Fernando C Alves
Biographic Data
| ID | 3844440 |
|---|---|
| NAME | Fernando C Alves |
| GIVEN NAMES | Fernando C |
| FAMILY NAME | Alves |
| SIGNATURE | ALVES F C |
| AFFILIATIONS | Universidade Federal da Paraíba |
| ORCID | 0000-0002-0455-9536 |
| VERIFIED | Yes |
| TOTAL WORKS | 1 |
| TOTAL CITATIONS | 1 |
| WORKS AS AUTHOR | 1 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2023 |
| LATEST PUBLICATION YEAR | 2023 |
| H-INDEX | 1 |
Categorical versus gradient grammar in phonotactics
Within the past 2 decades, probabilistic grammars have been put forward in the study of phonotactics as a necessary device to model gradient acceptability of lexical forms. This implicitly suggests that categorical grammars cannot even in principle account for such gradience. Most importantly, influential research has proposed that grammatical forms described by categorical grammars could be simply understood as by-products of probabilistic thres…
Categorical versus gradient grammar in phonotactics
Within the past 2 decades, probabilistic grammars have been put forward in the study of phonotactics as a necessary device to model gradient acceptability of lexical forms. This implicitly suggests that categorical grammars cannot even in principle account for such gradience. Most importantly, influential research has proposed that grammatical forms described by categorical grammars could be simply understood as by-products of probabilistic thres…
Categorical versus gradient grammar in phonotactics
Within the past 2 decades, probabilistic grammars have been put forward in the study of phonotactics as a necessary device to model gradient acceptability of lexical forms. This implicitly suggests that categorical grammars cannot even in principle account for such gradience. Most importantly, influential research has proposed that grammatical forms described by categorical grammars could be simply understood as by-products of probabilistic thres…
Artificial Intelligence (1 work) · Axiom (1 work) · Categorical variable (1 work) · Computer Science (1 work) · Context-free grammar (1 work) · Definite clause grammar (1 work) · Grammar (1 work) · L-attributed grammar (1 work) · Linguistics (1 work) · Machine learning (1 work)