Introduction
Current issues in optimality theoretic syntax
Bibliographic Data
| ID | 10291833 |
|---|---|
| Authors | Peter Ackema (University of Edinburgh), Helen De Hoop (0000-0001-8652-1146, Radboud University Nijmegen) |
| Year | 2006 |
| Volume | 44 |
| Issue | 5 |
| Publication date | 2006-01-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Linguistics (JOURNAL) |
| Journal identifiers | ISSN: 0024-3949 • E-ISSN: 1613-396X |
| Publisher | Walter de Gruyter GmbH (PUBLISHER • DE) |
| DOI | 10.1515/ling.2006.028 |
| OpenAlex | W2027937255 |
| Language | EN |
| References cited | 4 |
1. Introduction to OT syntax General tendencies that hold in or across languages are easy to find. For example, sentences in English usually have a subject. The subject often is the first element in the sentence. In many cases, the subject is the agent of the action expressed by the verb. Crucially, these statements are mere tendencies, not absolute laws. It is very difficult to find observable properties that hold without exception across languages. If we were to formulate these general statements as rules, these rules would often have to be broken because of a number of exceptions. In standard generative syntax, constraints are assumed to be inviolable, i.e., they must be satisfied in a grammatical sentence. In order to “save” generalizations (rules) from apparent violations (counterexamples) in the linguistic data, generally three strategies are applied: 1. assume empty structure to satisfy the constraint (invisibly); 2. assume an abstract level at which the constraint is satisfied (invisibly); 3. modify the constraint, making it less general, so that it is satisfied by the data
Action (physics) · Constraint (computer-aided design) · Counterexample · Discrete mathematics · Generative grammar · Linguistics · Sentence · Subject (documents) · Syntax · Verb · Artificial Intelligence · Computer Science · Mathematics · Natural Language Processing Techniques · Philosophy · Phonetics and Phonology Research · Syntax, Semantics, Linguistic Variation
| Highly cited | No |
|---|