The emergence of complex syntax: A longitudinal case study of the ESL development of dependency resolution

Mellow, J. Dean

doi:10.1016/j.lingua.2007.01.007

Cited by 32 publications

(19 citation statements)

References 14 publications

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“…Some other proposals within this general emergentist framework have also been put forward (see e.g. Ellis, 1998;Ellis & Larsen-Freeman, 2009;Larsen-Freeman, 1997;Mellow, 2008;O'Grady, 2005O'Grady, , 2008. 1 More recently, Muysken (2013) has put forward a proposal for a model in the context of historical language change within the framework of Optimality Theory.…”

Section: Some Background: Why This Model Is Neededmentioning

confidence: 99%

The Complex Adaptive System Principles model for bilingualism: Language interactions within and across bilingual minds

Filipović

Hawkins

2018

International Journal of Bilingualism

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Aims and objectives/purpose/research question:We propose a model that captures general patterns in bilingual language processing, based on empirical evidence elicited in a variety of experimental studies. We begin by considering what linguistic outputs are logically possible when bilingual speakers communicate based on the typological features of two languages in the bilingual mind. Our aim is to explain why some outputs are more frequent or more likely than others in bilingual language use. Design/methodology/approach: Our empirically derived multi-factor model combines insights from various empirical studies of different bilingual populations and it includes a variety of methodologies and approaches, such as lexical categorisation, lexical priming, syntactic priming, event verbalisation and memory, historical language change, grammaticality judgments and observational reports. Data and analysis: We critically discuss both lexical and syntactic processing data, as well as data that reflect bilingual type differences and different communicative situations (i.e. who the bilingual speakers are talking to and for what purpose). Crucially, we explain when the relevant factors collaborate and when they compete. Originality: There are three main reasons why this paper can be deemed original: 1) it offers a unified model for understanding bilingual language processing that is not focused on a single factor or a single linguistic level, as has most often been the case in the past; 2) it brings together the study of bilingualism from both psycholinguistic and sociolinguistic perspectives and in a unifying fashion, which is rare in the literature; and 3) it creates a platform for testing numerous predictions that are not dependent on any one theory. Significance/implications: This new model opens up new avenues for research into bilingual language processing for all types of bilingual speakers and in different communicative situations. It captures and explains the variety of outputs in bilingual communication and enables us to make predictions about communicative outcomes.

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Section: Some Background: Why This Model Is Neededmentioning

confidence: 99%

The Complex Adaptive System Principles model for bilingualism: Language interactions within and across bilingual minds

Filipović

Hawkins

2018

International Journal of Bilingualism

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“…All these item-based learning mechanisms are traced in empirical studies (e.g. Mellow, 2008a), and the categorization process resembles the "Verb-island" hypothesis (Tomasello, 2003). This hypothesis states that children gradually build up item-based inventories, in each of which some nouns relative to certain verb predicate gradually cluster around that verb (the verb-island).…”

Section: Newly Acquired Lexical Rulesmentioning

confidence: 99%

Simulating the coevolution of compositionality and word order regularity

Gong

2011

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This paper proposes a coevolutionary scenario on the origins of compositionality and word order regularity in human language, and illustrates it using a multi-agent, behavioral model. The model traces a 'bottom-up' process of syntactic development; artificial agents, by iterating local orders among lexical items, gradually build up basic constituent word order(s) in sentences. These results show that structural features of language (e.g. syntactic categories and word orders) could have coevolved with lexical items, as a consequence of general learning mechanisms (e.g. pattern extraction and sequential learning) initially not language-specific.

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“…As shown in Fig. Such item-based learning mechanisms have been traced in empirical studies of language acquisition (Mellow 2008), and the categorization process resembles the verb-island hypothesis on language acquisition (Tomasello 2003). Since both "wolf" and "fox" are agents in these meanings, rules (i) and (iii) are associated into an S category (Category 1), and the order before between these two rules and rule (ii) is acquired as a syntactic rule.…”

Section: Fig A1mentioning

confidence: 89%

Towards a Theoretical Framework for Analyzing Complex Linguistic Networks

Mehler¹,

Lcking²,

Banisch³

et al. 2016

Understanding Complex Systems

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Complexity is an interdisciplinary program publishing the best research and academiclevel teaching on both fundamental and applied aspects of complex systems-cutting across all traditional disciplines of the natural and life sciences, engineering, economics, medicine, neuroscience, social and computer science.Complex Systems are systems that comprise many interacting parts with the ability to generate a new quality of macroscopic collective behavior the manifestations of which are the spontaneous formation of distinctive temporal, spatial or functional structures. Models of such systems can be successfully mapped onto quite diverse "real-life" situations like the climate, the coherent emission of light from lasers, chemical reaction-diffusion systems, biological cellular networks, the dynamics of stock markets and of the internet, earthquake statistics and prediction, freeway traffic, the human brain, or the formation of opinions in social systems, to name just some of the popular applications.Although their scope and methodologies overlap somewhat, one can distinguish the following main concepts and tools: self-organization, nonlinear dynamics, synergetics, turbulence, dynamical systems, catastrophes, instabilities, stochastic processes, chaos, graphs and networks, cellular automata, adaptive systems, genetic algorithms and computational intelligence.The three major book publication platforms of the Springer Complexity program are the monograph series "Understanding Complex Systems" focusing on the various applications of complexity, and the "Springer Series in Synergetics", which is devoted to the quantitative theoretical and methodological foundations, and the "SpringerBriefs in Complexity" which are concise and topical working reports, case-studies, surveys, essays and lecture notes of relevance to the field. In addition to the books in these two core series, the program also incorporates individual titles ranging from textbooks to major reference works.Future scientific and technological developments in many fields will necessarily depend upon coming to grips with complex systems. Such systems are complex in both their composition-typically many different kinds of components interacting simultaneously and nonlinearly with each other and their environments on multiple levels-and in the rich diversity of behavior of which they are capable.The Springer Series in Understanding Complex Systems series (UCS) promotes new strategies and paradigms for understanding and realizing applications of complex systems research in a wide variety of fields and endeavors. UCS is explicitly transdisciplinary. It has three main goals: First, to elaborate the concepts, methods and tools of complex systems at all levels of description and in all scientific fields, especially newly emerging areas within the life, social, behavioral, economic, neuro-and cognitive sciences (and derivatives thereof); second, to encourage novel applications of these ideas in various fields of engineering and computation such as robotics, nano-technology...

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The emergence of complex syntax: A longitudinal case study of the ESL development of dependency resolution

Cited by 32 publications

References 14 publications

The Complex Adaptive System Principles model for bilingualism: Language interactions within and across bilingual minds

The Complex Adaptive System Principles model for bilingualism: Language interactions within and across bilingual minds

Simulating the coevolution of compositionality and word order regularity

Towards a Theoretical Framework for Analyzing Complex Linguistic Networks

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