Peter Ludlow shows how word meanings are much more dynamic than we might have supposed, and explores how they are modulated even during everyday conversation. The resulting view is radical, and has far-reaching consequences for our political and legal discourse, and for enduring puzzles in the foundations of semantics, epistemology, and logic.

There is an ongoing debate about the meaning of lexical words, i.e., words that contribute with content to the meaning of sentences. This debate has coincided with a renewal in the study of polysemy, which has taken place in the psycholinguistics camp mainly. There is already a fruitful interbreeding between two lines of research: the theoretical study of lexical word meaning, on the one hand, and the models of polysemy psycholinguists present, on the other. In this (...) paper I aim at deepening on this ongoing interbreeding, examine what is said about polysemy, particularly in the psycholinguistics literature, and then show how what we seem to know about the representation and storage of polysemous senses affects the models that we have about lexical word meaning. (shrink)

By the time they reach early adulthood, English speakers are familiar with the meaning of thousands of words. In the last decades, computational simulations known as distributional semantic models have demonstrated that it is possible to induce word meaning representations solely from word co-occurrence statistics extracted from a large amount of text. However, while these models learn in batch mode from large corpora, human word learning proceeds incrementally after minimal exposure to new words. In this (...) study, we run a set of experiments investigating whether minimal distributional evidence from very short passages suffices to trigger successful word learning in subjects, testing their linguistic and visual intuitions about the concepts associated with new words. After confirming that subjects are indeed very efficient distributional learners even from small amounts of evidence, we test a DSM on the same multimodal task, finding that it behaves in a remarkable human-like way. We conclude that DSMs provide a convincing computational account of word learning even at the early stages in which a word is first encountered, and the way they build meaning representations can offer new insights into human language acquisition. (shrink)

For many years, it has been common-ground in semantics and in philosophy of language that semantics is in the business of providing a full explanation about how propositional meanings are obtained. This orthodox picture seems to be in trouble these days, as an increasing number of authors now hold that semantics does not deal with thought-contents. Some of these authors have embraced a “thin meanings” view, according to which lexical meanings are too schematic to enter propositional contents. I will suggest (...) that it is plausible to adopt thin semantics for a class of words. However, I’ll also hold that some classes of words, like kind terms, plausibly have richer lexical meanings, and so that an adequate theory of word meaning may have to combine thin and rich semantics. (shrink)

That words express a conceptual content is uncontroversial. This does not entail that their content should break down neatly into a grammatical part, relevant for language and to be analyzed in linguistic terms, and a conceptual part, relevant for cognition and to be analyzed in psychological terms. Various types of empirical evidence are reviewed, showing that the conceptual content of words cannot be isolated from their linguistic properties, because it is affected and shaped by them. The view of words as (...) labels or containers for a non-linguistic conceptual content stems from a naive disregard of the complex and structured nature of lexical knowledge. On the contrary, knowledge of language is shown not just to organize and categorize conceptual content in a way not reducible to non-linguistic cognition, but also to affect its scope, as the range of verbalized concepts is both limited by abstract templates and expanded by productive word formation. This suggests that lexical knowledge is a distinctively linguistic dimension of conceptualization, and that words do not so much label or package concepts, as provide an inner form for conceptual knowledge. (shrink)

Words refer to objects in the world, but this correspondence is not one-to-one: Each word has a range of referents that share features on some dimensions but differ on others. This property of language is called underspecification. Parts of the lexicon have characteristic patterns of underspecification; for example, artifact nouns tend to specify shape, but not color, whereas substance nouns specify material but not shape. These regularities in the lexicon enable learners to generalize new words appropriately. How does the (...) lexicon come to have these helpful regularities? We test the hypothesis that systematic backgrounding of some dimensions during learning and use causes language to gradually change, over repeated episodes of transmission, to produce a lexicon with strong patterns of underspecification across these less salient dimensions. This offers a cultural evolutionary mechanism linking individual word learning and generalization to the origin of regularities in the lexicon that help learners generalize words appropriately. (shrink)

Supraspan verbal list-learning tests, such as the Rey Auditory Verbal Learning Test (RAVLT), are classic neuropsychological tests for assessing verbal memory. In this study, we investigated the impact of the meaning of the words to be learned on 3 memory stages (short-term recall, learning, and delayed recall) in a cohort of 447 healthy adults. First, we compared scores obtained from the RAVLT (word condition) to those of an alternative version of this test using phonologically similar but meaningless items (...) (pseudoword condition) and observed how each score varied as a function of age and sex. Then, we collected the participants’ self-reported strategies to retain the word and pseudoword lists and examined if these strategies mediated the age and sex effects on memory scores. The word condition resulted in higher memory scores than pseudoword condition at each memory stage and even canceled out, for the learning stage, the detrimental effect of age that was observed for the short-term and delayed recall. When taking sex into account, the word advantage was observed only in women for short-term recall. The self-reported strategies, which were similar for words and pseudowords, were based on the position of the item on the list (word: 53 %, pseudoword: 37%) or the meaning of the item (word: 64%, pseudoword: 58%) and were used alone or in combination. The best memory performance was associated with the meaning strategy in the word condition and with the combination of the meaning and position strategies in the pseudoword condition. Finally, we found that the word advantage observed in women for short-term recall was mediated by the use of the meaning strategy. The RAVLT scores were thus highly dependent on word meaning, notably because it allowed efficient semantic knowledge-based strategies. Within the framework of Tulving’s declarative memory model, these results are at odds with the depiction of the RAVLT as a verbal episodic memory test as it is increasingly referred to in the literature. (shrink)

The role of memory in one’s cognition of sentential meaning is a pivotal topic in Indian philosophical debates on the nature of language. The Bhāṭṭa Mīmāṃsakas claim in their doctrine of abhihitānvaya that words denote word-meanings which in turn lead one to sentential meaning, with memory playing only a limited role in this process. The Prābhākara Mīmāṃsakas however assign memory a central role and assert that each word in a sentence denotes the connected sentential meaning. (...) This paper is a philosophical and philological study of the arguments presented by the influential Prābhākara thinker Śālikanātha in his Vākyārthamātṛkā-I in order to substantiate the role of memory as part of the doctrine of anvitābhidhāna. The VM-I commences these discussions with an objection of the Bhāṭṭa pūrvapakṣin against this Prābhākara doctrine, and thereafter proceeds to refute this objection by demonstrating the role of memory, specifically in regard to word-meaning. Śālikanātha lays out his refutation by means of several layers of intricate argumentation, and this paper attempts to follow the text closely and present cogently his philosophical reasoning. The aim of this paper is thus to not only demonstrate the early pre-empting of this Bhāṭṭa objection by Śālikanātha himself but also his own responses to this, thereby enabling one to understand with greater clarity a cornerstone of the elaborate doctrine of anvitābhidhāna. (shrink)

These are central to the accounts of lexical representation and meaning construction developed, giving rise to the Theory of Lexical Concepts and Cognitive ...

Children and adults may not realize how much they depend on external sources in understanding word meanings. Four experiments investigated the existence and developmental course of a “Misplaced Meaning” effect, wherein children and adults overestimate their knowledge about the meanings of various words by underestimating how much they rely on outside sources to determine precise reference. Studies 1 and 2 demonstrate that children and adults show a highly consistent MM effect, and that it is stronger in young children. (...) Study 3 demonstrates that adults are explicitly aware of the availability of outside knowledge, and that this awareness may be related to the strength of the MM effect. Study 4 rules out general overconfidence effects by examining a metalinguistic task in which adults are well calibrated. (shrink)

Questions about the nature of word meaning have drawn attention across the cognitive science disciplines. Because words are one of the basic units of language, linguists working to describe the design of human language have naturally been concerned with word meaning. Perhaps less obvious, though, is the importance of word meaning to other disciplines. Philosophers seeking to identify the nature of knowledge and its relation to the world, psychologists trying to understand the mental representations (...) and processes that underlie language use, and computer scientists wanting to develop machines that can talk to people in a natural language have all worked to describe what individual words mean, and, more generally, what kind of thing a word meaning is. (shrink)

This review proposes that Bloom's linkage of word meaning with more general cognitive capacities could be extended through examination of the social contexts in which children learn. Specifically, the child's developing theory of mind can be viewed as part of the process by which children learn word meanings through engagement in social interactions that facilitate both language and strategic behaviours.

I focus on Barry C. Smith’s investigations in the phenomenology of speech, and on his ambitious, unified theory of both sub-personal and first-personal linguistic knowledge (2008, 2009). I argue that empirical hypotheses about our awareness of word meaning challenge the starting points of his phenomenology of speech, as they require both (1) modifications of his proposed theory of speakers experiences of word meaning, and (2) clarifications of what the phenomenology of speech teaches us and why.

Almost all words are the names of categories. We can learn most of our words (and hence our categories) from dictionary definitions, but not all of them. Some have to be learned from direct experience. To understand a word from its definition we need to already understand the words used in the definition. This is the “Symbol Grounding Problem” [1]. How many words (and which ones) do we need to ground directly in sensorimotor experience in order to be able (...) to learn all other words via definition alone? The answer may shed some light both on the developmental origin of word meanings and on the evolutionary origin and adaptive value of language. We used an algorithm to reduce each of our dictionaries (Longmans LDOCE, Cambridge CIDE and WordNet) to its “grounding kernel” (“Kernel”) (which turned out to be about 10% of the dictionary) by systematically eliminating.. (shrink)

We evaluate here the performance of four models of cross-situational word learning: two global models, which extract and retain multiple referential alternatives from each word occurrence; and two local models, which extract just a single referent from each occurrence. One of these local models, dubbed Pursuit, uses an associative learning mechanism to estimate word-referent probability but pursues and tests the best referent-meaning at any given time. Pursuit is found to perform as well as global models under (...) many conditions extracted from naturalistic corpora of parent-child interactions, even though the model maintains far less information than global models. Moreover, Pursuit is found to best capture human experimental findings from several relevant cross-situational word-learning experiments, including those of Yu and Smith (), the paradigm example of a finding believed to support fully global cross-situational models. Implications and limitations of these results are discussed, most notably that the model characterizes only the earliest stages of word learning, when reliance on the co-occurring referent world is at its greatest. (shrink)

Distributional models of lexical semantics are capable of acquiring sophisticated representations of word meanings. The main theoretical insight provided by these models is that they demonstrate the systematic connection between the knowledge that people acquire and the experience that they have with the natural language environment. However, linguistic experience is inherently variable and differs radically across people due to demographic and cultural variables. Recently, distributional models have been used to examine how word meanings vary across languages and it (...) was found that there is considerable variability in the meanings of words across languages for most semantic categories. The goal of this article is to examine how variable word meanings are across individual language users within a single language. This was accomplished by assembling 500 individual user corpora attained from the online forum Reddit. Each user corpus ranged between 3.8 and 32.3 million words each, and a count‐based distributional framework was used to extract word meanings for each user. These representations were then used to estimate the semantic alignment of word meanings across individual language users. It was found that there are significant levels of relativity in word meanings across individuals, and these differences are partially explained by other psycholinguistic factors, such as concreteness, semantic diversity, and social aspects of language usage. These results point to word meanings being fundamentally relative and contextually fluid, with this relativeness being related to the individualized nature of linguistic experience. (shrink)

The Emergence of Word-Meaning in Early China makes an innovative contribution to studies of language by historicizing the Chinese notion that words have "meaning" (content independent of instances of use). Rather than presuming that the concept of word-meaning had always existed, Jane Geaney explains how and why it arose in China. To account for why a normative term (yi, "duty, morality, appropriateness") came to be used for "meanings" found in dictionaries, Geaney examines interrelated patterns of (...) word usage threading through and across a wide range of genres. These patterns show that by the first millennium, as textual production exploded—and as radically different writing forms (in Buddhist sutras) were encountered—yi already functioned as an externally accessible "model" for semantic interpretation of texts and sayings. The book has far-reaching implications. Because the idea of word-meaning is fundamental to theorizing, the book illuminates not only semantic ideas and the normativity of language in Early China, but also aspects of early Chinese philosophy and intellectual history. As the internet supplants one form of media (print), thereby reducing knowledge to vast digital databases, so too, this book explains, two thousand years ago a culture that prized oral and visual balance became an "empire of the text.". (shrink)

I shall examine a theory, set out in the form of a story, which claims to explain advance in learning the meaning of words. Ignoring some important features of the theory—those notably to do with how such learning comes about—I shall ask what it is that the theory supposes us to learn when we learn the meaning of a word, or what it is that the theory supposes us to be doing when we learn it. The theory (...) will be imputed to one Augustine, since the story may be taken as a not unfair remythologization of a theory advanced by St Augustine in the De Magistro: but I shall not attempt here either to prove or reject paternity, being content to examine the theory on its intrinsic merits which, I hope to show, are not inconsiderable. (shrink)

Many individuals with developmental language disorder (DLD) and individuals who are deaf or hard of hearing (D/HH) have social–emotional problems, such as social difficulties, and show signs of aggression, depression, and anxiety. These problems can be partly associated with their executive functions (EFs) and theory of mind (ToM). The difficulties of both groups in EF and ToM may in turn be related to self-directed speech (i.e., overt or covert speech that is directed at the self). Self-directed speech is thought to (...) allow for the construction of non-sensory representations (i.e., representations that do not coincide with direct observation). Such non-sensory representations allow individuals to overcome the limits set upon them by the senses. This ability is constrained by the development of word meaning structure (i.e., the way words are understood). We argue that the greater ability to construct non-sensory representations may result in more enhanced forms of EF and ToM. We conclude that difficulties in EF, ToM, and social–emotional functioning in those with hearing and language problems may be accounted for in terms of word meaning impairments. We propose that word meaning structure and self-directed speech should be considered in assigning EF and ToM treatments to individuals with DLD and those who are D/HH. (shrink)

In two experiments subjects attempted to identify words presented below the objective threshold using two task strategies emphasizing either allowing a word to pop into their heads or looking carefully at the stimulus field . Words were selected to represent both meaningful and structural dimensions. We also asked subjects to indicate their strategy preference and to rate their motivation to perform well. In the absence of conscious perception, both strategy preference and word meaning interacted with strategy condition, (...) mediating the accuracy of subjects′ direct word identification judgments. Motivation also mediated performance. Word structure had no effect. Unconscious perception manifested only in the pop condition, underscoring the importance of task strategy in determining whether subliminal effects are observed. A follow-up control experiment using sham flashes demonstrated that strategy preference and motivation effects were not artifacts resulting from performance feedback cues. (shrink)

This volume is a collection of original contributions from outstanding scholars in linguistics, philosophy and computational linguistics exploring the relation between word meaning and human linguistic creativity. The papers present different aspects surrounding the question of what is word meaning, a problem that has been the center of heated debate in all those disciplines that directly or indirectly are concerned with the study of language and of human cognition. The discussions are centered around the newly emerging (...) view of the mental lexicon, as outlined in the Generative Lexicon theory (Pustejovsky, 1995), which proposes a unified model for defining word meaning. The individual contributors present their evidence for a generative approach as well as critical perspectives, which provides for a volume where word meaning is not viewed only from a particular angle or from a particular concern, but from a wide variety of topics, each introduced and explained by the editors. (shrink)

This investigation examined whether speakers produce reliable prosodic correlates to meaning across semantic domains and whether listeners use these cues to derive word meaning from novel words. Speakers were asked to produce phrases in infant‐directed speech in which novel words were used to convey one of two meanings from a set of antonym pairs (e.g., big/small). Acoustic analyses revealed that some acoustic features were correlated with overall valence of the meaning. However, each word meaning (...) also displayed a unique acoustic signature, and semantically related meanings elicited similar acoustic profiles. In two perceptual tests, listeners either attempted to identify the novel words with a matching meaning dimension (picture pair) or with mismatched meaning dimensions. Listeners inferred the meaning of the novel words significantly more often when prosody matched the word meaning choices than when prosody mismatched. These findings suggest that speech contains reliable prosodic markers to word meaning and that listeners use these prosodic cues to differentiate meanings. That prosody is semantic suggests a reconceptualization of traditional distinctions between linguistic and nonlinguistic properties of spoken language. (shrink)

In this paper I examine cases in which we attach different meanings to words and in which we litigate or argue about the best way of defining the term in dispute. I reject the idea that this is just a matter of imposing our will on our interlocutors – I think that the process of litigation is normative. To some extent recent work in the theory of argumentation has shed considerable light on this process, but we will need to retrofit (...) that work for the kinds of considerations we are engaged with here. I’ll begin in Section 1, with some important terminological preliminaries. Then in Section 2, I will offer a general description of how we come to notice that there are disputes about meaning and how we engage the meaning variance once it is recognized. In section 3 I’ll then take up a case that is relatively less controversial – the definition of ‘planet’ – and use it to construct a model for our meaning litigation works. Finally, in section 4 I’ll then turn to more contentious and substantial issues – the definition of ‘rape’ and the definition of ‘person’ and begin exploring how disputes about the meanings of those terms can be normative and fail to be normative. (shrink)

One of the main limitations of natural language‐based approaches to meaning is that they do not incorporate multimodal representations the way humans do. In this study, we evaluate how well different kinds of models account for people's representations of both concrete and abstract concepts. The models we compare include unimodal distributional linguistic models as well as multimodal models which combine linguistic with perceptual or affective information. There are two types of linguistic models: those based on text corpora and those (...) derived from word association data. We present two new studies and a reanalysis of a series of previous studies. The studies demonstrate that both visual and affective multimodal models better capture behavior that reflects human representations than unimodal linguistic models. The size of the multimodal advantage depends on the nature of semantic representations involved, and it is especially pronounced for basic‐level concepts that belong to the same superordinate category. Additional visual and affective features improve the accuracy of linguistic models based on text corpora more than those based on word associations; this suggests systematic qualitative differences between what information is encoded in natural language versus what information is reflected in word associations. Altogether, our work presents new evidence that multimodal information is important for capturing both abstract and concrete words and that fully representing word meaning requires more than purely linguistic information. Implications for both embodied and distributional views of semantic representation are discussed. (shrink)