZED HIDDEN MARKOV MODELS FOR PART-OF-SPEECH TAGGING
Authors: Sang-Zoo Lee and Jun-ichi Tsujii and Hae-Chang Rim
Primarily assigned technology terms:
- algorithm
- analyzer
- back-off smoothing
- decoding
- error reduction
- hidden markov
- hidden markov models
- hmms
- korean tagging
- likelihood estimate
- likelihood estimation
- maximum likelihood
- maximum likelihood estimation
- morphological analyzer
- parameter estimation
- part-of-speech tagging
- pos tagging
- search
- search algorithm
- smoothing
- smoothing technique
- smoothing techniques
- speech tagging
- taggers
- tagging
- tile
- viterbi
- viterbi search
- viterbi search algorithm
Other assigned terms:
- adjective
- ambiguity
- bigram
- bigram model
- brown corpus
- case
- coefficient
- data sparseness
- data sparseness problem
- dictionary
- estimation
- formalism
- language model
- lattice
- lattice structure
- lexica
- lexical information
- lexicalized model
- likelihood
- markov models
- maximum likelihood estimate
- measure
- method
- morph
- morpheme
- morphemes
- n-gram
- part-of-speech
- perplexity
- perplexity measure
- probabilities
- probability
- pronoun
- sentence
- sparse data
- sparseness problem
- tags
- technique
- term
- terms
- test set
- training
- training set
- trigram
- unigram
- unigram probability
- verb
- vocabulary
- word
- word boundary
- word sequence
- words
