In this, the second of two articles outlining a theory of communicative competence, the author questions the ability of Chomsky's account of linguistic competence to fulfil the requirements of such a theory. ?Linguistic competence? for Chomsky means the mastery of an abstract system of rules, based on an innate language apparatus. The model by which communication is understood on this account contains three implicit assumptions, here called ?monologism?, ?a priorism?, and ?elementarism?. The author offers an outline of a theory of (...) communicative competence that is based on the negations of these assumptions. In opposing the first two assumptions he introduces distinctions, respectively, between semantic universals which process experiences and those that make such processing possible, and between semantic universals which precede all socialization and those that are linked to the conditions of potential socialization. Against elementarism, he argues that the semantic content of all possible natural languages does not consist of combinations of a finite number of meaning components. Differences in systems of classification preclude this, and such differences can be seen to infect all respects of intercultural comparison. Using the notion of ?performative utterance?, the author elucidates the role of dialogue?constitutive universals as part of the formal apparatus required of a?; speaker's capacity to communicate. He then notes what would be required of a general semantics based on a theory of communicative competence; and finally points out how this theory might be used for social analysis. (shrink)

The article examines the basics of learning a foreign language. The fundamental foundations of this process are chosen. These judgments are made at the intersection of philosophical and pedagogical platforms. Therefore, research is of importance in both aspects, both philosophical and pedagogical. A new concept called ”Intuitive language base" is put forward. With the help of this concept, judgments about the fundamental foundations are made. The main issue explained within the framework of the concept is about words. Thus, it is (...) shown that, unlike the grammatical rules, words have a different fundamental aspect. At the same time, fundamental ideas about translation and scientific language are taken from this concept. In addition, the number of possible words in the world is calculated, judgments about creativity are put forward, fundamental issues such as the concept of the minilex and the music of the language are touched upon, and the attitude is expressed within the proposed concept. (shrink)

This letter addresses two issues in language research that are important to cognitive science: the comparability of word meanings across languages and the neglect of an integrated approach to writing systems. The first issue challenges generativist claims by emphasizing the importance of comparability of data, drawing on typologists’ findings about different languages. The second issue addresses the exclusion of diverse writing systems from linguistic investigation and argues for a more extensive study of their effects on language and cognition. We argue (...) for a refocusing of cognitive science research on linguistic diversity in all modalities to develop the most robust understanding of language and its role in human cognition more broadly. (shrink)

In recent years, dependency grammars have established themselves as valuable tools in theoretical and computational linguistics. To many linguists, dependency grammars and the more standard constituency-based formalisms are notational variants. We argue that, beyond considerations of formal equivalence, cognition may also serve as a background for a genuine comparison between these different views of syntax. In this paper, we review and evaluate some of the most common arguments and evidence employed to advocate for the cognitive or neural reality of dependency (...) grammars in linguistics, psycholinguistics, or neurolinguistics. We then raise the possibility that the abilities to represent and track, alternatively or in parallel, constituency and dependency structures co-exist in human cognition and are constitutive of syntactic competence. (shrink)

The ability to express negation in language may have been the result of an adaptive process. However, there are different accounts of adaptation in linguistics, and more than one of them may describe the case of negation. In this paper, I distinguish different versions of the claim that negation is adaptive and defend a proposal, based on recent work by Steinert-Threlkeld (2016) and Incurvati and Sbardolini (2021), on which negation is an indirect adaptation.

We propose a model of cognition grounded in ancient Greek philosophy which encompasses Aristotle’s categories. Taking for First Principles the brute facts of the mental actions of separation, aggregation and ordering, we derive Aristotle’s categories as follows. First, Separation lets us see single entities, giving the simple concept of an individual. Next, Aggregation lets us see instances of some kind, giving the basic concept of a particular. Then, Ordering lets us see both wholes-with-parts as well as parts-of-some-whole, giving the subtle (...) concept of a relational or Gestalt. The basic and the subtle concept give us the major and minor categories. The categories constitute a top-level ontology and describe universal usage so that any other category necessarily describes particular or domain usage. (shrink)

A well‐known typological observation is the dominance of subject‐initial word orders, SOV and SVO, across the world's languages. Recent findings from gestural language creation paradigms offer possible explanations for the prevalence of SOV. When asked to gesture transitive events with an animate agent and inanimate patient, gesturers tend to produce SOV order, regardless of their native language biases. Interestingly, when the patient is animate, gesturers shift away from SOV to use of other orders, like SVO and OSV. Two competing hypotheses (...) have been proposed for this switch: the noisy channel account (Gibson et al., 2013) and the role conflict account (Hall, Mayberry, & Ferreira, 2013). We set out to distinguish between these two hypotheses, disentangling event reversibility and patient animacy, by looking at gestural sequences for events with two inanimate participants (inanimate‐inanimate, reversible). We replicated the previous findings of a preference for SOV order when describing animate‐inanimate, irreversible events as well as a decrease in the use of SOV when presented with animate‐animate, reversible events. Accompanying the drop in SOV, in a novel condition we observed an increase in the use of SVO and OSV orders when describing events involving two animate entities. In sum, we find that the observed avoidance of SOV order in gestural language creation paradigms when the event includes an animate agent and patient is driven by the animacy of the participants rather than the reversibility of the event. We suggest that findings from gestural creation paradigms are not automatically linkable to spoken language typology. (shrink)

The dissertation is a contrastive analysis. It deals with the acquisition of English relative clause (RC) by German and Turkish students(in Germany and Turkey) learning English as a second and third language and attending the 11th grades of a German school. The main question of the study is to find out whether the acquisition of English RCs is more difficult for German or for Turkish learners. The other study is the corpus analysis of the English relative clauses. For this research (...) I have chosen various school books from the fields such as History, Chemistry and Literature. The target is to find out how often the English relative clauses are used. They are from the same school level (11th grade) where I have applied the tests. I wanted to know which difficulties exists for the students. Moreover the frequency of English relative clauses in the school books has been given. (shrink)

This paper introduces a special issue of Cognitive Science initiated on the 25th anniversary of the publication of Parallel Distributed Processing (PDP), a two-volume work that introduced the use of neural network models as vehicles for understanding cognition. The collection surveys the core commitments of the PDP framework, the key issues the framework has addressed, and the debates the framework has spawned, and presents viewpoints on the current status of these issues. The articles focus on both historical roots and contemporary (...) developments in learning, optimality theory, perception, memory, language, conceptual knowledge, cognitive control, and consciousness. Here we consider the approach more generally, reviewing the original motivations, the resulting framework, and the central tenets of the underlying theory. We then evaluate the impact of PDP both on the field at large and within specific subdomains of cognitive science and consider the current role of PDP models within the broader landscape of contemporary theoretical frameworks in cognitive science. Looking to the future, we consider the implications for cognitive science of the recent success of machine learning systems called “deep networks”—systems that build on key ideas presented in the PDP volumes. (shrink)

This chapter examines two different views of universal grammar. Most linguists assume that universal grammar is underspecified — providing us with an incomplete grammar to be elaborated by learning. But the alternative is that it is overspecified — providing us with a full range of possible grammars from which we select one on the basis of environmental input. Underspecification is now the dominant view in the developmental sciences, and is often treated as the null hypothesis on grounds of greater possibility, (...) parsimony, and simplicity. The chapter questions whether the underspecification view is really feasible and whether it is more parsimonious than the overspecification view, drawing on examples from certain African languages. It also shows that the perplexity evoked by overspecification theories disappears if language has a concealing purpose as well as a communicating purpose, similar to a code. (shrink)

According to a “selective” (as opposed to “instructive”) model of human language capacity, people come to know more than they experience. The discrepancy between experience and eventual capacity (the “poverty of the stimulus”) is bridged by genetically provided information. Hence any hypothesis about the linguistic genotype (or “Universal Grammar,” UG) has consequences for what experience is needed and what form people's mature capacities (or “grammars”) will take. This BBS target article discusses the “trigger experience,” that is, the experience that actually (...) affects a child's linguistic development. It is argued that this must be a subset of a child's total linguistic experience and hence that much of what a child hears has no consequence for the form of the eventual grammar. UG filters experience and provides an upper bound on what constitutes the triggering experience. This filtering effect can often be seen in the way linguistic capacity can change between generations. Children only need access to robust structures of minimal (“degree-0”) complexity. Everything can be learned from simple, unembedded “domains” (a grammatical concept involved in defining an expression's logical form). Children do not need access to more complex structures. (shrink)

Time underlies many interesting human behaviors. Thus, the question of how to represent time in connectionist models is very important. One approach is to represent time implicitly by its effects on processing rather than explicitly (as in a spatial representation). The current report develops a proposal along these lines first described by Jordan (1986) which involves the use of recurrent links in order to provide networks with a dynamic memory. In this approach, hidden unit patterns are fed back to themselves: (...) the internal representations which develop thus reflect task demands in the context of prior internal states. A set of simulations is reported which range from relatively simple problems (temporal version of XOR) to discovering syntactic/semantic features for words. The networks are able to learn interesting internal representations which incorporate task demands with memory demands: indeed, in this approach the notion of memory is inextricably bound up with task processing. These representations reveal a rich structure, which allows them to be highly context‐dependent, while also expressing generalizations across classes of items. These representations suggest a method for representing lexical categories and the type/token distinction. (shrink)

Talk of linguistic universals has given cognitive scientists the impression that languages are all built to a common pattern. In fact, there are vanishingly few universals of language in the direct sense that all languages exhibit them. Instead, diversity can be found at almost every level of linguistic organization. This fundamentally changes the object of enquiry from a cognitive science perspective. This target article summarizes decades of cross-linguistic work by typologists and descriptive linguists, showing just how few and unprofound the (...) universal characteristics of language are, once we honestly confront the diversity offered to us by the world's 6,000 to 8,000 languages. After surveying the various uses of “universal,” we illustrate the ways languages vary radically in sound, meaning, and syntactic organization, and then we examine in more detail the core grammatical machinery of recursion, constituency, and grammatical relations. Although there are significant recurrent patterns in organization, these are better explained as stable engineering solutions satisfying multiple design constraints, reflecting both cultural-historical factors and the constraints of human cognition.Linguistic diversity then becomes the crucial datum for cognitive science: we are the only species with a communication system that is fundamentally variable at all levels. Recognizing the true extent of structural diversity in human language opens up exciting new research directions for cognitive scientists, offering thousands of different natural experiments given by different languages, with new opportunities for dialogue with biological paradigms concerned with change and diversity, and confronting us with the extraordinary plasticity of the highest human skills. (shrink)

Grammar is now widely regarded as a substantially biological phenomenon, yet the problem of language evolution remains a matter of controversy among Linguists, Cognitive Scientists, and Evolutionary Theorists alike. In this paper, I present a new theoretical argument for one particular hypothesis—that a Language Acquisition Device of the sort first posited by Noam Chomsky might have evolved via the so-called Baldwin Effect . Close attention to the workings of that mechanism, I argue, helps to explain a previously mysterious feature of (...) the Language Acquisition Device—the sheer variety of languages it allows the child to learn—thereby revealing a far stronger case than adherents of the hypothesis have previously supposed. A further unheralded consequence of the hypothesis is a conceptual shift in the Chomskyan understanding of language, wherein the essentially public nature of language is freshly emphasised. This has the effect of bringing the Chomskyan view into closer accord with Saussurean accounts of language, as well as with recent trends in evolutionary theory. (shrink)

The distinction between open and closed class items represents a fundamental bifurcation in the mental lexicon. It proved useful to express certain basic generalisations in linguistics and in the study of language acquisition and language pathology. The distinction is too rough tough: it must be refined by paying attention to the computational properties of the two classes and their division of labor in the generation of complex expressions. It will be shown how the distinction is expressed within current linguistic models (...) of the principles and parameters / minimalist type. (shrink)

Cognitive Science, Volume 46, Issue 3, March 2022.

In this article we discuss the notion of a linguistic universal, and possible sources of such invariant properties of natural languages. In the first part, we explore the conceptual issues that arise. In the second part of the paper, we focus on the explanatory potential of horizontal evolution. We particularly focus on two case studies, concerning Zipf's Law and universal properties of color terms, respectively. We show how computer simulations can be employed to study the large scale, emergent, consequences of (...) psychologically and psychologically motivated assumptions about the working of horizontal language transmission. (shrink)

Recent literature on the Young Hegelians attests to a renewed appreciation of their philosophical and political significance. Important new studies have linked them to the literary and political currents of their time, traced the changing patterns of their relationships with early French socialism, and demonstrated the affinity of their thought with Hellenistic theories of self-consciousness. The conventional interpretative context, which focuses on the left-Hegelian critique of religion and the problem of the realisation of philosophy, has also been decisively challenged. Ingrid (...) Pepperle emphasizes instead the centrality of practical philosophy, notably Hegel's dialectic of objectification, arguing that Bruno Bauer in particular derives from this a doctrine of autonomy with politically revolutionary implications. (shrink)

Whether computational algorithms such as latent semantic analysis (LSA) can both extract meaning from language and advance theories of human cognition has become a topic of debate in cognitive science, whereby accounts of symbolic cognition and embodied cognition are often contrasted. Albeit for different reasons, in both accounts the importance of statistical regularities in linguistic surface structure tends to be underestimated. The current article gives an overview of the symbolic and embodied cognition accounts and shows how meaning induction attributed to (...) a specific statistical process or to activation of embodied representations should be attributed to language itself. Specifically, the performance of LSA can be attributed to the linguistic surface structure, more than special characteristics of the algorithm, and embodiment findings attributed to perceptual simulations can be explained by distributional linguistic information. (shrink)

Cognitive Science, Volume 46, Issue 2, February 2022.

Sociolinguistics is a frontier science. From the beginning of this century onward, following an ever-deepening observation and inference in natural sciences and social phenomena, an awareness arose that a single science , cannot explain, let alone analyze in great detail, complex natural and social phenomena. Real life demanded interdisciplinary studies, which gave rise to frontier sciences. Nature and society do not consist of separate and unrelated parts; rather, nature and society are an organic, integrated whole, which cannot be explained in (...) terms of mechanical materialism. (shrink)

Languages are transmitted from person to person and generation to generation via a process of iterated learning: people learn a language from other people who once learned that language themselves. We analyze the consequences of iterated learning for learning algorithms based on the principles of Bayesian inference, assuming that learners compute a posterior distribution over languages by combining a prior (representing their inductive biases) with the evidence provided by linguistic data. We show that when learners sample languages from this posterior (...) distribution, iterated learning converges to a distribution over languages that is determined entirely by the prior. Under these conditions, iterated learning is a form of Gibbs sampling, a widely-used Markov chain Monte Carlo algorithm. The consequences of iterated learning are more complicated when learners choose the language with maximum posterior probability, being affected by both the prior of the learners and the amount of information transmitted between generations. We show that in this case, iterated learning corresponds to another statistical inference algorithm, a variant of the expectation-maximization (EM) algorithm. These results clarify the role of iterated learning in explanations of linguistic universals and provide a formal connection between constraints on language acquisition and the languages that come to be spoken, suggesting that information transmitted via iterated learning will ultimately come to mirror the minds of the learners. (shrink)

In this article, we develop a hierarchical Bayesian model of learning in a general type of artificial language‐learning experiment in which learners are exposed to a mixture of grammars representing the variation present in real learners’ input, particularly at times of language change. The modeling goal is to formalize and quantify hypothesized learning biases. The test case is an experiment (Culbertson, Smolensky, & Legendre, 2012) targeting the learning of word‐order patterns in the nominal domain. The model identifies internal biases of (...) the experimental participants, providing evidence that learners impose (possibly arbitrary) properties on the grammars they learn, potentially resulting in the cross‐linguistic regularities known as typological universals. Learners exposed to mixtures of artificial grammars tended to shift those mixtures in certain ways rather than others; the model reveals how learners’ inferences are systematically affected by specific prior biases. These biases are in line with a typological generalization—Greenberg's Universal 18—which bans a particular word‐order pattern relating nouns, adjectives, and numerals. (shrink)

Number morphology (e.g., singular vs. plural) is a part of the grammar that captures numerical information. Some languages have morphological Number values, which express few (paucal), two (dual), three (trial) and sometimes (possibly) four (quadral). Interestingly, the limit of the attested morphological Number values matches the limit of non‐verbal numerical cognition. The latter is based on two systems, one estimating approximate numerosities and the other computing exact numerosities up to three or four. We compared the literature on non‐verbal number systems (...) with data on Number morphology from 218 languages. Our observations suggest that non‐verbal numerical cognition is reflected as a core part of language. (shrink)

Analyzing the rate at which languages change can clarify whether similarities across languages are solely the result of cognitive biases or might be partially due to descent from a common ancestor. To demonstrate this approach, we use a simple model of language evolution to mathematically determine how long it should take for the distribution over languages to lose the influence of a common ancestor and converge to a form that is determined by constraints on language learning. We show that modeling (...) language learning as Bayesian inference ofnbinary parameters or the ordering ofnconstraints results in convergence in a number of generations that is on the order ofn log n. We relax some of the simplifying assumptions of this model to explore how different assumptions about language evolution affect predictions about the time to convergence; in general, convergence time increases as the model becomes more realistic. This allows us to characterize the assumptions about language learning (given the models that we consider) that are sufficient for convergence to have taken place on a timescale that is consistent with the origin of human languages. These results clearly identify the consequences of a set of simple models of language evolution and show how analysis of convergence rates provides a tool that can be used to explore questions about the relationship between accounts of language learning and the origins of similarities across languages. (shrink)

According to classical arguments, language learning is both facilitated and constrained by cognitive biases. These biases are reflected in linguistic typology—the distribution of linguistic patterns across the world's languages—and can be probed with artificial grammar experiments on child and adult learners. Beginning with a widely successful approach to typology (Optimality Theory), and adapting techniques from computational approaches to statistical learning, we develop a Bayesian model of cognitive biases and show that it accounts for the detailed pattern of results of artificial (...) grammar experiments on noun-phrase word order (Culbertson, Smolensky, & Legendre, 2012). Our proposal has several novel properties that distinguish it from prior work in the domains of linguistic theory, computational cognitive science, and machine learning. This study illustrates how ideas from these domains can be synthesized into a model of language learning in which biases range in strength from hard (absolute) to soft (statistical), and in which language-specific and domain-general biases combine to account for data from the macro-level scale of typological distribution to the micro-level scale of learning by individuals. (shrink)

Speakers of different languages (e.g., English vs. Turkish) show a binary split in how they package and order components of a motion event in speech and co‐speech gesture but not in silent gesture. In this study, we focused on Mandarin Chinese, a language that does not follow the binary split in its expression of motion in speech, and asked whether adult Chinese speakers would follow the language‐specific speech patterns in co‐speech but not silent gesture, thus showing a pattern akin to (...) Turkish and English adult speakers in their description of animated motion events. Our results provided evidence for this pattern, with Chinese—as well as English and Turkish—speakers following language‐specific patterns in speech and co‐speech gesture but not in silent gesture. Our results provide support for the “thinking‐for‐speaking” account, namely that language influences thought only during online, but not offline, production of speech. (shrink)

In this paper we argue that ecological evolutionary developmental biology accounts of cognitive modernity are compatible with cultural evolution theories of language built upon iterated learning models. Cultural evolution models show that the emergence of near universal properties of language do not require the preexistence of strong specific constraints. Instead, the development of general abilities, unrelated to informational specificity, like the copying of complex signals and sharing of communicative intentions is required for cultural evolution to yield specific properties, such as (...) language structure. We argue that eco-evo-devo provides the appropriate conceptual background to ground an account for the many interconnected genetic, environmental and developmental factors that facilitated the emergence of an organic system able to develop language through the iterated transmission of information. We use the concept of niche construction to connect evolutionary developmental accounts for sensory guided motor capacities and cultural evolution guided by iterated learning models. This integrated theoretical model aims to build bridges between biological and cultural approaches. (shrink)