Annual Review of Linguistics最新文献_第6页

Learning Through Processing: Toward an Integrated Approach to Early Word Learning. 通过加工学习：早期单词学习的综合方法》。

IF 3 1区文学

Annual Review of Linguistics Pub Date : 2022-01-01 Epub Date: 2021-10-05 DOI: 10.1146/annurev-linguistics-031220-011146

Stephan C Meylan, Elika Bergelson

引用次数: 0

Structural, Functional, and Processing Perspectives on Linguistic Island Effects 语言孤岛效应的结构、功能和加工视角

IF 3.2 1区文学

Annual Review of Linguistics Pub Date : 2021-12-14 DOI: 10.1146/annurev-linguistics-011619-030319

Yingtong Liu, E. Winckel, Abeillé, Barbara Hemforth, E. Gibson

引用次数: 7

Navigating Accent Variation: A Developmental Perspective 导航口音变化:一个发展的视角

IF 3.2 1区文学

Annual Review of Linguistics Pub Date : 2021-11-29 DOI: 10.1146/annurev-linguistics-032521-053717

Elizabeth K. Johnson, Marieke van Heugten, H. Buckler

{"title":"Navigating Accent Variation: A Developmental Perspective","authors":"Elizabeth K. Johnson, Marieke van Heugten, H. Buckler","doi":"10.1146/annurev-linguistics-032521-053717","DOIUrl":"https://doi.org/10.1146/annurev-linguistics-032521-053717","url":null,"abstract":"Adult processing of other-accented speech is fast, dependent on lexical access, and readily generalizable to new words. But what does children's processing of other-accented speech look like? Although many acquisition researchers have emphasized how other-accented speech presents a formidable challenge to young children, we argue that the field has perhaps underestimated children's early accent processing abilities. In support of this view, we present evidence that 2-year-olds’ accent processing abilities appear to be in many respects adult-like, and discuss the growing literature on children's ability to cope with multi-accent input in the natural world. We outline different theoretical outlooks on the transition children make from infancy to later childhood, and discuss how the growing sophistication of infants’ accent processing abilities feeds into their social perception of the world (and perhaps vice versa). We also argue that efficient processing and meaningful interpretation of accent variation are fundamental to human cognition, and that early proficiency with accent variation (along with all of the implied representational and learning capacities) is difficult to explain without assuming the early emergence of abstract speech representations. Expected final online publication date for the Annual Review of Linguistics, Volume 8 is January 2022. Please see http://www.annualreviews.org/page/journal/pubdates for revised estimates.","PeriodicalId":45803,"journal":{"name":"Annual Review of Linguistics","volume":"201202 1","pages":""},"PeriodicalIF":3.2,"publicationDate":"2021-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77688280","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"文学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 5

Semantic Structure in Deep Learning 深度学习中的语义结构

IF 3.2 1区文学

Annual Review of Linguistics Pub Date : 2021-11-23 DOI: 10.1146/annurev-linguistics-031120-122924

Ellie Pavlick

{"title":"Semantic Structure in Deep Learning","authors":"Ellie Pavlick","doi":"10.1146/annurev-linguistics-031120-122924","DOIUrl":"https://doi.org/10.1146/annurev-linguistics-031120-122924","url":null,"abstract":"Deep learning has recently come to dominate computational linguistics, leading to claims of human-level performance in a range of language processing tasks. Like much previous computational work, deep learning–based linguistic representations adhere to the distributional meaning-in-use hypothesis, deriving semantic representations from word co-occurrence statistics. However, current deep learning methods entail fundamentally new models of lexical and compositional meaning that are ripe for theoretical analysis. Whereas traditional distributional semantics models take a bottom-up approach in which sentence meaning is characterized by explicit composition functions applied to word meanings, new approaches take a top-down approach in which sentence representations are treated as primary and representations of words and syntax are viewed as emergent. This article summarizes our current understanding of how well such representations capture lexical semantics, world knowledge, and composition. The goal is to foster increased collaboration on testing the implications of such representations as general-purpose models of semantics. Expected final online publication date for the Annual Review of Linguistics, Volume 8 is January 2022. Please see http://www.annualreviews.org/page/journal/pubdates for revised estimates.","PeriodicalId":45803,"journal":{"name":"Annual Review of Linguistics","volume":"30 1","pages":""},"PeriodicalIF":3.2,"publicationDate":"2021-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88284915","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"文学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 28

Neurocomputational Models of Language Processing 语言处理的神经计算模型

IF 3.2 1区文学

Annual Review of Linguistics Pub Date : 2021-11-18 DOI: 10.1146/annurev-linguistics-051421-020803

J. Hale, Luca Campanelli, Jixing Li, Christophe Pallier, Jonathan Brennan

引用次数: 33

Reverse Engineering Language Acquisition with Child-Centered Long-Form Recordings 以儿童为中心的长形式录音的逆向工程语言习得

IF 3.2 1区文学

Annual Review of Linguistics Pub Date : 2021-11-15 DOI: 10.1146/annurev-linguistics-031120-122120

Marvin Lavechin, Maureen de Seyssel, Lucas Gautheron, E. Dupoux, Alejandrina Cristià

{"title":"Reverse Engineering Language Acquisition with Child-Centered Long-Form Recordings","authors":"Marvin Lavechin, Maureen de Seyssel, Lucas Gautheron, E. Dupoux, Alejandrina Cristià","doi":"10.1146/annurev-linguistics-031120-122120","DOIUrl":"https://doi.org/10.1146/annurev-linguistics-031120-122120","url":null,"abstract":"Language use in everyday life can be studied using lightweight, wearable recorders that collect long-form recordings—that is, audio (including speech) over whole days. The hardware and software underlying this technique are increasingly accessible and inexpensive, and these data are revolutionizing the language acquisition field. We first place this technique into the broader context of the current ways of studying both the input being received by children and children's own language production, laying out the main advantages and drawbacks of long-form recordings. We then go on to argue that a unique advantage of long-form recordings is that they can fuel realistic models of early language acquisition that use speech to represent children's input and/or to establish production benchmarks. To enable the field to make the most of this unique empirical and conceptual contribution, we outline what this reverse engineering approach from long-form recordings entails, why it is useful, and how to evaluate success. Expected final online publication date for the Annual Review of Linguistics, Volume 8 is January 2022. Please see http://www.annualreviews.org/page/journal/pubdates for revised estimates.","PeriodicalId":45803,"journal":{"name":"Annual Review of Linguistics","volume":"4 1","pages":""},"PeriodicalIF":3.2,"publicationDate":"2021-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79690687","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"文学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

Stance and Stancetaking 站立和站立

IF 3.2 1区文学

Annual Review of Linguistics Pub Date : 2021-11-15 DOI: 10.1146/annurev-linguistics-031120-121256

S. Kiesling

引用次数: 6

On the Acquisition of Attitude Verbs 论态度动词的习得

IF 3.2 1区文学

Annual Review of Linguistics Pub Date : 2021-10-14 DOI: 10.1146/annurev-linguistics-032521-053009

V. Hacquard, J. Lidz

引用次数: 1

When Do Children Lose the Language Instinct? A Critical Review of the Critical Periods Literature 孩子什么时候失去语言本能?批判时期文学述评

IF 3.2 1区文学

Annual Review of Linguistics Pub Date : 2021-10-08 DOI: 10.1146/annurev-linguistics-032521-053234

Joshua K. Hartshorne

引用次数: 1

The Probabilistic Turn in Semantics and Pragmatics 语义学与语用学的概率转向

IF 3.2 1区文学

Annual Review of Linguistics Pub Date : 2021-10-05 DOI: 10.1146/annurev-linguistics-031120-015515

K. Erk

{"title":"The Probabilistic Turn in Semantics and Pragmatics","authors":"K. Erk","doi":"10.1146/annurev-linguistics-031120-015515","DOIUrl":"https://doi.org/10.1146/annurev-linguistics-031120-015515","url":null,"abstract":"This article provides an overview of graded and probabilistic approaches in semantics and pragmatics. These approaches share a common set of core research goals: ( a) a concern with phenomena that are best described as graded, including a vast lexicon of words whose meaning adapts flexibly to the contexts in which they are used, as well as reasoning under uncertainty about interlocutors, their goals, and their strategies; ( b) the need to show that representations are learnable, that a listener can learn semantic representations and pragmatic reasoning from data; ( c) an emphasis on empirical evaluation against experimental data or corpus data at scale; and ( d) scaling up to the full size of the lexicon. The methods used are sometimes explicitly probabilistic and sometimes not. Previously, there were assumed to be clear boundaries among probabilistic frameworks, classifiers in machine learning, and distributional approaches, but these boundaries have been blurred. Frameworks in semantics and pragmatics use all three of these, sometimes in combination, to address the four core research questions above. Expected final online publication date for the Annual Review of Linguistics, Volume 8 is January 2022. Please see http://www.annualreviews.org/page/journal/pubdates for revised estimates.","PeriodicalId":45803,"journal":{"name":"Annual Review of Linguistics","volume":"45 1","pages":""},"PeriodicalIF":3.2,"publicationDate":"2021-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78786565","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"文学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 4