• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

基于环境限制的语言结构渠化:一种从多个线索进行词汇学习的计算模型

Canalization of Language Structure From Environmental Constraints: A Computational Model of Word Learning From Multiple Cues.

作者信息

Monaghan Padraic

机构信息

Department of Psychology, Lancaster University.

Max Planck Institute for Psycholinguistics.

出版信息

Top Cogn Sci. 2017 Jan;9(1):21-34. doi: 10.1111/tops.12239. Epub 2016 Dec 18.

DOI:10.1111/tops.12239
PMID:27989019
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6849513/
Abstract

There is substantial variation in language experience, yet there is surprising similarity in the language structure acquired. Constraints on language structure may be external modulators that result in this canalization of language structure, or else they may derive from the broader, communicative environment in which language is acquired. In this paper, the latter perspective is tested for its adequacy in explaining robustness of language learning to environmental variation. A computational model of word learning from cross-situational, multimodal information was constructed and tested. Key to the model's robustness was the presence of multiple, individually unreliable information sources to support learning. This "degeneracy" in the language system has a detrimental effect on learning, compared to a noise-free environment, but has a critically important effect on acquisition of a canalized system that is resistant to environmental noise in communication.

摘要

语言经历存在显著差异,但所习得的语言结构却有着惊人的相似性。对语言结构的限制可能是导致语言结构这种固化的外部调节因素,或者它们可能源自更广泛的语言习得交流环境。在本文中,将检验后一种观点在解释语言学习对环境变化的稳健性方面是否充分。构建并测试了一个从跨情境、多模态信息中学习单词的计算模型。该模型稳健性的关键在于存在多个单独不可靠的信息源来支持学习。与无噪声环境相比,语言系统中的这种“简并性”对学习有不利影响,但对获得一个在交流中能抵御环境噪声的固化系统有着至关重要的作用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c64c/6849513/dab6175e14e7/TOPS-9-21-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c64c/6849513/01f62ba5c304/TOPS-9-21-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c64c/6849513/bb8f9a2948fa/TOPS-9-21-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c64c/6849513/ddf8db98568a/TOPS-9-21-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c64c/6849513/fa672c699316/TOPS-9-21-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c64c/6849513/dab6175e14e7/TOPS-9-21-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c64c/6849513/01f62ba5c304/TOPS-9-21-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c64c/6849513/bb8f9a2948fa/TOPS-9-21-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c64c/6849513/ddf8db98568a/TOPS-9-21-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c64c/6849513/fa672c699316/TOPS-9-21-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c64c/6849513/dab6175e14e7/TOPS-9-21-g005.jpg

相似文献

1
Canalization of Language Structure From Environmental Constraints: A Computational Model of Word Learning From Multiple Cues.基于环境限制的语言结构渠化:一种从多个线索进行词汇学习的计算模型
Top Cogn Sci. 2017 Jan;9(1):21-34. doi: 10.1111/tops.12239. Epub 2016 Dec 18.
2
Learning grammatical categories from distributional cues: flexible frames for language acquisition.从分布线索中学习语法类别:语言习得的灵活框架。
Cognition. 2010 Sep;116(3):341-60. doi: 10.1016/j.cognition.2010.05.012. Epub 2010 Jun 17.
3
The Pursuit of Word Meanings.对词义的探究。
Cogn Sci. 2017 Apr;41 Suppl 4(Suppl 4):638-676. doi: 10.1111/cogs.12416. Epub 2016 Sep 25.
4
Competitive processes in cross-situational word learning.跨情境词汇学习中的竞争过程。
Cogn Sci. 2013 Jul;37(5):891-921. doi: 10.1111/cogs.12035. Epub 2013 Apr 22.
5
A computational study of cross-situational techniques for learning word-to-meaning mappings.一种用于学习词到意义映射的跨情境技术的计算研究。
Cognition. 1996 Oct-Nov;61(1-2):39-91. doi: 10.1016/s0010-0277(96)00728-7.
6
A joint model of word segmentation and meaning acquisition through cross-situational learning.一种通过跨情境学习实现分词与语义获取的联合模型。
Psychol Rev. 2015 Oct;122(4):792-829. doi: 10.1037/a0039702.
7
Caregivers use gesture contingently to support word learning.照顾者使用手势作为条件来支持词汇学习。
Dev Sci. 2021 Jul;24(4):e13098. doi: 10.1111/desc.13098. Epub 2021 Mar 8.
8
Bootstrapping language acquisition.引导式语言习得
Cognition. 2017 Jul;164:116-143. doi: 10.1016/j.cognition.2017.02.009. Epub 2017 Apr 13.
9
Cross-situational Learning From Ambiguous Egocentric Input Is a Continuous Process: Evidence Using the Human Simulation Paradigm.从含混自我中心输入中进行跨情境学习是一个连续的过程:使用人类模拟范式的证据。
Cogn Sci. 2021 Jul;45(7):e13010. doi: 10.1111/cogs.13010.
10
The interplay of cross-situational word learning and sentence-level constraints.跨情境单词学习与句子层面限制之间的相互作用。
Cogn Sci. 2015 Jul;39(5):849-89. doi: 10.1111/cogs.12178. Epub 2014 Sep 22.

引用本文的文献

1
Vocabulary interventions for children with developmental language disorder: a systematic review.针对发育性语言障碍儿童的词汇干预:一项系统综述。
Front Psychol. 2025 Mar 19;16:1517311. doi: 10.3389/fpsyg.2025.1517311. eCollection 2025.
2
Redundancy can hinder adult L2 grammar learning: evidence from case markers of varying salience levels.冗余会阻碍成人二语语法学习:来自不同显著程度格标记的证据。
Front Psychol. 2024 May 22;15:1368080. doi: 10.3389/fpsyg.2024.1368080. eCollection 2024.
3
Word Segmentation Cues in German Child-Directed Speech: A Corpus Analysis.

本文引用的文献

1
DOES EVOLUTIONARY PLASTICITY EVOLVE?进化可塑性会进化吗?
Evolution. 1996 Jun;50(3):1008-1023. doi: 10.1111/j.1558-5646.1996.tb02342.x.
2
Simultaneous segmentation and generalisation of non-adjacent dependencies from continuous speech.从连续语音中同时分割和泛化非相邻依存关系。
Cognition. 2016 Feb;147:70-4. doi: 10.1016/j.cognition.2015.11.010. Epub 2015 Nov 27.
3
Literacy effects on language and vision: emergent effects from an amodal shared resource (ASR) computational model.读写能力对语言和视觉的影响:来自非模态共享资源(ASR)计算模型的新出现的影响。
德语儿童导向言语中的词分割线索:语料库分析。
Lang Speech. 2022 Mar;65(1):3-27. doi: 10.1177/0023830920979016. Epub 2021 Jan 30.
4
Exploring the "anchor word" effect in infants: Segmentation and categorisation of speech with and without high frequency words.探索婴儿的“锚定词”效应:有无高频词的言语分割和分类。
PLoS One. 2020 Dec 17;15(12):e0243436. doi: 10.1371/journal.pone.0243436. eCollection 2020.
Cogn Psychol. 2014 Dec;75:28-54. doi: 10.1016/j.cogpsych.2014.07.002. Epub 2014 Aug 27.
4
The rules of information aggregation and emergence of collective intelligent behavior.信息聚合规则与集体智能行为的出现。
Top Cogn Sci. 2009 Oct;1(4):598-620. doi: 10.1111/j.1756-8765.2009.01047.x.
5
Spoken language achieves robustness and evolvability by exploiting degeneracy and neutrality.口语通过利用简并性和中性来实现稳健性和可进化性。
Bioessays. 2014 Oct;36(10):960-7. doi: 10.1002/bies.201400028. Epub 2014 Aug 4.
6
Statistical word learning at scale: the baby's view is better.大规模统计单词学习:婴儿视角更优。
Dev Sci. 2013 Nov;16(6):959-66. doi: 10.1111/desc.12036. Epub 2013 Mar 19.
7
Disambiguating durational cues for speech segmentation.区分语音分段的时长线索。
J Acoust Soc Am. 2013 Jul;134(1):EL45-51. doi: 10.1121/1.4809775.
8
Word learning emerges from the interaction of online referent selection and slow associative learning.词汇学习源于在线目标选择和缓慢联想学习的相互作用。
Psychol Rev. 2012 Oct;119(4):831-77. doi: 10.1037/a0029872.
9
Integrating constraints for learning word-referent mappings.学习词-指称映射的约束集成。
Cognition. 2012 Apr;123(1):133-43. doi: 10.1016/j.cognition.2011.12.010. Epub 2012 Jan 14.
10
Modeling cross-situational word-referent learning: prior questions.跨情境词-指物学习建模:先验问题。
Psychol Rev. 2012 Jan;119(1):21-39. doi: 10.1037/a0026182.