ACL RD-TEC 1.0 Summarization of P94-1024
Paper Title:
A MARKOV LANGUAGE LEARNING MODEL FOR FINITE PARAMETER SPACES
A MARKOV LANGUAGE LEARNING MODEL FOR FINITE PARAMETER SPACES
Authors: Partha Niyogi and Robert C. Berwick
Primarily assigned technology terms:
- algorithm
- computational learning
- computational linguistics
- computing
- corpus-based acquisition
- database
- identification
- language acquisition
- language learning
- learner
- learning
- learning algorithm
- learning system
- markov model
- modeling
- parameter learning
- parameter setting
- parameterization
- parser
- partial parser
- random walk
Other assigned terms:
- approach
- case
- child language acquisition
- childes database
- computer program
- convergence
- database language
- derivation
- distribution
- fact
- formalization
- german corpus
- grammar
- grammar hypothesis
- grammars
- hamming distance
- hpsg
- hypotheses
- hypothesis
- knowledge
- language change
- learnability
- learning model
- lexical-functional grammar
- linguistic
- linguistic theories
- linguistics
- local maxima
- local maximum
- markov chain
- mathematical model
- parameter settings
- parameter space
- parameter space learnability
- parameter spaces
- parameter values
- phrase
- probabilistic framework
- probabilities
- probability
- probability distribution
- procedure
- sentence
- sentences
- syntax
- target grammar
- target language
- target languages
- terms
- text
- theorem
- theories
- theory
- transition matrix
- transition probabilities
- transition probability
- uniform distribution
- verb
- words
