Nichol Castro
Biographic Data
| ID | 3839422 |
|---|---|
| NAME | Nichol Castro |
| GIVEN NAMES | Nichol |
| FAMILY NAME | Castro |
| SIGNATURE | CASTRO N |
| AFFILIATIONS | University at Buffalo, State University of New York |
| ORCID | 0000-0001-8691-7968 |
| VERIFIED | Yes |
| TOTAL WORKS | 4 |
| TOTAL CITATIONS | 1 |
| WORKS AS AUTHOR | 4 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2018 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 1 |
Limited evidence of morphology in semantic and phonological free association tasks
Free association (e.g., what is the first word that comes to mind when given a cue word) can reveal multiple linguistic relationships between cues and responses, even when a specific association (i.e., semantic, phonological) is intended. In this study, we investigated the influence of morphological similarity on semantic and phonological free association. Previously collected large datasets were used to evaluate morphological similarity between …
Larger lexicons enable representation of fine-grained phonological similarity structure
Native English speakers are sensitive to the small-world structure and community structure of the phonological similarity network of English words. In this study we investigated whether L2 speakers of English are sensitive to the overall similarity structure of the phonological lexicon, and whether this sensitivity is modulated by the size of their L2 vocabulary. Participants with diverse L1s (with English as their L2) completed a phonological si…
Using Network Science and Psycholinguistic Megastudies to Examine the Dimensions of Phonological Similarity
Network science was used to examine different dimensions of phonological similarity in English. Data from a phonological associate task and an identification of words in noise task were used to create a phonological association network and a misperception network. These networks were compared to a network formed by a computational metric widely used to assess phonological similarity (i.e., one-phoneme metric). The phonological association network…
Tip of the Tongue States Increase Under Evaluative Observation
Using Network Science and Psycholinguistic Megastudies to Examine the Dimensions of Phonological Similarity
Network science was used to examine different dimensions of phonological similarity in English. Data from a phonological associate task and an identification of words in noise task were used to create a phonological association network and a misperception network. These networks were compared to a network formed by a computational metric widely used to assess phonological similarity (i.e., one-phoneme metric). The phonological association network…
Tip of the Tongue States Increase Under Evaluative Observation
Using Network Science and Psycholinguistic Megastudies to Examine the Dimensions of Phonological Similarity
Network science was used to examine different dimensions of phonological similarity in English. Data from a phonological associate task and an identification of words in noise task were used to create a phonological association network and a misperception network. These networks were compared to a network formed by a computational metric widely used to assess phonological similarity (i.e., one-phoneme metric). The phonological association network…
Larger lexicons enable representation of fine-grained phonological similarity structure
Native English speakers are sensitive to the small-world structure and community structure of the phonological similarity network of English words. In this study we investigated whether L2 speakers of English are sensitive to the overall similarity structure of the phonological lexicon, and whether this sensitivity is modulated by the size of their L2 vocabulary. Participants with diverse L1s (with English as their L2) completed a phonological si…
Limited evidence of morphology in semantic and phonological free association tasks
Free association (e.g., what is the first word that comes to mind when given a cue word) can reveal multiple linguistic relationships between cues and responses, even when a specific association (i.e., semantic, phonological) is intended. In this study, we investigated the influence of morphological similarity on semantic and phonological free association. Previously collected large datasets were used to evaluate morphological similarity between …
Computer Science (3 works) · Linguistics (3 works) · Psychology (3 works) · Artificial Intelligence (2 works) · Cognition (2 works) · Natural language processing (2 works) · Neurobiology of Language and Bilingualism (2 works) · Phonology (2 works) · Psycholinguistics (2 works) · Advanced Text Analysis Techniques (1 work)