Abstract We fuse two recent strands of work in subregular linguistics—probabilistic tier projections (Mayer, 2021) and tier-based perspectives on movement (Graf, 2022a)—into a probabilistic model of syntax that makes it easy to add gradience to traditional, categorical analyses from the syntactic literature. As a case study, we test this model on experimental data from Sprouse et al. (2016) for a number of island effects in English. We show that the model correctly replicates the superadditive effects and gradience that have been observed in the psycholinguistic literature.
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@InProceedings{TorresEtAl23SCiL,
author = {Torres, Charles and Hanson, Kenneth and Graf, Thomas and Mayer, Connor},
author+an = {1=student;2=sbu},
title = {Modeling Island Effects With Probabilistic Tier-Based Strictly Local Grammars Over Trees},
year = {2023},
booktitle = {Proceedings of the {Society} for {Computation} in
{Linguistics} ({SCiL}) 2023},
pages = {155--164},
doi = {10.7275/nz4q-6b09},
openaccess = {gold},
}