Abstract
We propose a preliminary model of a practical parameter setting procedure that aims at bridging the gap between descriptive and explanatory adequacy. We present a list of questions which can successfully set 94 binary parameters in 69 languages drawn from several di erent families using positive evidence only. Our proposal can be cast within a minimalist model of the language faculty, assuming an underspeci ed universal gram- mar and a rich network of implications among parameters. We argue that the workload of parameter setting can be signi cantly reduced by means of two assumptions: rst by positing that only parameters with a positive value are set; second, by showing that parameters can be set exclusively on the basis of a core subset of positive evidence, which we call the Restricted List. We suggest that a model with these properties quali es as a plausible framework for language acquisition studies, and also lends itself to be applied to closed corpora, such as those available as the sole sources for diachronic studies.
Keywords: learnability, parameter setting, underspeci ed Universal Grammar.
Keywords: learnability, parameter setting, underspeci ed Universal Grammar.
| Original language | English |
|---|---|
| Pages (from-to) | 99–130 |
| Number of pages | 31 |
| Journal | Studi e Saggi Linguistici |
| Volume | 58 |
| Issue number | 2 |
| DOIs | |
| Publication status | Published - 13 Sept 2020 |
Keywords
- Keywords: learnability, parameter setting, underspeci ed Universal Grammar.