Predicting lexical proficiency in language learner texts using computational indices

@inproceedings{Crossley2011PredictingLP,
  title={Predicting lexical proficiency in language learner texts using computational indices},
  author={Scott A. Crossley and Tom Salsbury and Danielle S. McNamara and Scott Jarvis},
  year={2011}
}
The authors present a model of lexical proficiency based on lexical indices related to vocabulary size, depth of lexical knowledge, and accessibility to core lexical items. The lexical indices used in this study come from the computational tool Coh-Metrix and include word length scores, lexical diversity values, word frequency counts, hypernymy values, polysemy values, semantic coreferentiality, word meaningfulness, word concreteness, word imagability, and word familiarity. Human raters… CONTINUE READING
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