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
|
|
|
|
Abstract:
P. Bloom’s (1990) data on subject omission are often taken as strong support for the view that child language can be explained in terms of full competence coupled with processing limitations in production. This paper examines whether processing limitations in learning may provide a more parsimonious explanation of the data without the need to assume full competence. We extended P. Bloom’s study by using a larger sample (12 children) and measuring subject-omission phenomena in three developmental phases. The results revealed a Verb Phrase-length effect consistent with that reported by P. Bloom. However, contrary to the predictions of the processing limitations account, the proportion of overt subjects that were pronominal increased with developmental phase. The data were simulated with MOSAIC, a computational model that learns to produce progressively longer utterances as a function of training. MOSAIC was able to capture all of the effects reported by P. Bloom through a resource-limited distributional analysis of child-directed speech. Since MOSAIC does not have any built-in linguistic knowledge, these results show that the phenomena identified by P. Bloom do not constitute evidence for underlying competence on the part of the child. They also underline the need to develop more empirically grounded models of the way that processing limitations in learning might influence the language acquisition process.
|
|
Keyword:
child language; computational modelling; distributional analysis; MOSAIC; processing limitations; subject omission
|
|
URL: http://bura.brunel.ac.uk/handle/2438/718
|
|
BASE
|
|
Hide 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
|
|
|
|
BASE
|
|
Show 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
|
|
|
|