Sign (semiotics)

About: Sign (semiotics) is a research topic. Over the lifetime, 4080 publications have been published within this topic receiving 70333 citations. The topic is also known as: semiotic sign.

Knowledge in Formation: A Computational Theory of Interpretation

Abstract: Humans have an extraordinary capability to combine different types of information in a single meaningful interpretation. The quickness with which interpretation processes evolve suggests the existence of a uniform procedure for all domains. In this book the authors suggest that such a procedure can be found. They concentrate on the introduction of a theory of interpretation, and they define a model that enables a meaningful representation of knowledge, based on a dynamic view of information and a cognitive model of human information processing.The book consists of three parts. The first part focuses on the properties of signs and sign interpretation; in the second part the authors introduce a model that complies with the conditions for sign processing set by the first part; and in the third part they examine applications of their model in the domain of logic, natural language, reasoning and mathematics. Finally they show how these domains pop up as perspectives in an overall model of knowledge representation.The reader is assumed to have some interest in human information processing and knowledge modeling. Natural language is considered in the obvious sense, familiarity with linguistic theories is not required. Sign theoretical concepts are restricted to a manageable subset, which is introduced gently. Finally, some familiarity with basic concepts of propositional and syllogistic logic may be useful.

Peirce, phenomenology and semiotics

Abstract: Semiotics (or semeiotics) is a field of research that began in earnest with the innovative thought of Charles Sanders Peirce but that only began to be explored within mainstream disciplines in the late 1930s (for the history of sign theory and precursors to Peirce’s semiotics see Deely 2001a). At the opening of the twentieth century, Josiah Royce at Harvard, and a few philosophers in Europe, gave some attention to Peirce’s theory of signs, but it was in the 1930s and 40s that the Unity of Science philosophers, largely at the urging of Charles Morris, recognized the importance of the systematic study of signs and of sign relations and, through Morris’s influence on Carnap, incorporated a limited form of Peirce’s tripartite science into philosophy with their famous trilogy: syntactics, semantics and pragmatics. But semiotics, as a complete science, soon became marginalized and largely abandoned by philosophy and it survived by finding refuge in linguistics and in the interdisciplinary research programme founded by Morris’s student, Thomas A. Sebeok. During the last generation, with the weakening of the hegemony of Analytic philosophy, semiotics has shown evidence of returning to philosophy and other established disciplines; this is especially true in Europe and South America. It remains to be seen if semiotics will survive as an interdisciplinary field of research as Sebeok believed it should be, or if it will evolve into a discipline in its own right, as seems to be happening with informatics, or if it will devolve into a variety of discipline-specific programmes.

Acquiring a communication system by sign and speech in a child with Down syndrome: a longitudinal investigation:

Abstract: This article reports on a longitudinal investigation of a child with Down syndrome who was taught to communicate initially by sign but who later became an entirely oral communicator. The article reports the rate and frequency of his first 50 signs and first 43 oral words along with a follow-up of his oral communication. The data suggest that early sign training enhanced the child's later speech production.

A Dataset for Linguistic Understanding, Visual Evaluation, and Recognition of Sign Languages: The K-RSL

Abstract: The paper presents the first dataset that aims to serve interdisciplinary purposes for the utility of computer vision community and sign language linguistics. To date, a majority of Sign Language Recognition (SLR) approaches focus on recognising sign language as a manual gesture recognition problem. However, signers use other articulators: facial expressions, head and body position and movement to convey linguistic information. Given the important role of non-manual markers, this paper proposes a dataset and presents a use case to stress the importance of including non-manual features to improve the recognition accuracy of signs. To the best of our knowledge no prior publicly available dataset exists that explicitly focuses on non-manual components responsible for the grammar of sign languages. To this end, the proposed dataset contains 28250 videos of signs of high resolution and quality, with annotation of manual and non-manual components. We conducted a series of evaluations in order to investigate whether non-manual components would improve signs’ recognition accuracy. We release the dataset to encourage SLR researchers and help advance current progress in this area toward real-time sign language interpretation. Our dataset will be made publicly available at https://krslproject.github.io/krsl-corpus

From meaning to signs and back:Lexicography and the Swedish Sign Language Corpus

Abstract: In this paper, we will present the advantages of having a reference dictionary, and how having a corpus makes dictionary making easier and more effective. It also gives a new perspective on sign en ...