Frequency, acceptability, and selection: A case study of clause-embedding
Aaron Steven White, Kyle Rawlins
Abstract
We investigate the relationship between the frequency with which verbs are found in particular subcategorization frames and the acceptability of those verbs in those frames, focusing in particular on subordinate clause-taking verbs, such as think, want, and tell. We show that verbs’ subcategorization frame frequency distributions are poor predictors of their acceptability in those frames—explaining, at best, less than ⅓ of the total information about acceptability across the lexicon—and, further, that common matrix factorization techniques used to model the acquisition of verbs’ acceptability in subcategorization frames fare only marginally better.
Topics & Concepts
SubcategorizationLexiconNatural language processingComputer scienceFrame (networking)Selection (genetic algorithm)LinguisticsEmbeddingArtificial intelligenceFactorizationCode (set theory)VerbAlgorithmProgramming languagePhilosophyTelecommunicationsSet (abstract data type)Topic ModelingNatural Language Processing TechniquesSpeech and dialogue systems