Mayfest 2025 - Constraints on Meaning
When and why are certain meanings missing?
Research at our top-ranked department spans syntax, semantics, phonology, language acquisition, computational linguistics, psycholinguistics and neurolinguistics.
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Laurel Perkins (*19)
Language learners use the data in their environment in order to infer the grammatical system that produced that data. Yang (2018) makes the important point that this process requires integrating learners’ experiences with their current linguistic knowledge. A complete theory of language acquisition must explain how learners leverage their developing knowledge in order to draw further inferences on the basis of new data. As Yang and others have argued, the fact that input plays a role in learning is orthogonal to the question of whether language acquisition is primarily knowledge-driven or data-driven (J. A. Fodor, 1966; Lidz & Gagliardi, 2015; Lightfoot, 1991; Wexler & Culicover, 1980). Learning from data is not incompatible with approaches that attribute rich initial linguistic knowledge to the learner. On the contrary, such approaches must still account for how knowledge guides learners in using their data to infer a grammar.
Aaron Steven White (*15)
In English, the distinction between belief verbs, such as think, and desire verbs, such as want, is tracked by tense found in the subordinate clauses of those verbs. This suggests that subordinate clause tense might be a useful cue for learning the meanings of these verbs via syntactic bootstrapping. However, the correlation between tense and the belief v. desire distinction is not cross-linguistically robust; yet the acquisition profile of these verbs is similar cross-linguistically. Our proposal in this chapter is that, instead of using concrete cues like subordinate clause tense, learners may utilize more abstract syntactic cues that must be tuned to the syntactic distinctions present in a particular language. We present computational modeling evidence supporting the viability of this proposal.
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