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.
Japanese is a language where the grammatical status of arguments and adjuncts is marked exclusively by postnominal case markers, and various argument realization patterns can be assessed by their case marking. Since Japanese is categorized as a language of the nominative-accusative type typologically, the unmarked case-marking frame obtained for transitive predicates of the non-stative (or eventive) type is ‘nominative-accusative’. Nevertheless, transitive predicates falling into the stative class often have other case-marking alignments, such as ‘nominative-nominative’ and ‘dative-nominative’. Consequently, Japanese provides much more varying argument realization patterns than those expected from its typological character as a nominative-accusative language.
In point of fact, argument marking can actually be much more elastic and variable, the variations being motivated by several linguistic factors. Arguments often have the option of receiving either syntactic or semantic case, with no difference in the logical or cognitive meaning (as in plural agent and source agent alternations) or depending on the meanings their predicate carry (as in locative alternation). The type of case marking that is not normally available in main clauses can sometimes be obtained in embedded contexts (i.e., in exceptional case marking and small-clause constructions). In complex predicates, including causative and indirect passive predicates, arguments are case-marked differently from their base clauses by virtue of suffixation, and their case patterns follow the mono-clausal case array, despite the fact that they have multi-clausal structures.
Various case marking options are also made available for arguments by grammatical operations. Some processes instantiate a change on the grammatical relations and case marking of arguments with no affixation or embedding. Japanese has the grammatical process of subjectivization, creating extra (non-thematic) major subjects, many of which are identified as instances of ‘possessor raising’ (or argument ascension). There is another type of grammatical process, which reduces the number of arguments by virtue of incorporating a noun into the predicate, as found in the light verb constructions with suru ‘do’ and the complex adjective constructions formed on the negative adjective nai ‘non-existent.’
Malka Rappaport Hovav
Words are sensitive to syntactic context. Argument realization is the study of the relation between argument-taking words, the syntactic contexts they appear in and the interpretive properties that constrain the relation between them.
Bert Le Bruyn, Henriëtte de Swart, and Joost Zwarts
Bare nominals (also called “bare nouns”) are nominal structures without an overt article or other determiner. The distinction between a bare noun and a noun that is part of a larger nominal structure must be made in context: Milk is a bare nominal in I bought milk, but not in I bought the milk. Bare nouns have a limited distribution: In subject or object position, English allows bare mass nouns and bare plurals, but not bare singular count nouns (*I bought table). Bare singular count nouns only appear in special configurations, such as coordination (I bought table and chairs for £182).
From a semantic perspective, it is noteworthy that bare nouns achieve reference without the support of a determiner. A full noun phrase like the cookies refers to the maximal sum of cookies in the context, because of the definite article the. English bare plurals have two main interpretations: In generic sentences they refer to the kind (Cookies are sweet), in episodic sentences they refer to some exemplars of the kind (Cookies are in the cabinet). Bare nouns typically take narrow scope with respect to other scope-bearing operators like negation.
The typology of bare nouns reveals substantial variation, and bare nouns in languages other than English may have different distributions and meanings. But genericity and narrow scope are recurring features in the cross-linguistic study of bare nominals.
Haihua Pan and Yuli Feng
Cross-linguistic data can add new insights to the development of semantic theories or even induce the shift of the research paradigm. The major topics in semantic studies such as bare noun denotation, quantification, degree semantics, polarity items, donkey anaphora and binding principles, long-distance reflexives, negation, tense and aspects, eventuality are all discussed by semanticists working on the Chinese language. The issues which are of particular interest include and are not limited to: (i) the denotation of Chinese bare nouns; (ii) categorization and quantificational mapping strategies of Chinese quantifier expressions (i.e., whether the behaviors of Chinese quantifier expressions fit into the dichotomy of A-Quantification and D-quantification); (iii) multiple uses of quantifier expressions (e.g., dou) and their implication on the inter-relation of semantic concepts like distributivity, scalarity, exclusiveness, exhaustivity, maximality, etc.; (iv) the interaction among universal adverbials and that between universal adverbials and various types of noun phrases, which may pose a challenge to the Principle of Compositionality; (v) the semantics of degree expressions in Chinese; (vi) the non-interrogative uses of wh-phrases in Chinese and their influence on the theories of polarity items, free choice items, and epistemic indefinites; (vii) how the concepts of E-type pronouns and D-type pronouns are manifested in the Chinese language and whether such pronoun interpretations correspond to specific sentence types; (viii) what devices Chinese adopts to locate time (i.e., does tense interpretation correspond to certain syntactic projections or it is solely determined by semantic information and pragmatic reasoning); (ix) how the interpretation of Chinese aspect markers can be captured by event structures, possible world semantics, and quantification; (x) how the long-distance binding of Chinese ziji ‘self’ and the blocking effect by first and second person pronouns can be accounted for by the existing theories of beliefs, attitude reports, and logophoricity; (xi) the distribution of various negation markers and their correspondence to the semantic properties of predicates with which they are combined; and (xii) whether Chinese topic-comment structures are constrained by both semantic and pragmatic factors or syntactic factors only.
Clinical linguistics is the branch of linguistics that applies linguistic concepts and theories to the study of language disorders. As the name suggests, clinical linguistics is a dual-facing discipline. Although the conceptual roots of this field are in linguistics, its domain of application is the vast array of clinical disorders that may compromise the use and understanding of language. Both dimensions of clinical linguistics can be addressed through an examination of specific linguistic deficits in individuals with neurodevelopmental disorders, craniofacial anomalies, adult-onset neurological impairments, psychiatric disorders, and neurodegenerative disorders. Clinical linguists are interested in the full range of linguistic deficits in these conditions, including phonetic deficits of children with cleft lip and palate, morphosyntactic errors in children with specific language impairment, and pragmatic language impairments in adults with schizophrenia.
Like many applied disciplines in linguistics, clinical linguistics sits at the intersection of a number of areas. The relationship of clinical linguistics to the study of communication disorders and to speech-language pathology (speech and language therapy in the United Kingdom) are two particularly important points of intersection. Speech-language pathology is the area of clinical practice that assesses and treats children and adults with communication disorders. All language disorders restrict an individual’s ability to communicate freely with others in a range of contexts and settings. So language disorders are first and foremost communication disorders. To understand language disorders, it is useful to think of them in terms of points of breakdown on a communication cycle that tracks the progress of a linguistic utterance from its conception in the mind of a speaker to its comprehension by a hearer. This cycle permits the introduction of a number of important distinctions in language pathology, such as the distinction between a receptive and an expressive language disorder, and between a developmental and an acquired language disorder. The cycle is also a useful model with which to conceptualize a range of communication disorders other than language disorders. These other disorders, which include hearing, voice, and fluency disorders, are also relevant to clinical linguistics.
Clinical linguistics draws on the conceptual resources of the full range of linguistic disciplines to describe and explain language disorders. These disciplines include phonetics, phonology, morphology, syntax, semantics, pragmatics, and discourse. Each of these linguistic disciplines contributes concepts and theories that can shed light on the nature of language disorder. A wide range of tools and approaches are used by clinical linguists and speech-language pathologists to assess, diagnose, and treat language disorders. They include the use of standardized and norm-referenced tests, communication checklists and profiles (some administered by clinicians, others by parents, teachers, and caregivers), and qualitative methods such as conversation analysis and discourse analysis. Finally, clinical linguists can contribute to debates about the nosology of language disorders. In order to do so, however, they must have an understanding of the place of language disorders in internationally recognized classification systems such as the 2013 Diagnostic and Statistical Manual of Mental Disorders (DSM-5) of the American Psychiatric Association.
There are two main theoretical traditions in semantics. One is based on realism, where meanings are described as relations between language and the world, often in terms of truth conditions. The other is cognitivistic, where meanings are identified with mental structures. This article presents some of the main ideas and theories within the cognitivist approach.
A central tenet of cognitively oriented theories of meaning is that there are close connections between the meaning structures and other cognitive processes. In particular, parallels between semantics and visual processes have been studied. As a complement, the theory of embodied cognition focuses on the relation between actions and components of meaning.
One of the main methods of representing cognitive meaning structures is to use images schemas and idealized cognitive models. Such schemas focus on spatial relations between various semantic elements. Images schemas are often constructed using Gestalt psychological notions, including those of trajector and landmark, corresponding to figure and ground. In this tradition, metaphors and metonymies are considered to be central meaning transforming processes.
A related approach is force dynamics. Here, the semantic schemas are construed from forces and their relations rather than from spatial relations. Recent extensions involve cognitive representations of actions and events, which then form the basis for a semantics of verbs.
A third approach is the theory of conceptual spaces. In this theory, meanings are represented as regions of semantic domains such as space, time, color, weight, size, and shape. For example, strong evidence exists that color words in a large variety of languages correspond to such regions. This approach has been extended to a general account of the semantics of some of the main word classes, including adjectives, verbs, and prepositions. The theory of conceptual spaces shows similarities to the older frame semantics and feature analysis, but it puts more emphasis on geometric structures.
A general criticism against cognitive theories of semantics is that they only consider the meaning structures of individuals, but neglect the social aspects of semantics, that is, that meanings are shared within a community. Recent theoretical proposals counter this by suggesting that semantics should be seen as a meeting of minds, that is, communicative processes that lead to the alignment of meanings between individuals. On this approach, semantics is seen as a product of communication, constrained by the cognitive mechanisms of the individuals.
Modification is a combinatorial semantic operation between a modifier and a modifiee. Take, for example, vegetarian soup: the attributive adjective vegetarian modifies the nominal modifiee soup and thus constrains the range of potential referents of the complex expression to soups that are vegetarian. Similarly, in Ben is preparing a soup in the camper, the adverbial in the camper modifies the preparation by locating it. Notably, modifiers can have fairly drastic effects; in fake stove, the attribute fake induces that the complex expression singles out objects that seem to be stoves, but are not. Intuitively, modifiers contribute additional information that is not explicitly called for by the target the modifier relates to. Speaking in terms of logic, this roughly says that modification is an endotypical operation; that is, it does not change the arity, or logical type, of the modified target constituent. Speaking in terms of syntax, this predicts that modifiers are typically adjuncts and thus do not change the syntactic distribution of their respective target; therefore, modifiers can be easily iterated (see, for instance, spicy vegetarian soup or Ben prepared a soup in the camper yesterday). This initial characterization sets modification apart from other combinatorial operations such as argument satisfaction and quantification: combining a soup with prepare satisfies an argument slot of the verbal head and thus reduces its arity (see, for instance, *prepare a soup a quiche). Quantification as, for example, in the combination of the quantifier every with the noun soup, maps a nominal property onto a quantifying expression with a different distribution (see, for instance, *a every soup). Their comparatively loose connection to their hosts renders modifiers a flexible, though certainly not random, means within combinatorial meaning constitution. The foundational question is how to work their being endotypical into a full-fledged compositional analysis. On the one hand, modifiers can be considered endotypical functors by virtue of their lexical endowment; for instance, vegetarian would be born a higher-ordered function from predicates to predicates. On the other hand, modification can be considered a rule-based operation; for instance, vegetarian would denote a simple predicate from entities to truth-values that receives its modifying endotypical function only by virtue of a separate modification rule. In order to assess this and related controversies empirically, research on modification pays particular attention to interface questions such as the following: how do structural conditions and the modifying function conspire in establishing complex interpretations? What roles do ontological information and fine-grained conceptual knowledge play in the course of concept combination?
Computational semantics performs automatic meaning analysis of natural language. Research in computational semantics designs meaning representations and develops mechanisms for automatically assigning those representations and reasoning over them. Computational semantics is not a single monolithic task but consists of many subtasks, including word sense disambiguation, multi-word expression analysis, semantic role labeling, the construction of sentence semantic structure, coreference resolution, and the automatic induction of semantic information from data.
The development of manually constructed resources has been vastly important in driving the field forward. Examples include WordNet, PropBank, FrameNet, VerbNet, and TimeBank. These resources specify the linguistic structures to be targeted in automatic analysis, and they provide high-quality human-generated data that can be used to train machine learning systems. Supervised machine learning based on manually constructed resources is a widely used technique.
A second core strand has been the induction of lexical knowledge from text data. For example, words can be represented through the contexts in which they appear (called distributional vectors or embeddings), such that semantically similar words have similar representations. Or semantic relations between words can be inferred from patterns of words that link them. Wide-coverage semantic analysis always needs more data, both lexical knowledge and world knowledge, and automatic induction at least alleviates the problem.
Compositionality is a third core theme: the systematic construction of structural meaning representations of larger expressions from the meaning representations of their parts. The representations typically use logics of varying expressivity, which makes them well suited to performing automatic inferences with theorem provers.
Manual specification and automatic acquisition of knowledge are closely intertwined. Manually created resources are automatically extended or merged. The automatic induction of semantic information is guided and constrained by manually specified information, which is much more reliable. And for restricted domains, the construction of logical representations is learned from data.
It is at the intersection of manual specification and machine learning that some of the current larger questions of computational semantics are located. For instance, should we build general-purpose semantic representations, or is lexical knowledge simply too domain-specific, and would we be better off learning task-specific representations every time? When performing inference, is it more beneficial to have the solid ground of a human-generated ontology, or is it better to reason directly with text snippets for more fine-grained and gradual inference? Do we obtain a better and deeper semantic analysis as we use better and deeper manually specified linguistic knowledge, or is the future in powerful learning paradigms that learn to carry out an entire task from natural language input and output alone, without pre-specified linguistic knowledge?
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.