ACL RD-TEC 1.0 Summarization of P97-1059
Paper Title:
FINITE STATE TRANSDUCERS APPROXIMATING HIDDEN MARKOV MODELS
FINITE STATE TRANSDUCERS APPROXIMATING HIDDEN MARKOV MODELS
Primarily assigned technology terms:
- algorithm
- approximation
- encoding
- fast matching
- finite state
- finite state transducers
- finite-state transducer
- hidden markov
- hidden markov model
- hidden markov models
- hmm tagger
- hmms
- markov model
- matching
- matching algorithm
- n-type approximation
- parsing
- part-of-speech tagging
- phrase extraction
- probability estimation
- reading
- tagger
- taggers
- tagging
- text analysis
- transducer
- transducers
Other assigned terms:
- case
- class probability
- composition
- empty string
- estimation
- generation
- joint probability
- lexicon
- long-distance dependencies
- markov models
- meaning
- method
- network structure
- noun phrases
- part-of-speech
- phrase
- probabilities
- probability
- regular expressions
- relation
- sentence
- sentences
- stochastic model
- surface form
- symbol
- symbols
- tag sequence
- tagging accuracy
- tags
- text
- training
- training corpus
- transformation
- transition probabilities
- transition probability
- untagged corpus
- word
- words
