Children’s acquisition of language is an amazing feat. Children master the syntax, the sentence structure of their language, through exposure and interaction with caregivers and others but, notably, with no formal tuition. How children come to be in command of the syntax of their language has been a topic of vigorous debate since Chomsky argued against Skinner’s claim that language is ‘verbal behavior.’ Chomsky argued that knowledge of language cannot be learned through experience alone but is guided by a genetic component. This language component, known as ‘Universal Grammar,’ is composed of abstract linguistic knowledge and a computational system that is special to language. The computational mechanisms of Universal Grammar give even young children the capacity to form hierarchical syntactic representations for the sentences they hear and produce. The abstract knowledge of language guides children’s hypotheses as they interact with the language input in their environment, ensuring they progress toward the adult grammar. An alternative school of thought denies the existence of a dedicated language component, arguing that knowledge of syntax is learned entirely through interactions with speakers of the language. Such ‘usage-based’ linguistic theories assume that language learning employs the same learning mechanisms that are used by other cognitive systems. Usage-based accounts of language development view children’s earliest productions as rote-learned phrases that lack internal structure. Knowledge of linguistic structure emerges gradually and in a piecemeal fashion, with frequency playing a large role in the order of emergence for different syntactic structures.
Empirical and theoretical research on language has recently experienced a period of extensive growth. Unfortunately, however, in the case of the Japanese language, far fewer studies—particularly those written in English—have been presented on adult second language (L2) learners and bilingual children. As the field develops, it is increasingly important to integrate theoretical concepts and empirical research findings in second language acquisition (SLA) of Japanese, so that the concepts and research can be eventually applied to educational practice. This article attempts to: (a) address at least some of the gaps currently existing in the literature, (b) deal with important topics to the extent possible, and (c) discuss various problems with regard to adult learners of Japanese as an L2 and English–Japanese bilingual children. Specifically, the article first examines the characteristics of the Japanese language. Tracing the history of SLA studies, this article then deliberately touches on a wide spectrum of domains of linguistic knowledge (e.g., phonology and phonetics, morphology, lexicon, semantics, syntax, discourse), context of language use (e.g., interactive conversation, narrative), research orientations (e.g., formal linguistics, psycholinguistics, social psychology, sociolinguistics), and age groups (e.g., children, adults). Finally, by connecting past SLA research findings in English and recent/present concerns in Japanese as SLA with a focus on the past 10 years including corpus linguistics, this article provides the reader with an overview of the field of Japanese linguistics and its critical issues.
Eve V. Clark
The words and word-parts children acquire at different stages offer insights into how the mental lexicon might be organized. Children first identify ‘words,’ recurring sequences of sounds, in the speech stream, attach some meaning to them, and, later, analyze such words further into parts, namely stems and affixes. These are the elements they store in memory in order to recognize them on subsequent occasions. They also serve as target models when children try to produce those words themselves. When they coin words, they make use of bare stems, combine certain stems with each other, and sometimes add affixes as well. The options they choose depend on how much they need to add to coin a new word, which familiar elements they can draw on, and how productive that option is in the language. Children’s uses of stems and affixes in coining new words also reveal that they must be relying on one representation in comprehension and a different representation in production. For comprehension, they need to store information about the acoustic properties of a word, taking into account different occasions, different speakers, and different dialects, not to mention second-language speakers. For production, they need to work out which articulatory plan to follow in order to reproduce the target word. And they take time to get their production of a word aligned with the representation they have stored for comprehension. In fact, there is a general asymmetry here, with comprehension being ahead of production for children, and also being far more extensive than production, for both children and adults. Finally, as children add more words to their repertoires, they organize and reorganize their vocabulary into semantic domains. In doing this, they make use of pragmatic directions from adults that help them link related words through a variety of semantic relations.
Child phonology refers to virtually every phonetic and phonological phenomenon observable in the speech productions of children, including babbles. This includes qualitative and quantitative aspects of babbled utterances as well as all behaviors such as the deletion or modification of the sounds and syllables contained in the adult (target) forms that the child is trying to reproduce in his or her spoken utterances. This research is also increasingly concerned with issues in speech perception, a field of investigation that has traditionally followed its own course; it is only recently that the two fields have started to converge. The recent history of research on child phonology, the theoretical approaches and debates surrounding it, as well as the research methods and resources that have been employed to address these issues empirically, parallel the evolution of phonology, phonetics, and psycholinguistics as general fields of investigation. Child phonology contributes important observations, often organized in terms of developmental time periods, which can extend from the child’s earliest babbles to the stage when he or she masters the sounds, sound combinations, and suprasegmental properties of the ambient (target) language. Central debates within the field of child phonology concern the nature and origins of phonological representations as well as the ways in which they are acquired by children. Since the mid-1900s, the most central approaches to these questions have tended to fall on each side of the general divide between generative vs. functionalist (usage-based) approaches to phonology. Traditionally, generative approaches have embraced a universal stance on phonological primitives and their organization within hierarchical phonological representations, assumed to be innately available as part of the human language faculty. In contrast to this, functionalist approaches have utilized flatter (non-hierarchical) representational models and rejected nativist claims about the origin of phonological constructs. Since the beginning of the 1990s, this divide has been blurred significantly, both through the elaboration of constraint-based frameworks that incorporate phonetic evidence, from both speech perception and production, as part of accounts of phonological patterning, and through the formulation of emergentist approaches to phonological representation. Within this context, while controversies remain concerning the nature of phonological representations, debates are fueled by new outlooks on factors that might affect their emergence, including the types of learning mechanisms involved, the nature of the evidence available to the learner (e.g., perceptual, articulatory, and distributional), as well as the extent to which the learner can abstract away from this evidence. In parallel, recent advances in computer-assisted research methods and data availability, especially within the context of the PhonBank project, offer researchers unprecedented support for large-scale investigations of child language corpora. This combination of theoretical and methodological advances provides new and fertile grounds for research on child phonology and related implications for phonological theory.
The distinction between representations and processes is central to most models of the cognitive science of language. Linguistic theory informs the types of representations assumed, and these representations are what are taken to be the targets of second language acquisition. Epistemologically, this is often taken to be knowledge, or knowledge-that. Techniques such as Grammaticality Judgment tasks are paradigmatic as we seek to gain insight into what a learner’s grammar looks like. Learners behave as if certain phonological, morphological, or syntactic strings (which may or may not be target-like) were well-formed. It is the task of the researcher to understand the nature of the knowledge that governs those well-formedness beliefs.
Traditional accounts of processing, on the other hand, look to the real-time use of language, either in production or perception, and invoke discussions of skill or knowledge-how. A range of experimental psycholinguistic techniques have been used to assess these skills: self-paced reading, eye-tracking, ERPs, priming, lexical decision, AXB discrimination, and the like. Such online measures can show us how we “do” language when it comes to activities such as production or comprehension.
There has long been a connection between linguistic theory and theories of processing as evidenced by the work of Berwick (The Grammatical Basis of Linguistic Performance). The task of the parser is to assign abstract structure to a phonological, morphological, or syntactic string; structure that does not come directly labeled in the acoustic input. Such processing studies as the Garden Path phenomenon have revealed that grammaticality and processability are distinct constructs.
In some models, however, the distinction between grammar and processing is less distinct. Phillips says that “parsing is grammar,” while O’Grady builds an emergentist theory with no grammar, only processing. Bayesian models of acquisition, and indeed of knowledge, assume that the grammars we set up are governed by a principle of entropy, which governs other aspects of human behavior; knowledge and skill are combined. Exemplar models view the processing of the input as a storing of all phonetic detail that is in the environment, not storing abstract categories; the categories emerge via a process of comparing exemplars.
Linguistic theory helps us to understand the processing of input to acquire new L2 representations, and the access of those representations in real time.
Katie Wagner and David Barner
Human experience of color results from a complex interplay of perceptual and linguistic systems. At the lowest level of perception, the human visual system transforms the visible light portion of the electromagnetic spectrum into a rich, continuous three-dimensional experience of color. Despite our ability to perceptually discriminate millions of different color shades, most languages categorize color into a number of discrete color categories. While the meanings of color words are constrained by perception, perception does not fully define them. Once color words are acquired, they may in turn influence our memory and processing speed for color, although it is unlikely that language influences the lowest levels of color perception.
One approach to examining the relationship between perception and language in forming our experience of color is to study children as they acquire color language. Children produce color words in speech for many months before acquiring adult meanings for color words. Research in this area has focused on whether children’s difficulties stem from (a) an inability to identify color properties as a likely candidate for word meanings, or alternatively (b) inductive learning of language-specific color word boundaries. Lending plausibility to the first account, there is evidence that children more readily attend to object traits like shape, rather than color, as likely candidates for word meanings. However, recent evidence has found that children have meanings for some color words before they begin to produce them in speech, indicating that in fact, they may be able to successfully identify color as a candidate for word meaning early in the color word learning process. There is also evidence that prelinguistic infants, like adults, perceive color categorically. While these perceptual categories likely constrain the meanings that children consider, they cannot fully define color word meanings because languages vary in both the number and location of color word boundaries. Recent evidence suggests that the delay in color word acquisition primarily stems from an inductive process of refining these boundaries.
This is an advance summary of a forthcoming article in the Oxford Research Encyclopedia of Linguistics. Please check back later for the full article.
The concept of innateness (innate is first recorded in the period 1375–1425; from Latin innātus “inborn”) relates to types of behavior and knowledge that are present in the organism since birth (in fact, since fertilization), prior to any sensory experience with the environment. The term has been applied to two general types of qualities. The first consists of instinctive and inflexible reflexes and behaviors, which are apparent in survival, mating, and rearing activities. The other relates to cognition, with certain concepts, ideas, propositions, and particular ways of mental computation suggested to be part of one’s biological makeup. While both types of innatism have a long history in human philosophy and science (e.g., Plato and Descartes), some bias appears to exist in favor of claims for inherent behavioral traits, which are typically accepted when satisfactory empirical evidence is provided. One famous example is Lorenz’s demonstration of imprinting, a natural phenomenon that obeys a predetermined mechanism and schedule (Lorenz’s incubator-hatched goslings imprinted on his boots, the first moving object they encountered). Likewise, there seems to be little controversy in regard to predetermined ways of organizing sensory information, as is the case with the detection and classification of shapes and colors by the mind. In contrast, the idea that certain types of abstract knowledge may be part of an organism’s biological endowment (i.e., not learned) is typically faced with a greater sense of skepticism, and touches on a fundamental question in epistemological philosophy: Can reason be based (to a certain extent) on a priori knowledge—that is, knowledge that precedes and is independent of experience? The most influential and controversial claim for such innate knowledge in modern science is Chomsky’s breakthrough nativist theory of Universal Grammar in language and the famous “Argument from the Poverty of the Stimulus.” The main Chomskyan hypothesis is that all human beings share a preprogrammed linguistic infrastructure consisting of a finite collection of rules that, in principle, may generate (through combination or transformation) an infinite number of (only) grammatical sentences. Thus, the innate grammatical system constrains and structures the acquisition and use of all natural languages.
Connectionism is an important theoretical framework for the study of human cognition and behavior. Also known as Parallel Distributed Processing (PDP) or Artificial Neural Networks (ANN), connectionism advocates that learning, representation, and processing of information in mind are parallel, distributed, and interactive in nature. It argues for the emergence of human cognition as the outcome of large networks of interactive processing units operating simultaneously. Inspired by findings from neural science and artificial intelligence, connectionism is a powerful computational tool, and it has had profound impact on many areas of research, including linguistics. Since the beginning of connectionism, many connectionist models have been developed to account for a wide range of important linguistic phenomena observed in monolingual research, such as speech perception, speech production, semantic representation, and early lexical development in children. Recently, the application of connectionism to bilingual research has also gathered momentum. Connectionist models are often precise in the specification of modeling parameters and flexible in the manipulation of relevant variables in the model to address relevant theoretical questions, therefore they can provide significant advantages in testing mechanisms underlying language processes.
Jane Chandlee and Jeffrey Heinz
Computational phonology studies the nature of the computations necessary and sufficient for characterizing phonological knowledge. As a field it is informed by the theories of computation and phonology.
The computational nature of phonological knowledge is important because at a fundamental level it is about the psychological nature of memory as it pertains to phonological knowledge. Different types of phonological knowledge can be characterized as computational problems, and the solutions to these problems reveal their computational nature. In contrast to syntactic knowledge, there is clear evidence that phonological knowledge is computationally bounded to the so-called regular classes of sets and relations. These classes have multiple mathematical characterizations in terms of logic, automata, and algebra with significant implications for the nature of memory. In fact, there is evidence that phonological knowledge is bounded by particular subregular classes, with more restrictive logical, automata-theoretic, and algebraic characterizations, and thus by weaker models of memory.
Throughout the 20th century, structuralist and generative linguists have argued that the study of the language system (langue, competence) must be separated from the study of language use (parole, performance), but this view of language has been called into question by usage-based linguists who have argued that the structure and organization of a speaker’s linguistic knowledge is the product of language use or performance. On this account, language is seen as a dynamic system of fluid categories and flexible constraints that are constantly restructured and reorganized under the pressure of domain-general cognitive processes that are not only involved in the use of language but also in other cognitive phenomena such as vision and (joint) attention. The general goal of usage-based linguistics is to develop a framework for the analysis of the emergence of linguistic structure and meaning.
In order to understand the dynamics of the language system, usage-based linguists study how languages evolve, both in history and language acquisition. One aspect that plays an important role in this approach is frequency of occurrence. As frequency strengthens the representation of linguistic elements in memory, it facilitates the activation and processing of words, categories, and constructions, which in turn can have long-lasting effects on the development and organization of the linguistic system. A second aspect that has been very prominent in the usage-based study of grammar concerns the relationship between lexical and structural knowledge. Since abstract representations of linguistic structure are derived from language users’ experience with concrete linguistic tokens, grammatical patterns are generally associated with particular lexical expressions.