2 |
On the Utility of Conjoint and Compositional Frames and Utterance
|
|
|
|
BASE
|
|
Show details
|
|
3 |
Simulating the referential properties of Dutch, German and English Root Infinitives in MOSAIC
|
|
|
|
BASE
|
|
Show details
|
|
4 |
Does chess need intelligence? – A study with young chess players
|
|
|
|
BASE
|
|
Show details
|
|
7 |
Modelling the developmental patterning of finiteness marking in English, Dutch, German and Spanish using MOSAIC
|
|
|
|
BASE
|
|
Show details
|
|
8 |
Understanding the Developmental Dynamics of Subject Omission: The Role of Processing Limitations in Learning
|
|
|
|
BASE
|
|
Show details
|
|
9 |
Simulating the Noun-Verb Asymmetry in the Productivity of Children’s Speech
|
|
|
|
BASE
|
|
Show details
|
|
10 |
Linking working memory and long-term memory: A computational model of the learning of new words
|
|
Jones, G; Gobet, F; Pine, J M. - : Blackwell Publishing. The definitive version is available at onlinelibrary.wiley.com, 2007
|
|
BASE
|
|
Show details
|
|
11 |
Modelling the Development of Children’s use of Optional Infinitives in Dutch and English using MOSAIC
|
|
|
|
Abstract:
In this study we use a computational model of language learning (MOSAIC) to investigate the extent to which the Optional Infinitive (OI) phenomenon in Dutch and English can be explained in terms of a resource-limited distributional analysis of Dutch and English child-directed speech. The results show that the same version of MOSAIC is able to simulate changes in the pattern of finiteness marking in two children learning Dutch and two children learning English as the average length of their utterances increases. These results suggest that it is possible to explain the key features of the OI phenomenon in both Dutch and English in terms of the interaction between an utterancefinal bias in learning and the distributional characteristics of child-directed speech in the two languages. They also show how computational modelling techniques can be used to investigate the extent to which cross-linguistic similarities in the developmental data can be explained in terms of common processing constraints as opposed to innate knowledge of Universal Grammar.
|
|
Keyword:
acquisition of language; child-directed speech; Computational Modelling; MOSAIC; Optional Infinitives; Syntax Acquisition; Universal Grammar
|
|
URL: http://bura.brunel.ac.uk/handle/2438/731
|
|
BASE
|
|
Hide details
|
|
12 |
Unifying cross-linguistic and within-language patterns of finiteness marking in MOSAIC
|
|
|
|
BASE
|
|
Show details
|
|
13 |
On the resolution of ambiguities in the extraction of syntactic categories through chunking
|
|
|
|
BASE
|
|
Show details
|
|
14 |
Simulating the cross-linguistic development of optional infinitive errors in MOSAIC.
|
|
|
|
BASE
|
|
Show details
|
|
15 |
Simulating optional infinitive errors in child speech through the omission of sentence-internal elements.
|
|
|
|
BASE
|
|
Show details
|
|
16 |
Resolving ambiguities in the extraction of syntactic categories through chunking.
|
|
|
|
BASE
|
|
Show details
|
|
17 |
Simulating the temporal reference of Dutch and English Root Infinitives.
|
|
|
|
BASE
|
|
Show details
|
|
18 |
Modelling syntactic development in a cross-linguistic context
|
|
|
|
BASE
|
|
Show details
|
|
19 |
The role of input size and generativity in simulating language acquisition.
|
|
|
|
BASE
|
|
Show details
|
|
20 |
Modelling children's negation errors using probabilistic learning in MOSAIC.
|
|
|
|
BASE
|
|
Show details
|
|
|
|