Attention and empirical studies of grammar

How is the generation of a grammatical sentence implemented by the human brain? A starting place for such an inquiry lies in linguistic theory. Unfortunately, linguistic theories illuminate only abstract knowledge representations and do not indicate how these representations interact with cognitive architecture to produce discourse. We examine tightly constrained empirical methods to study how grammar interacts with one part of the cognitive architecture, namely attention. Finally, we show that understanding attention as a neural network can link grammatical choice to underlying brain systems. Overall, our commentary supports a multilevel empirical approach that clarifies and expands the connections between cognitive science and linguistics thus advancing the interdisciplinary agenda outlined by Jackendoff

Modeling the production of VCV sequences via the inversion of a biomechanical model of the tongue

A control model of the production of VCV sequences is presented, which consists in three main parts: a static forward model of the relations between motor commands and acoustic properties; the specification of targets in the perceptual space; a planning procedure based on optimization principles. Examples of simulations generated with this model illustrate how it can be used to assess theories and models of coarticulation in speech

On the automaticity of language processing

People speak and listen to language all the time. Given this high frequency of use, it is often suggested that at least some aspects of language processing are highly overlearned and therefore occur “automatically”. Here we critically examine this suggestion. We first sketch a framework that views automaticity as a set of interrelated features of mental processes and a matter of degree rather than a single feature that is all-or-none. We then apply this framework to language processing. To do so, we carve up the processes involved in language use according to (a) whether language processing takes place in monologue or dialogue, (b) whether the individual is comprehending or producing language, (c) whether the spoken or written modality is used, and (d) the linguistic processing level at which they occur, that is, phonology, the lexicon, syntax, or conceptual processes. This exercise suggests that while conceptual processes are relatively non-automatic (as is usually assumed), there is also considerable evidence that syntactic and lexical lower-level processes are not fully automatic. We close by discussing entrenchment as a set of mechanisms underlying automatization

Strenthening local food systems: tracing learning of knowledge and skills by content and discourse analysis

The local food systems meet the food systems of scale on the local market, where the local and regional chains are looking for ways to survive and even to strengthen. The operations of local food systems become decided by many actors embedded in a socially complex local environment. This paper discusses some approaches to learning in the food chains and some qualitative research methods to capture learning in the chains through empirical material. The main research question, the learning of the actors in the local food chain and the effects of learning on the activities of the local chain are opened as more detailed and operative questions

Cognate facilitation effects in bilingual children of varying language dominance

A widely accepted theory is that bilinguals activate both of their languages regardless of which is in use. Though there is abundant research on this phenomenon in bilingual adults, less research has focused on bilingual children. Cognates (i.e., words that share meaning and sound across languages) have frequently been used to explore language co-activation. The present study investigates cognate facilitation effects in child bilinguals of varying language dominance. Spanish-English bilingual children between 6 and 10 years old performed a picture-naming task that included pictures of cognates and non-cognates. Children who were more English-dominant experienced larger cognate facilitation effects when producing words in their non-dominant language but not in their dominant language. In contrast, children with more balanced dominance did not experience cognate facilitation effects in either language. The findings from this study may have implications for the development of the bilingual lexicon.Psycholog

Multilayer Network of Language: a Unified Framework for Structural Analysis of Linguistic Subsystems

Recently, the focus of complex networks research has shifted from the analysis of isolated properties of a system toward a more realistic modeling of multiple phenomena - multilayer networks. Motivated by the prosperity of multilayer approach in social, transport or trade systems, we propose the introduction of multilayer networks for language. The multilayer network of language is a unified framework for modeling linguistic subsystems and their structural properties enabling the exploration of their mutual interactions. Various aspects of natural language systems can be represented as complex networks, whose vertices depict linguistic units, while links model their relations. The multilayer network of language is defined by three aspects: the network construction principle, the linguistic subsystem and the language of interest. More precisely, we construct a word-level (syntax, co-occurrence and its shuffled counterpart) and a subword level (syllables and graphemes) network layers, from five variations of original text (in the modeled language). The obtained results suggest that there are substantial differences between the networks structures of different language subsystems, which are hidden during the exploration of an isolated layer. The word-level layers share structural properties regardless of the language (e.g. Croatian or English), while the syllabic subword level expresses more language dependent structural properties. The preserved weighted overlap quantifies the similarity of word-level layers in weighted and directed networks. Moreover, the analysis of motifs reveals a close topological structure of the syntactic and syllabic layers for both languages. The findings corroborate that the multilayer network framework is a powerful, consistent and systematic approach to model several linguistic subsystems simultaneously and hence to provide a more unified view on language