ACL RD-TEC 1.0 Summarization of P06-3005
Paper Title:
MODELING HUMAN SENTENCE PROCESSING DATA WITH A STATISTICAL PARTS-OF-SPEECH TAGGER
MODELING HUMAN SENTENCE PROCESSING DATA WITH A STATISTICAL PARTS-OF-SPEECH TAGGER
Primarily assigned technology terms:
- algorithm
- ambiguity resolution
- approximation
- category disambiguation
- comparative processing
- computational linguistics
- disambiguation
- encoding
- finite state
- finite state machine
- finite state machines
- hidden markov
- hidden markov model
- human sentence processing
- lexical ambiguity resolution
- lexical category ambiguity
- markov model
- model training
- model training and testing
- modeling
- parser
- part-of-speech tagger
- pos tagger
- pos tagging
- processing
- re-ranking
- reading
- repair
- sentence processing
- statistical parser
- supervised training
- tagger
- tagging
- tagging system
- viterbi
- viterbi algorithm
Other assigned terms:
- ambiguity
- ambiguity type
- ambiguous word
- association for computational linguistics
- attachment ambiguity
- bigram
- boundary ambiguity
- break
- british english
- british national corpus
- case
- clausal boundary ambiguity
- cognitive
- computational model
- conditional probabilities
- conditional probability
- corpora
- disambiguating word
- distribution
- events
- finite state model
- hypotheses
- hypothesis
- implementation
- interpretation
- joint probability
- knowledge
- large corpora
- lexical ambiguity
- lexical categories
- lexical category
- linguistics
- measures
- method
- model parameters
- parse
- part-of-speech
- parts-of-speech
- perspective shifting
- pos sequence
- pp attachment
- predictive power
- preposition
- probabilities
- probability
- probability distribution
- process
- psycholinguistics
- sentence
- sentences
- structural information
- syntactic ambiguity
- tags
- technology
- terms
- test material
- theories
- tokens
- training
- transition probability
- verb
- viterbi path
- word
- word frequency
- word sequence
- word string
- word strings
- words
