Jennifer B Hay
Biographic Data
| ID | 772535 |
|---|---|
| NAME | Jennifer B Hay |
| GIVEN NAMES | Jennifer B |
| FAMILY NAME | Hay |
| SIGNATURE | HAY J B |
| AFFILIATIONS | University of Canterbury |
| VERIFIED | No |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 3 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2020 |
| LATEST PUBLICATION YEAR | 2020 |
| H-INDEX | 0 |
Morphological convergence as on-line lexical analogy
The English past tense contains pockets of variation, where regular and irregular forms compete (e.g. learned / learnt, weaved / wove ). Individuals vary considerably in the degree to which they prefer irregular forms. This article examines the degree to which individuals may converge on their regularization patterns and preferences. We report on a novel experimental methodology, using a cooperative game involving nonce verbs. Analysis of partici…
Morphological convergence as on-line lexical analogy: Supplementary materials
In this supplementary information, we detail (1) the structure of our nonce verb stimuli, (2) the setup of the Generalized Context Model (GCM) and (3) the Minimal Generalization Learner (MGL), and (4) how these models compare.We illustrate the models using fits on our baseline data.We also discuss model selection in analysing our regression data (5), how the two learning models compare on our baseline data (6), and how they compare on our ESP pos…
Not All Indexical Cues Are Equal: Differential Sensitivity to Dimensions of Indexical Meaning in an Artificial Language
In this study, we investigated the learning of indexical features by English‐speaking adults using a novel experimental paradigm. In a conceptual replication of Rácz, Hay, and Pierrehumbert (2017), participants learned an allomorphy pattern cued by a given social context. The social contexts were represented by conversation partners who differed by age, ethnicity, and/or gender and were positioned in various ways. The results showed that, after t…
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Morphological convergence as on-line lexical analogy
The English past tense contains pockets of variation, where regular and irregular forms compete (e.g. learned / learnt, weaved / wove ). Individuals vary considerably in the degree to which they prefer irregular forms. This article examines the degree to which individuals may converge on their regularization patterns and preferences. We report on a novel experimental methodology, using a cooperative game involving nonce verbs. Analysis of partici…
Morphological convergence as on-line lexical analogy: Supplementary materials
In this supplementary information, we detail (1) the structure of our nonce verb stimuli, (2) the setup of the Generalized Context Model (GCM) and (3) the Minimal Generalization Learner (MGL), and (4) how these models compare.We illustrate the models using fits on our baseline data.We also discuss model selection in analysing our regression data (5), how the two learning models compare on our baseline data (6), and how they compare on our ESP pos…
Not All Indexical Cues Are Equal: Differential Sensitivity to Dimensions of Indexical Meaning in an Artificial Language
In this study, we investigated the learning of indexical features by English‐speaking adults using a novel experimental paradigm. In a conceptual replication of Rácz, Hay, and Pierrehumbert (2017), participants learned an allomorphy pattern cued by a given social context. The social contexts were represented by conversation partners who differed by age, ethnicity, and/or gender and were positioned in various ways. The results showed that, after t…
Linguistics (3 works) · Analogy (2 works) · Categorization, perception, and language (2 works) · Computer Science (2 works) · Mathematics (2 works) · Natural language processing (2 works) · Philosophy (2 works) · Psychology (2 works) · Advanced Text Analysis Techniques (1 works) · Artificial Intelligence (1 works)