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Web-inspired Sentence Complexity-Index
Citation key ramirez2010d
Author Ramirez, Juan-Pablo and Raake, Alexander and Sharifi, Ashkan and Ketabdar, Hamed
Title of Book The Fourth IEEE International Conference on Semantic Computing
Year 2010
ISBN 978-0-7695-4154-9
Location Carnegie Mellon University, USA
Address Pittsburgh, PA, USA
Month sep
Publisher IEEE
How Published full
Abstract The intelligibility of speech is conditioned by its semantic complexity. Context is a precious cue in the recognition of words by the auditory system, as proven by the decreased recognition rates of semantically unpredictable sentences. The linguistic features of a test corpus directly impacts on the word recognition scores reported by subjects. An assessment method of the semantic complexity of short sentences is proposed on the base of counting search-results across the World Wide Web. Predictions are successfully compared with the empirical method proposed by Boothroyd et al., 1980, showing that the tool proposed could be used for the design of corpuses with controlled word predictability.
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