ACL RD-TEC 1.0 Summarization of P05-1065

Paper Title:
READING LEVEL ASSESSMENT USING SUPPORT VECTOR MACHINES AND STATISTICAL LANGUAGE MODELS

Authors: Sarah Schwarm and Mari Ostendorf

Other assigned terms:

  • approach
  • bigram
  • bilingual education
  • case
  • corpora
  • data set
  • data sets
  • development set
  • document
  • encyclopedia
  • encyclopedia britannica
  • entropy
  • error rate
  • events
  • experimental results
  • feature
  • feature space
  • flesch-kincaid measure
  • frequency counts
  • genre
  • grid
  • index
  • information gain
  • language model
  • language modeling toolkit
  • language models
  • large corpus
  • likelihood
  • likelihood ratio
  • mapping
  • maximum likelihood estimate
  • measure
  • measures
  • method
  • modeling toolkit
  • n-gram
  • n-gram language model
  • n-gram model
  • n-gram models
  • names
  • natural language
  • opinions
  • parse
  • part-of-speech
  • passage
  • perplexity
  • positive and negative examples
  • precision
  • probabilities
  • probability
  • process
  • queries
  • semantic
  • sentence
  • statistical language model
  • support vector
  • svm model
  • svms
  • syllables
  • syntactic constructions
  • syntactic information
  • syntax
  • tags
  • technique
  • technology
  • test data
  • test set
  • text
  • tokens
  • toolkit
  • topics
  • training
  • training corpus
  • training data
  • training set
  • treebank
  • treebank corpus
  • trees
  • trigram
  • trigram model
  • unigram
  • vocabulary
  • web corpus
  • web pages
  • web site
  • web text
  • word
  • word frequency
  • word lists
  • word sequence
  • word usage
  • words

Extracted Section Types:


This page last edited on 10 May 2017.

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