ACL RD-TEC 1.0 Summarization of P97-1022
Paper Title:
FERTILITY MODELS FOR STATISTICAL NATURAL LANGUAGE UNDERSTANDING
FERTILITY MODELS FOR STATISTICAL NATURAL LANGUAGE UNDERSTANDING
Authors: Stephen Della Pietra and Mark Epstein and Salim Roukos and Todd Ward
Primarily assigned technology terms:
- algorithm
- approximation
- atis
- baum-welch algorithm
- clump generation
- database
- decision trees
- decoder
- decoding
- dynamic programming
- em algorithm
- factorization
- ibm translation
- language understanding
- likelihood estimate
- machine translation
- maximum likelihood
- modeling
- natural language understanding
- nlu
- pattern matcher
- polynomial time training
- recognition
- segmentation
- speech recognition
- supervised training
- training algorithm
- translation systems
- translators
- unsupervised training
- viterbi
- viterbi algorithm
- viterbi decoding
Other assigned terms:
- alignment probability
- annotated corpus
- bigram
- bigram language model
- bigram model
- bilingual corpus
- bilingual training corpus
- case
- coefficient
- concept
- concepts
- distribution
- document
- english sentence
- english text
- english translation
- error rate
- formal language
- french
- generation
- intention
- interpolation
- interpretation
- joint distribution
- joint probability
- knowledge
- labeling
- language expression
- language model
- language models
- language pair
- likelihood
- linguistic
- linguistic knowledge
- linguistic phenomenon
- mapping
- maximum likelihood estimate
- meaning
- model parameters
- n-gram
- natural language
- natural language expression
- phrase
- poisson distribution
- polynomial time
- priori
- probabilities
- probability
- probability distribution
- probability model
- query
- representations
- semantic
- semantic meaning
- semantic representation
- semantic structure
- sentence
- sentences
- sql query
- statistical natural language
- suffixes
- technologies
- terms
- test set
- text
- time expressions
- training
- training corpus
- training data
- training set
- translation model
- translation models
- translation probabilities
- translation probability
- translations
- trees
- unannotated corpus
- understanding
- uniform probability
- unigram
- unigram model
- unigram probability
- user
- word
- words
