The Library
CLASSIC-Utterance-Boundary : a chunking-based model of early naturalistic word segmentation
Tools
Tools
Tools
Cabiddu, Francesco, Bott, Lewis, Jones, Gary and Gambi, Chiara (2023) CLASSIC-Utterance-Boundary : a chunking-based model of early naturalistic word segmentation. Language Learning . doi:10.1111/lang.12559 ISSN 0023-8333. (In Press)
|
PDF
Language Learning - 2023 - Cabiddu - CLASSIC Utterance Boundary A Chunking‐Based Model of Early Naturalistic Word.pdf - Published Version - Requires a PDF viewer. Available under License Creative Commons Attribution 4.0. Download (998Kb) | Preview |
|
![[img]](http://wrap.warwick.ac.uk/style/images/fileicons/application_pdf.png) |
PDF
WRAP-CLASSIC-Utterance-Boundary-chunking-based-model-early-naturalistic-word-segmentation-Gambi-2022.pdf - Accepted Version Embargoed item. Restricted access to Repository staff only - Requires a PDF viewer. Download (1424Kb) |
Official URL: https://doi.org/10.1111/lang.12559
Abstract
Word segmentation is a crucial step in children's vocabulary learning. While computational models of word segmentation can capture infants’ performance in small-scale artificial tasks, the examination of early word segmentation in naturalistic settings has been limited by the lack of measures that can relate models’ performance to developmental data. Here, we extended CLASSIC (Chunking Lexical and Sublexical Sequences in Children; Jones et al., 2021), a corpus-trained chunking model that can simulate several memory and phonological and vocabulary learning phenomena to allow it to perform word segmentation using utterance boundary information, and we have named this extended version CLASSIC utterance boundary (CLASSIC-UB). Further, we compared our model to the performance of children on a wide range of new measures, capitalizing on the link between word segmentation and vocabulary learning abilities. We showed that the combination of chunking and utterance-boundary information used by CLASSIC utterance boundary allowed a better prediction of English-learning children's output vocabulary than did other models.
| Item Type: | Journal Article | ||||||
|---|---|---|---|---|---|---|---|
| Alternative Title: | |||||||
| Divisions: | Faculty of Science, Engineering and Medicine > Science > Psychology | ||||||
| Journal or Publication Title: | Language Learning | ||||||
| Publisher: | Wiley-Blackwell Publishing, Inc. | ||||||
| ISSN: | 0023-8333 | ||||||
| Official Date: | 2 February 2023 | ||||||
| Dates: |
|
||||||
| DOI: | 10.1111/lang.12559 | ||||||
| Status: | Peer Reviewed | ||||||
| Publication Status: | In Press | ||||||
| Access rights to Published version: | Open Access (Creative Commons) | ||||||
| Date of first compliant deposit: | 14 December 2022 | ||||||
| Date of first compliant Open Access: | 21 February 2023 | ||||||
| RIOXX Funder/Project Grant: |
|
||||||
| Related URLs: |
Request changes or add full text files to a record
Repository staff actions (login required)
 |
View Item |
Downloads
Downloads per month over past year
