ACL RD-TEC 1.0 Summarization of H92-1028
Paper Title:
PARAMETER ESTIMATION FOR CONSTRAINED CONTEXT-FREE LANGUAGE MODELS
PARAMETER ESTIMATION FOR CONSTRAINED CONTEXT-FREE LANGUAGE MODELS
Authors: Kevin Mark and Michael Miller and Ulf Grenander and Steve Abney
Primarily assigned technology terms:
- algorithm
- approximation
- estimation algorithm
- inside-outside algorithm
- iterative algorithm
- language modeling
- likelihood estimation
- linguistic analysis
- markov random field
- maximum entropy
- maximum likelihood
- maximum likelihood estimation
- modeling
- parameter estimation
- random sampling
- sampling
- trellis-based estimation
Other assigned terms:
- approach
- bigram
- case
- chomsky normal form
- context-free grammar
- context-free grammars
- context-free language
- correlation
- derivation
- derivation tree
- distribution
- entropy
- estimation
- finite set
- generation
- grammar
- grammars
- language model
- language models
- likelihood
- linguistic
- linguistic structure
- mathematics
- measure
- method
- model parameters
- n-gram
- n-gram models
- n-grams
- normal form
- parse
- parse tree
- prior distribution
- probabilities
- probability
- probability distribution
- probability distributions
- process
- proposition
- rewrite rules
- sentences
- statistic
- statistics
- stochastic context-free grammar
- stochastic context-free grammars
- substring
- subtree
- symbol
- symbols
- terms
- text
- theorem
- topology
- training
- training text
- tree
- tree structure
- trees
- word
- word string
- word strings
