Cory Shain
Biographic Data
| ID | 6560189 |
|---|---|
| NAME | Cory Shain |
| GIVEN NAMES | Cory |
| FAMILY NAME | Shain |
| SIGNATURE | SHAIN C |
| AFFILIATIONS | The Ohio State University |
| ORCID | 0000-0002-2704-7197 |
| VERIFIED | Yes |
| TOTAL WORKS | 5 |
| TOTAL CITATIONS | 5 |
| WORKS AS AUTHOR | 5 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2010 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 1 |
What we mean when we say semantic
Tulving characterized semantic memory as a vast repository of meaning that underlies language and many other cognitive processes. This perspective on lexical and conceptual knowledge galvanized a new era of research undertaken by numerous fields, each with their own idiosyncratic methods and terminology. For example, “concept” has different meanings in philosophy, linguistics, and psychology. As such, many fundamental constructs used to delineate…
Word Frequency and Predictability Dissociate in Naturalistic Reading
Many studies of human language processing have shown that readers slow down at less frequent or less predictable words, but there is debate about whether frequency and predictability effects reflect separable cognitive phenomena: are cognitive operations that retrieve words from the mental lexicon based on sensory cues distinct from those that predict upcoming words based on context? Previous evidence for a frequency-predictability dissociation i…
A Deep Learning Approach to Analyzing Continuous-Time Cognitive Processes
The dynamics of the mind are complex. Mental processes unfold continuously in time and may be sensitive to a myriad of interacting variables, especially in naturalistic settings. But statistical models used to analyze data from cognitive experiments often assume simplistic dynamics. Recent advances in deep learning have yielded startling improvements to simulations of dynamical cognitive processes, including speech comprehension, visual perceptio…
Continuous-time deconvolutional regression for psycholinguistic modeling
The synchrony and diachrony of differential object marking in Paraguayan Guaraní
This paper explores the synchrony and diachrony of differential object marking in Paraguayan Guaraní on the basis of a quantitative study of a corpus of naturally occurring data of the modern language and an investigation of object marking in a 17th-century catechism. We show that both animacy and topicality, but not definiteness, affect whether a direct object is marked in modern Guaraní, a finding that has implications for cross-linguistic theo…
The synchrony and diachrony of differential object marking in Paraguayan Guaraní
This paper explores the synchrony and diachrony of differential object marking in Paraguayan Guaraní on the basis of a quantitative study of a corpus of naturally occurring data of the modern language and an investigation of object marking in a 17th-century catechism. We show that both animacy and topicality, but not definiteness, affect whether a direct object is marked in modern Guaraní, a finding that has implications for cross-linguistic theo…
The synchrony and diachrony of differential object marking in Paraguayan Guaraní
This paper explores the synchrony and diachrony of differential object marking in Paraguayan Guaraní on the basis of a quantitative study of a corpus of naturally occurring data of the modern language and an investigation of object marking in a 17th-century catechism. We show that both animacy and topicality, but not definiteness, affect whether a direct object is marked in modern Guaraní, a finding that has implications for cross-linguistic theo…
Continuous-time deconvolutional regression for psycholinguistic modeling
Word Frequency and Predictability Dissociate in Naturalistic Reading
Many studies of human language processing have shown that readers slow down at less frequent or less predictable words, but there is debate about whether frequency and predictability effects reflect separable cognitive phenomena: are cognitive operations that retrieve words from the mental lexicon based on sensory cues distinct from those that predict upcoming words based on context? Previous evidence for a frequency-predictability dissociation i…
A Deep Learning Approach to Analyzing Continuous-Time Cognitive Processes
The dynamics of the mind are complex. Mental processes unfold continuously in time and may be sensitive to a myriad of interacting variables, especially in naturalistic settings. But statistical models used to analyze data from cognitive experiments often assume simplistic dynamics. Recent advances in deep learning have yielded startling improvements to simulations of dynamical cognitive processes, including speech comprehension, visual perceptio…
What we mean when we say semantic
Tulving characterized semantic memory as a vast repository of meaning that underlies language and many other cognitive processes. This perspective on lexical and conceptual knowledge galvanized a new era of research undertaken by numerous fields, each with their own idiosyncratic methods and terminology. For example, “concept” has different meanings in philosophy, linguistics, and psychology. As such, many fundamental constructs used to delineate…
Computer Science (5 works) · Cognition (4 works) · Neurobiology of Language and Bilingualism (4 works) · Psychology (4 works) · Artificial Intelligence (3 works) · Cognitive psychology (3 works) · Linguistics (3 works) · Machine learning (2 works) · Natural language processing (2 works) · Neural Networks and Applications (2 works)