Verb Frame Frequency as a Predictor of Verb Bias

Maria Lapata, Frank Keller, Sabine Schulte im Walde

Research output: Contribution to journalArticlepeer-review

Abstract / Description of output

There is considerable evidence showing that the human sentence processor is guided by lexical preferences in resolving syntactic ambiguities. Several types of preferences have been identified, including morphological, syntactic, and semantic ones. However, the literature fails to provide a uniform account of what lexical preferences are and how they should be measured. The present paper provides evidence for the view that lexical preferences are records of prior linguistic experience. We show that a type of lexial syntactic preference, viz., verb biases as measured by norming experiments, can be approximated by verb frame frequencies extracted from a large, balanced corpus using computational learning techniques.
Original languageEnglish
Pages (from-to)419-435
Number of pages17
JournalJournal of Psycholinguistic Research
Volume30
Issue number4
DOIs
Publication statusPublished - 2001

Keywords / Materials (for Non-textual outputs)

  • sentence processing
  • verb bias
  • lexical preferences
  • verb frames
  • chunking

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