Results for 'Language, Information, Natural Language, Language Process, Meaning, Context, Neuroscience, Coding, Decoding'

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  1.  13
    Representing Time in Natural Language: The Dynamic Interpretation of Tense and Aspect.Alice G. B. Ter Meulen - 1997 - MIT Press.
    The topic of temporal meaning in texts has received considerable attention in recent years from scholars in linguistics, logical semantics, cognitive science, and artificial intelligence. Representing Time in Natural Language offers a systematic and detailed account of how we use temporal information contained in a text or in discourse to reason about the flow of time, inferring the order in which events happened when this is not explicitly stated. A new representational system is designed to formalize an appropriately (...)
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  2.  22
    Natural Language Semantics and Computability.Richard Moot & Christian Retoré - 2019 - Journal of Logic, Language and Information 28 (2):287-307.
    This paper is a reflexion on the computability of natural language semantics. It does not contain a new model or new results in the formal semantics of natural language: it is rather a computational analysis, in the context for type-logical grammars, of the logical models and algorithms currently used in natural language semantics, defined as a function from a grammatical sentence to a set of logical formulas—because a statement can be ambiguous, it can correspond (...)
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  3.  20
    Meaning, Form and the Limits of Natural Language Processing.Jan Segessenmann, Jan Juhani Steinmann & Oliver Dürr - 2023 - Philosophy, Theology and the Sciences 10 (1):42-72.
    This article engages the anthropological assumptions underlying the apprehensions and promises associated with language in artificial intelligence (AI). First, we present the contours of two rivalling paradigms for assessing artificial language generation: a holistic-enactivist theory of language and an informational theory of language. We then introduce two language generation models – one presently in use and one more speculative: Firstly, the transformer architecture as used in current large language models, such as the GPT-series, and (...)
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  4.  8
    Modeling Brain Representations of Words' Concreteness in Context Using GPT‐2 and Human Ratings.Andrea Bruera, Yuan Tao, Andrew Anderson, Derya Çokal, Janosch Haber & Massimo Poesio - 2023 - Cognitive Science 47 (12):e13388.
    The meaning of most words in language depends on their context. Understanding how the human brain extracts contextualized meaning, and identifying where in the brain this takes place, remain important scientific challenges. But technological and computational advances in neuroscience and artificial intelligence now provide unprecedented opportunities to study the human brain in action as language is read and understood. Recent contextualized language models seem to be able to capture homonymic meaning variation (“bat”, in a baseball vs. a (...)
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  5.  10
    The Natural Medium as Carrier of Meanings and Their Decoding by Living Beings: Biosemiotics in Action.Helena Knyazeva - 2018 - Філософія Освіти 23 (2):192-218.
    The synthetic, integrative significance of biosemiotics as a modern interdisciplinary research program is under discussion in the article. Aimed at studying the cognitive and life activity of living beings, which are capable of recognizing signals and extracting the meanings, biosemiotics serves as a conceptual node that combines some important notions of theoretical biology, evolutionary epistemology, cognitive science, phenomenology, neuroscience and neurophilosophy as well as the theory of complex adaptive systems and network science. Worlds of perception and actions of living beings (...)
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  6.  21
    Logic and Natural Language.Alice ter Meulen - 2017 - In Lou Goble (ed.), The Blackwell Guide to Philosophical Logic. Oxford, UK: Blackwell. pp. 461–483.
    Logicians have always found inspiration for new research in the ordinary language that is used on a daily basis and acquired naturally in childhood. Whereas the logical issues in the foundations of mathematics motivated the development of mathematical logic with its emphasis on notions of proof, validity, axiomatization, decidability, consistency, and completeness, the logical analysis of natural language motivated the development of philosophical logic with its emphasis on semantic notions of presupposition, entailment, modality, conditionals, and intensionality. The (...)
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  7.  24
    Natural Code of Subjective Experience.Ilya A. Surov - 2022 - Biosemiotics 15 (1):109-139.
    The paper introduces mathematical encoding for subjective experience and meaning in natural cognition. The code is based on a quantum-theoretic qubit structure supplementing classical bit with circular dimension, functioning as a process-causal template for representation of contexts relative to the basis decision. The qubit state space is demarcated in categories of emotional experience of animals and humans. Features of the resulting spherical map align with major theoreties in cognitive and emotion science, modeling of natural language, and semiotics, (...)
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  8.  14
    The Intuitive Concept of Information: An Analysis.Zbigniew Król - 2020 - Studies in Logic, Grammar and Rhetoric 63 (1):101-119.
    This paper seeks to determine the intuitive meaning of the concept of information by indicating its essential (definitional) features and relations with other concepts, such as that of knowledge. The term “information” – as with many other concepts, such as “process”, “force”, “energy” and “matter” – has a certain established meaning in natural languages, which allows it to be used, in science as well as in everyday life, without our possessing any somewhat stricter definition of it. The basic aim (...)
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  9.  32
    Internal Perception: The Role of Bodily Information in Concepts and Word Mastery.Luigi Pastore & Sara Dellantonio - 2017 - Berlin, Heidelberg: Springer Berlin Heidelberg. Edited by Luigi Pastore.
    Chapter 1 First Person Access to Mental States. Mind Science and Subjective Qualities -/- Abstract. The philosophy of mind as we know it today starts with Ryle. What defines and at the same time differentiates it from the previous tradition of study on mind is the persuasion that any rigorous approach to mental phenomena must conform to the criteria of scientificity applied by the natural sciences, i.e. its investigations and results must be intersubjectively and publicly controllable. In Ryle’s view, (...)
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  10. Natural languages and context-free languages.Geoffrey K. Pullum & Gerald Gazdar - 1980 - Linguistics and Philosophy 4 (4):471 - 504.
    Notice that this paper has not claimed that all natural languages are CFL's. What it has shown is that every published argument purporting to demonstrate the non-context-freeness of some natural language is invalid, either formally or empirically or both.18 Whether non-context-free characteristics can be found in the stringset of some natural language remains an open question, just as it was a quarter century ago.Whether the question is ultimately answered in the negative or the affirmative, there (...)
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  11. Epistemic responsibility.Lorraine Code - 1987 - Hanover, N.H.: Published for Brown University Press by University Press of New England.
    Having adequate knowledge of the world is not just a matter of survival but also one of obligation. This obligation to "know well" is what philosophers have termed "epistemic responsibility." In this innovative and eclectic study, Lorraine Code explores the possibilities inherent in this concept as a basis for understanding human attempts to know and understand the world and for discerning the nature of intellectual virtue. By focusing on the idea that knowing is a creative process guided by imperatives of (...)
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  12.  13
    Flexibility in Embodied Language Processing: Context Effects in Lexical Access.Wessel O. van Dam, Inti A. Brazil, Harold Bekkering & Shirley-Ann Rueschemeyer - 2014 - Topics in Cognitive Science 6 (3):407-424.
    According to embodied theories of language (ETLs), word meaning relies on sensorimotor brain areas, generally dedicated to acting and perceiving in the real world. More specifically, words denoting actions are postulated to make use of neural motor areas, while words denoting visual properties draw on the resources of visual brain areas. Therefore, there is a direct correspondence between word meaning and the experience a listener has had with a word's referent on the brain level. Behavioral and neuroimaging studies have (...)
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  13. Operationalising Representation in Natural Language Processing.Jacqueline Harding - forthcoming - British Journal for the Philosophy of Science.
    Despite its centrality in the philosophy of cognitive science, there has been little prior philosophical work engaging with the notion of representation in contemporary NLP practice. This paper attempts to fill that lacuna: drawing on ideas from cognitive science, I introduce a framework for evaluating the representational claims made about components of neural NLP models, proposing three criteria with which to evaluate whether a component of a model represents a property and operationalising these criteria using probing classifiers, a popular analysis (...)
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  14.  68
    Flexibility in Embodied Language Processing: Context Effects in Lexical Access.Wessel O. Dam, Inti A. Brazil, Harold Bekkering & Shirley‐Ann Rueschemeyer - 2014 - Topics in Cognitive Science 6 (3):407-424.
    According to embodied theories of language (ETLs), word meaning relies on sensorimotor brain areas, generally dedicated to acting and perceiving in the real world. More specifically, words denoting actions are postulated to make use of neural motor areas, while words denoting visual properties draw on the resources of visual brain areas. Therefore, there is a direct correspondence between word meaning and the experience a listener has had with a word's referent on the brain level. Behavioral and neuroimaging studies have (...)
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  15.  18
    On Mathematical Naturalism and the Powers of Symbolisms.Murray Code - 2005 - Cosmos and History : The Journal of Natural and Social Philosophy 1 (1):35-53.
    Advances in modern mathematics indicate that progress in this field of knowledge depends mainly on culturally inflected imaginative intuitions, or intuitive imaginings—which mysteriously result in the growth of systems of symbolism that are often efficacious, although fallible and very likely evolutionary. Thus the idea that a trouble-free epistemology can be constructed out of an intuition-free mathematical naturalism would seem to be question begging of a very high order. I illustrate the point by examining Philip Kitcher’s attempt to frame an empiricist (...)
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  16.  58
    Neurosemantics: Neural Processes and the Construction of Linguistic Meaning.Vivian Cruz & Alessio Plebe - 2016 - Cham: Springer Verlag. Edited by De La Cruz & M. Vivian.
    Neurosemantics is not yet a common term and in current neuroscience and philosophy it is used with two different sorts of objectives. One deals with the meaning of the electrical and the chemical activities going on in neural circuits. This way of using the term regards the project of explaining linguistic meaning in terms of the computations done by the brain. This book explores this second sense of neurosemantics, but in doing so, it will address much of the first as (...)
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  17.  35
    Abstract meaning representation for legal documents: an empirical research on a human-annotated dataset.Sinh Trong Vu, Minh Le Nguyen & Ken Satoh - 2022 - Artificial Intelligence and Law 30 (2):221-243.
    Natural language processing techniques contribute more and more in analyzing legal documents recently, which supports the implementation of laws and rules using computers. Previous approaches in representing a legal sentence often based on logical patterns that illustrate the relations between concepts in the sentence, often consist of multiple words. Those representations cause the lack of semantic information at the word level. In our work, we aim to tackle such shortcomings by representing legal texts in the form of abstract (...)
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  18.  12
    Do Programmers Prefer Predictable Expressions in Code?Casey Casalnuovo, Kevin Lee, Hulin Wang, Prem Devanbu & Emily Morgan - 2020 - Cognitive Science 44 (12):e12921.
    Source code is a form of human communication, albeit one where the information shared between the programmers reading and writing the code is constrained by the requirement that the code executes correctly. Programming languages are more syntactically constrained than natural languages, but they are also very expressive, allowing a great many different ways to express even very simple computations. Still, code written by developers is highly predictable, and many programming tools have taken advantage of this phenomenon, relying on (...) model surprisal as a guiding mechanism. While surprisal has been validated as a measure of cognitive load in natural language, its relation to human cognitive processes in code is still poorly understood. In this paper, we explore the relationship between surprisal and programmer preference at a small granularity—do programmers prefer more predictable expressions in code? Using meaning‐preserving transformations, we produce equivalent alternatives to developer‐written code expressions and run a corpus study on Java and Python projects. In general, language models rate the code expressions developers choose to write as more predictable than these transformed alternatives. Then, we perform two human subject studies asking participants to choose between two equivalent snippets of Java code with different surprisal scores (one original and transformed). We find that programmers do prefer more predictable variants, and that stronger language models like the transformer align more often and more consistently with these preferences. (shrink)
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  19.  18
    Functional and Structural Integration without Competence Overstepping in Structured Semantic Knowledge Base System.Marek Krótkiewicz & Krystian Wojtkiewicz - 2014 - Journal of Logic, Language and Information 23 (3):331-345.
    Logic, language and information integration is one of areas broadly explored nowadays and at the same time promising. Authors use that approach in their 8 years long research into Structured Semantic Knowledge Base System. The aim of this paper is to present authors idea of system capable of generating synergy effect while storing various type of information. The key assumption, which has been adopted, is the thesis that the attempt to find universal way of the reality description is very (...)
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  20. The dynamic nature of meaning.Claudia Arrighi & Roberta Ferrario - 2005 - In Lorenzo Magnani & Riccardo Dossena (eds.), Computing, Philosophy and Cognition. College Publications. pp. 295-312.
    In this paper we investigate how the dynamic nature of words’ meanings plays a role in a philosophical theory of meaning. For ‘dynamic nature’ we intend the characteristic of being flexible, of changing according to many factors (speakers, contexts, and more). We consider meaning as something that gradually takes shape from the dynamic processes of communication. Accordingly, we present a draft of a theory of meaning that, on the one hand, describes how a private meaning is formed as a mental (...)
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  21.  39
    Boon or Burden? The Role of Compositional Meaning in Figurative Language Processing and Acquisition.Mila Vulchanova, Evelyn Milburn, Valentin Vulchanov & Giosuè Baggio - 2019 - Journal of Logic, Language and Information 28 (2):359-387.
    We critically address current theories of figurative language, focusing on the role of literal or compositional meaning in the interpretation of non-literal expressions, including idioms and metaphors. Specifically, we formulate and discuss the processing hypothesis that compositional meaning may either facilitate or impede the recovery or construction of the intended figurative meaning depending on multiple factors, and in particular, on the expression’s decomposability and on the “strength” of semantic relations between the compositional and figurative meanings. As a case study, (...)
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  22. Literal Meaning.François Récanati - 2002 - New York: Cambridge University Press.
    According to the dominant position among philosophers of language today, we can legitimately ascribe determinate contents to natural language sentences, independently of what the speaker actually means. This view contrasts with that held by ordinary language philosophers fifty years ago: according to them, speech acts, not sentences, are the primary bearers of content. François Recanati argues for the relevance of this controversy to the current debate about semantics and pragmatics. Is 'what is said' determined by linguistic (...)
  23. Contexts: meaning, truth, and the use of language.Stefano Predelli - 2005 - New York: Clarendon Press.
    Stefano Predelli comes to the defense of the traditional "formal" approach to natural-language semantics, arguing that it has been misrepresented not only by its critics, but also by its foremost defenders. In Contexts he offers a fundamental reappraisal, with particular attention to the treatment of indexicality and other forms of contextual dependence which have been the focus of much recent controversy. In the process, he presents original approaches to a number of important semantic issues, including the relationship between (...)
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  24. Understanding human action: integrating meanings, mechanisms, causes, and contexts.Machiel Keestra - 2011 - In Repko Allen, Szostak Rick & Newell William (eds.), Interdisciplinary Research: Case Studies of Integrative Understandings of Complex Problems. Sage Publications. pp. 201-235.
    Humans are capable of understanding an incredible variety of actions performed by other humans. Even though these range from primary biological actions, like eating and fleeing, to acts in parliament or in poetry, humans generally can make sense of each other’s actions. Understanding other people’s actions is called action understanding, and it can transcend differences in race, gender, culture, age, and social and historical circumstances. Action understanding is the cognitive ability to make sense of another person’s action by integrating perceptual (...)
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  25.  24
    The relevance theory, pragmatics and the problem of meaning.Л. Б Макеева - 2022 - Philosophy Journal 15 (3):125-139.
    The paper discusses the theory of relevance, advanced in the middle of the 1980s by Dan Sperber and Deidra Wilson, in the context of opposition between the proponents of “ideal language philosophy”, or formal semantics, and adherents of “ordinary language philoso­phy”. Though the theory was created as a version of cognitive pragmatics, an area at the junction of cognitive sciences and theoretical linguistics, it is of undoubted interest for philosophical comprehension of language, verbal communication, and the nature (...)
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  26.  16
    The Role of Negative Information in Distributional Semantic Learning.Brendan T. Johns, Douglas J. K. Mewhort & Michael N. Jones - 2019 - Cognitive Science 43 (5):e12730.
    Distributional models of semantics learn word meanings from contextual co‐occurrence patterns across a large sample of natural language. Early models, such as LSA and HAL (Landauer & Dumais, 1997; Lund & Burgess, 1996), counted co‐occurrence events; later models, such as BEAGLE (Jones & Mewhort, 2007), replaced counting co‐occurrences with vector accumulation. All of these models learned from positive information only: Words that occur together within a context become related to each other. A recent class of distributional models, referred (...)
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  27.  97
    On the very idea of a theory of meaning for a natural language.Eugen Fischer - 1997 - Synthese 111 (1):1-8.
    A certain orthodoxy has it that understanding is essentially computational: that information about what a sentence means is something that may be generated by means of a derivational process from information about the significance of the sentences constituent parts and of the ways in which they are put together. And that it is therefore fruitful to study formal theories acceptable as compositional theories of meaning for natural languages: theories that deliver for each sentence of their object-language a theorem (...)
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  28. Thinking in Words: Language as an Embodied Medium of Thought.Guy Dove - 2014 - Topics in Cognitive Science 6 (3):371-389.
    Recently, there has been a great deal of interest in the idea that natural language enhances and extends our cognitive capabilities. Supporters of embodied cognition have been particularly interested in the way in which language may provide a solution to the problem of abstract concepts. Toward this end, some have emphasized the way in which language may act as form of cognitive scaffolding and others have emphasized the potential importance of language-based distributional information. This essay (...)
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  29.  77
    Why Can Computers Understand Natural Language?Juan Luis Gastaldi - 2020 - Philosophy and Technology 34 (1):149-214.
    The present paper intends to draw the conception of language implied in the technique of word embeddings that supported the recent development of deep neural network models in computational linguistics. After a preliminary presentation of the basic functioning of elementary artificial neural networks, we introduce the motivations and capabilities of word embeddings through one of its pioneering models, word2vec. To assess the remarkable results of the latter, we inspect the nature of its underlying mechanisms, which have been characterized as (...)
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  30. What can Neuroscience tell us about Reference?Berit Brogaard - 2019 - In Barbara Abbott & Jeanette Gundel (eds.), Handbook on Reference. Oxford University Press. pp. 365-383.
    In traditional formal semantics the notions of reference, truth and satisfaction are basic and that of representation is derivative and dispensable. If a level of representation is included in the formal presentation of the theory, it is included as a heuristic. Semantics in the traditional sense has no bearing on any form of mental processing. When reference is understood within this framework, cognitive neuroscience cannot possibly provide any insights into the nature of reference. Traditional semantics, however, has numerous shortcomings that (...)
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  31.  30
    Brain readiness and the nature of language.Denis Bouchard - 2015 - Frontiers in Psychology 6:158611.
    To identify the neural components that make a brain ready for language, it is important to have well defined linguistic phenotypes, to know precisely what language is. There are two central features to language: the capacity to form signs (words), and the capacity to combine them into complex structures. We must determine how the human brain enables these capacities. A sign is a link between a perceptual form and a conceptual meaning. Acoustic elements and content elements, are (...)
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  32.  1
    mRNA context and translation factors determine decoding in alternative nuclear genetic codes.Ali Salman, Nikita Biziaev, Ekaterina Shuvalova & Elena Alkalaeva - forthcoming - Bioessays.
    The genetic code is a set of instructions that determine how the information in our genetic material is translated into amino acids. In general, it is universal for all organisms, from viruses and bacteria to humans. However, in the last few decades, exceptions to this rule have been identified both in pro‐ and eukaryotes. In this review, we discuss the 16 described alternative eukaryotic nuclear genetic codes and observe theories of their appearance in evolution. We consider possible molecular mechanisms that (...)
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  33.  16
    Unsupervised law article mining based on deep pre-trained language representation models with application to the Italian civil code.Andrea Tagarelli & Andrea Simeri - 2022 - Artificial Intelligence and Law 30 (3):417-473.
    Modeling law search and retrieval as prediction problems has recently emerged as a predominant approach in law intelligence. Focusing on the law article retrieval task, we present a deep learning framework named LamBERTa, which is designed for civil-law codes, and specifically trained on the Italian civil code. To our knowledge, this is the first study proposing an advanced approach to law article prediction for the Italian legal system based on a BERT (Bidirectional Encoder Representations from Transformers) learning framework, which has (...)
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  34. Contesti in intelligenza artificiale: una fugace rassegna (Context in artificial intelligence: a fleeting overview).Varol Akman - 2002 - In Carlo Penco (ed.), La Svolta Contestuale. McGraw-Hill.
    The notion of context arises in assorted areas of artificial intelligence (AI), including knowledge representation, natural language processing, intelligent information retrieval, etc. Although the term ‘context’ is frequently employed in descriptions, explanations, and analyses of computer programs in these areas, its meaning is frequently left to the reader’s understanding. -/- My aim in this paper is to offer a swift review of context in AI. I will first identify the role of context in various fields of AI. I (...)
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  35.  11
    Re-contextualising Argumentative Meanings: An Adaptive Perspective.Thanh Nyan - 2017 - Argumentation 31 (2):267-299.
    The study of context can benefit greatly from re-examining some of the concepts arising from Anscombre and Ducrot’s argumentation theory from an adaptive perspective. By focusing on discourse dynamism, AT provides fresh angles from which to view key issues, such as the nature of context triggers; whether context construction is necessarily a background activity; in what way utterances set themselves up as contexts for the upcoming discourse; and the nature of the inferences whereby background knowledge and information are accessed. The (...)
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  36. Précis of foundations of language: Brain, meaning, grammar, evolution,.Ray Jackendoff - 2003 - Behavioral and Brain Sciences 26 (6):651-665.
    The goal of this study is to reintegrate the theory of generative grammar into the cognitive sciences. Generative grammar was right to focus on the child's acquisition of language as its central problem, leading to the hypothesis of an innate Universal Grammar. However, generative grammar was mistaken in assuming that the syntactic component is the sole course of combinatoriality, and that everything else is “interpretive.” The proper approach is a parallel architecture, in which phonology, syntax, and semantics are autonomous (...)
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  37.  21
    Movement as Meaning: In Experimental Film.Daniel Barnett - 2008 - Rodopi.
    This book offers sweeping and cogent arguments as to why analytic philosophers should take experimental cinema seriously as a medium for illuminating mechanisms of meaning in language. Using the analogy of the movie projector, Barnett deconstructs all communication acts into functions of interval, repetition and context. He describes how Wittgenstein's concepts of family resemblance and language games provide a dynamic perspective on the analysis of acts of reference. He then develops a hyper-simplified formula of movement as meaning to (...)
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  38.  93
    Word Senses as Clusters of Meaning Modulations: A Computational Model of Polysemy.Jiangtian Li & Marc F. Joanisse - 2021 - Cognitive Science 45 (4):e12955.
    Most words in natural languages are polysemous; that is, they have related but different meanings in different contexts. This one‐to‐many mapping of form to meaning presents a challenge to understanding how word meanings are learned, represented, and processed. Previous work has focused on solutions in which multiple static semantic representations are linked to a single word form, which fails to capture important generalizations about how polysemous words are used; in particular, the graded nature of polysemous senses, and the flexibility (...)
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  39.  17
    Compositionality in a Parallel Architecture for Language Processing.Giosuè Baggio - 2021 - Cognitive Science 45 (5):e12949.
    Compositionality has been a central concept in linguistics and philosophy for decades, and it is increasingly prominent in many other areas of cognitive science. Its status, however, remains contentious. Here, I reassess the nature and scope of the principle of compositionality (Partee, 1995) from the perspective of psycholinguistics and cognitive neuroscience. First, I review classic arguments for compositionality and conclude that they fail to establish compositionality as a property of human language. Next, I state a new competence argument, acknowledging (...)
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  40.  56
    Micro situations and macro structures: Natural-language communication and context. [REVIEW]Anita Fetzer - 2002 - Foundations of Science 7 (3):255-291.
    This contribution investigates the role ofcontext in natural-language communication bydifferentiating between linguistic andsociocultural contexts. It is firmly anchoredto a dialogue framework and based on arelational conception of context as astructured and interactionally organisedphenomenon. However, context is not onlyexamined from this bottom-up or microperspective, but also from a top-down or macroviewpoint as pre- and co-supposed socioculturalcontext. Here, context is not solely seen as aninteractionally organised phenomenon, butrather as a sociocultural apparatus whichstrongly influences the interpretation of microsituations.The section, micro building (...)
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  41. Readymades in the Social Sphere: an Interview with Daniel Peltz.Feliz Lucia Molina - 2013 - Continent 3 (1):17-24.
    Since 2008 I have been closely following the conceptual/performance/video work of Daniel Peltz. Gently rendered through media installation, ethnographic, and performance strategies, Peltz’s work reverently and warmly engages the inner workings of social systems, leaving elegant rips and tears in any given socio/cultural quilt. He engages readymades (of social and media constructions) and uses what are identified as interruptionist/interventionist strategies to disrupt parts of an existing social system, thus allowing for something other to emerge. Like the stereoscope that requires two (...)
     
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  42.  89
    The Role of Conscious Attention in Perception: Immanuel Kant, Alonzo Church, and Neuroscience.Hermann G. W. Burchard - 2011 - Foundations of Science 16 (1):67-99.
    Impressions, energy radiated by phenomena in the momentary environmental scene, enter sensory neurons, creating in afferent nerves a data stream. Following Kant, by our inner sense the mind perceives its own thoughts as it ties together sense data into an internalized scene. The mind, residing in the brain, logically a Language Machine, processes and stores items as coded grammatical entities. Kantian synthetic unity in the linguistic brain is able to deliver our experience of the scene as we appear to (...)
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  43.  4
    Meanings of social reality representation in the subculture of a creolized text (as exemplified by the Russian musical genre of chanson).Ekaterina Prilukova & Denis Rakovsky - 2023 - Sotsium I Vlast 1:109-116.
    Introduction. The rapid dynamics of the present world results in its complication and construction. Reality turns out to be woven from many quote fragments, representing a collage that a person creates and comprehends through the prism of various texts. Constantly transformable forms come to the fore and, as a result, there exists a plurality of meanings. Models of the world are continuously generated, replacing the actual reality with a multi- tude of spectacular simulacra. The search for ways to comprehend reality (...)
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  44.  7
    How ‘direct’ can a direct translation be? Some perspectives from the realities of a new type of church Bible.Christo H. J. Van der Merwe - 2016 - HTS Theological Studies 72 (3).
    The skopos of this new type of church Bible is: ‘How would the source texts of the Bible have sounded in Afrikaans in the context envisaged for its hypothesised first audience?’ Fully acknowledging the complexities of language as a dynamic and complex system embedded in the culture and conceptual world of its speakers, as well as the wide range of frames that are involved in the process of Bible translation as a difficult form of secondary communication, this article addresses (...)
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  45.  65
    Action and Language Integration: From Humans to Cognitive Robots.Anna M. Borghi & Angelo Cangelosi - 2014 - Topics in Cognitive Science 6 (3):344-358.
    The topic is characterized by a highly interdisciplinary approach to the issue of action and language integration. Such an approach, combining computational models and cognitive robotics experiments with neuroscience, psychology, philosophy, and linguistic approaches, can be a powerful means that can help researchers disentangle ambiguous issues, provide better and clearer definitions, and formulate clearer predictions on the links between action and language. In the introduction we briefly describe the papers and discuss the challenges they pose to future research. (...)
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  46. In defense of hearing meanings.Berit Brogaard - 2018 - Synthese 195 (7):2967-2983.
    According to the inferential view of language comprehension, we hear a speaker’s utterance and infer what was said, drawing on our competence in the syntax and semantics of the language together with background information. On the alternative perceptual view, fluent speakers have a non-inferential capacity to perceive the content of speech. On this view, when we hear a speaker’s utterance, the experience confers some degree of justification on our beliefs about what was said in the absence of defeaters. (...)
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  47. Ontology, natural language, and information systems: Implications of cross-linguistic studies of geographic terms.David M. Mark, Werner Kuhn, Barry Smith & A. G. Turk - 2003 - In Mark David M., Werner Kuhn, Smith Barry & Turk A. G. (eds.), 6th Annual Conference of the Association of Geographic Information Laboratories for Europe (AGILE),. pp. 45-50.
    Ontology has been proposed as a solution to the 'Tower of Babel' problem that threatens the semantic interoperability of information systems constructed independently for the same domain. In information systems research and applications, ontologies are often implemented by formalizing the meanings of words from natural languages. However, words in different natural languages sometimes subdivide the same domain of reality in terms of different conceptual categories. If the words and their associated concepts in two natural languages, or even (...)
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  48.  7
    Coding information in natural languages.John W. Oller - 1972 - The Hague,: Mouton.
  49.  11
    Belief and Context Determinacy in Interpreting Fiction.Christine Richards - 1998 - Diacritics 28 (2):81-93.
    In lieu of an abstract, here is a brief excerpt of the content:Belief and Context Determinacy in Interpreting FictionChristine Richards (bio)1Context Determinacy and the Interpretation of FictionThe Pragmatics of ReadingThe basic pragmatic structure of the reading of fiction has been described as a communicative context which has a speaker who performs the speech acts represented by the text and a hearer (addressee) to whom the speech acts are directed [Adams 12]. This model is based on the assumption that the reader (...)
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  50. Cultural Evolution and the Evolution of Cultural Information.Alejandro Gordillo-García - 2023 - Biological Theory 18 (1):30-42.
    Cultural evolution is normally framed in informational terms. However, it is not clear whether this is an adequate way to model cultural evolutionary phenomena and what, precisely, “information” is supposed to mean in this context. Would cultural evolutionary theory benefit from a well-developed theory of cultural information? The prevailing sentiment is that, in contradistinction to biology, informational language should be used nontechnically in this context for descriptive, but not explanatory, purposes. Against this view, this article makes the case for (...)
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