C K Leong
Biographic Data
| ID | 5971684 |
|---|---|
| NAME | C K Leong |
| GIVEN NAMES | C K |
| FAMILY NAME | Leong |
| SIGNATURE | LEONG C K |
| AFFILIATIONS | University of Saskatchewan |
| ORCID | 0009-0008-6238-0842 |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 3 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 1976 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Manipulating language models’ training data to study syntactic constraint learning
Grammatical rules in natural languages are often characterized by exceptions. How do language learners learn these exceptions to otherwise general patterns? Here, we study this question through the case study of English passivization. While passivization is in general quite productive, there are cases where it cannot apply (cf. the following sentence is ungrammatical: *One hour was lasted by the meeting ). Using neural network language models as …
Coding processes in skilled and less skilled readers
Spatial-Temporal Information-Processing in Children with Specific Reading Disability (Abstracted Report)
Purchase a PDF Purchase this article for $46.00 USD. How does it work? Select the purchase option. Check out using a credit card or bank account with PayPal. Read your article online and download the PDF from your email or your account. Log in through your institution
No prominent works on this page.
Spatial-Temporal Information-Processing in Children with Specific Reading Disability (Abstracted Report)
Purchase a PDF Purchase this article for $46.00 USD. How does it work? Select the purchase option. Check out using a credit card or bank account with PayPal. Read your article online and download the PDF from your email or your account. Log in through your institution
Coding processes in skilled and less skilled readers
Manipulating language models’ training data to study syntactic constraint learning
Grammatical rules in natural languages are often characterized by exceptions. How do language learners learn these exceptions to otherwise general patterns? Here, we study this question through the case study of English passivization. While passivization is in general quite productive, there are cases where it cannot apply (cf. the following sentence is ungrammatical: *One hour was lasted by the meeting ). Using neural network language models as …
Cognition (2 works) · Linguistics (2 works) · Psychology (2 works) · Reading and Literacy Development (2 works) · Sociology (2 works) · Actuarial science (1 work) · Advanced Text Analysis Techniques (1 work) · Attention Deficit Hyperactivity Disorder (1 work) · Business (1 work) · Cognitive and developmental aspects of mathematical skills (1 work)