Computational cognitive modeling for syntactic acquisition: Approaches that integrate information from multiple places.

IF 1.7 2区 文学 Q1 LINGUISTICS Journal of Child Language Pub Date : 2023-11-01 Epub Date: 2023-06-13 DOI:10.1017/S0305000923000247
Lisa Pearl
{"title":"Computational cognitive modeling for syntactic acquisition: Approaches that integrate information from multiple places.","authors":"Lisa Pearl","doi":"10.1017/S0305000923000247","DOIUrl":null,"url":null,"abstract":"<p><p>Computational cognitive modeling is a tool we can use to evaluate theories of syntactic acquisition. Here, I review several models implementing theories that integrate information from both linguistic and non-linguistic sources to learn different types of syntactic knowledge. Some of these models additionally consider the impact of factors coming from children's developing non-linguistic cognition. I discuss some existing child behavioral work that can inspire future model-building, and conclude by considering more specifically how to build better models of syntactic acquisition.</p>","PeriodicalId":48132,"journal":{"name":"Journal of Child Language","volume":null,"pages":null},"PeriodicalIF":1.7000,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Child Language","FirstCategoryId":"98","ListUrlMain":"https://doi.org/10.1017/S0305000923000247","RegionNum":2,"RegionCategory":"文学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2023/6/13 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"LINGUISTICS","Score":null,"Total":0}
引用次数: 0

Abstract

Computational cognitive modeling is a tool we can use to evaluate theories of syntactic acquisition. Here, I review several models implementing theories that integrate information from both linguistic and non-linguistic sources to learn different types of syntactic knowledge. Some of these models additionally consider the impact of factors coming from children's developing non-linguistic cognition. I discuss some existing child behavioral work that can inspire future model-building, and conclude by considering more specifically how to build better models of syntactic acquisition.

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
句法习得的计算认知建模:整合来自多个地方的信息的方法。
计算认知建模是我们用来评估句法习得理论的工具。在这里,我回顾了几个实现理论的模型,这些模型整合了来自语言和非语言来源的信息,以学习不同类型的句法知识。其中一些模型还考虑了来自儿童非语言认知发展的因素的影响。我讨论了一些现有的儿童行为工作,这些工作可以启发未来的模型构建,并通过更具体地考虑如何构建更好的句法习得模型来结束。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
CiteScore
4.70
自引率
4.50%
发文量
142
期刊介绍: A key publication in the field, Journal of Child Language publishes articles on all aspects of the scientific study of language behaviour in children, the principles which underlie it, and the theories which may account for it. The international range of authors and breadth of coverage allow the journal to forge links between many different areas of research including psychology, linguistics, cognitive science and anthropology. This interdisciplinary approach spans a wide range of interests: phonology, phonetics, morphology, syntax, vocabulary, semantics, pragmatics, sociolinguistics, or any other recognised facet of language study.
期刊最新文献
Living the first years in a pandemic: children's linguistic development and related factors in and out of the COVID-19 lockdowns. Referential transparency of verbs in child-directed input by Japanese and American caregivers Testing the relationship between preferences for infant-directed speech and vocabulary development: A multi-lab study. Syntactic priming as implicit learning in German child language Predictors of sentence recall performance in children with and without DLD: Complexity matters
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1