What does this research mean for the field?

Bayesian multilevel modeling provides a theoretically grounded and viable method for capturing lexical biases in morphosyntactic alternations, as its hierarchical structure parallels the cognitive generalizations proposed by usage-based theory. Novelty: ClaimNovelty.METHODOLOGICAL. Consensus alignment: ConsensusAlignment.NEUTRAL.

What question did this study set out to answer?

To align linguistic usage-based theory with statistical multilevel regression to model lexical biases in alternating syntactic constructions.

September 2, 2026Corpus Linguistics and Linguistic TheoryOpen Access

Modeling lexical biases in morphosyntactic alternations: aligning usage-based theory with multilevel/hierarchical models

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Authors

HHHikaru HottaUniversity of Neuchâtel

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Implication

Statistical modeling study demonstrates Bayesian multilevel regression accurately captures lexical biases in English dative alternations, suggesting closer alignment with usage-based language theory.

Key Points

To align linguistic usage-based theory with statistical multilevel regression to model lexical biases in alternating syntactic constructions.
Formulated a conceptual link connecting exemplar-based cognitive generalization in usage-based linguistics to group-level shrinkage in multilevel models.
Applied a Bayesian multilevel regression case study to the English dative alternation to demonstrate group-level effects structures and prior specifications.
Bayesian multilevel modeling effectively captured both broad structural generalizations and verb-specific preferences without overfitting sparse data.
The shared distributional logic of hierarchical regression was shown to mathematically mirror cognitive mechanisms where speakers infer lexical biases from generalized exemplar categories.

Cite This Study

Hikaru Hotta (2026) studied this question.

synapsesocial.com/papers/6a97e28dc562ede874ec6bad https://doi.org/10.1515/cllt-2026-0013

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Implication

Statistical modeling study demonstrates Bayesian multilevel regression accurately captures lexical biases in English dative alternations, suggesting closer alignment with usage-based language theory.

Modeling lexical biases in morphosyntactic alternations: aligning usage-based theory with multilevel/hierarchical models

Discussion

Member takes

Implication

Key Points

Cite This Study

Modeling lexical biases in morphosyntactic alternations: aligning usage-based theory with multilevel/hierarchical models

Discussion

Member takes

Implication

Key Points

Cite This Study

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Also Consider