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Content

Vgl.: http://www.google.de/url?sa=t&rct=j&q=&esrc=s&source=web&cd=1&cad=rja&ved=0CEAQFjAA&url=http%3A%2F%2Fciteseerx.ist.psu.edu%2Fviewdoc%2Fdownload%3Fdoi%3D10.1.1.91.4940%26rep%3Drep1%26type%3Dpdf&ei=dOXrUMeIDYHDtQahsIGACg&usg=AFQjCNHFWVh6gNPvnOrOS9R3rkrXCNVD-A&sig2=5I2F5evRfMnsttSgFF9g7Q&bvm=bv.1357316858,d.Yms.

Date

8. 1.2013 10:22:32

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Source

https%3A%2F%2Farxiv.org%2Fabs%2F2212.06721&usg=AOvVaw3i_9pZm9y_dQWoHi6uv0EN

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Content

A Thesis presented to The University of Guelph In partial fulfilment of requirements for the degree of Master of Science in Computer Science. Vgl. Unter: http://www.inf.ufrgs.br%2F~ceramisch%2Fdownload_files%2Fpublications%2F2009%2Fp01.pdf.

Date

10. 1.2013 19:22:47

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Abstract

Describes the basic artificial intelligence techniques in linguistic knowledge processing which attempts to get machines to understand natural languages. Focusses on how computing techniques can model the communication process. Briefly examines the theoretical and practical importance of this field. Introduces a sample of theories used to represent linguistic knowledge. Present semantic representations (various logics and semantic networks) and examines pragmatic aspects of communication (of discourse analysis). Describes parsing systems. Addresses architectural issues. Shows why Distributed Artificial Intelligence and reflective systems offers the best framework taking examples from the CARAMEL (Comprehension Automatique de Recites, Apprentissage et Modelisation des Exchanges langagiers)

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Abstract

Natural Language is not only the most important means of communication between human beings, it is also used over historical periods for the preservation of cultural achievements and their transmission from one generation to the other. During the last few decades, the flod of digitalized information has been growing tremendously. This tendency will continue with the globalisation of information societies and with the growing importance of national and international computer networks. This is one reason why the theoretical understanding and the automated treatment of communication processes based on natural language have such a decisive social and economic impact. In this context, the semantic representation of knowledge originally formulated in natural language plays a central part, because it connects all components of natural language processing systems, be they the automatic understanding of natural language (analysis), the rational reasoning over knowledge bases, or the generation of natural language expressions from formal representations. This book presents a method for the semantic representation of natural language expressions (texts, sentences, phrases, etc.) which can be used as a universal knowledge representation paradigm in the human sciences, like linguistics, cognitive psychology, or philosophy of language, as well as in computational linguistics and in artificial intelligence. It is also an attempt to close the gap between these disciplines, which to a large extent are still working separately.

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Abstract

The paper aims to present the relations of network theory and terminology. The model of scale-free networks, which has been recently developed and widely applied since, can be effectively used in terminology research as well. Operation based on the principle of networks is a universal characteristic of complex systems. Networks are governed by general laws. The model of scale-free networks can be viewed as a statistical-probability model, and it can be described with mathematical tools. Its main feature is that "everything is connected to everything else," that is, every node is reachable (in a few steps) starting from any other node; this phenomena is called "the small world phenomenon." The existence of a linguistic network and the general laws of the operation of networks enable us to place issues of language use in the complex system of relations that reveal the deeper connection s between phenomena with the help of networks embedded in each other. The realization of the metaphor that language also has a network structure is the basis of the classification methods of the terminological system, and likewise of the ways of creating terminology databases, which serve the purpose of providing easy and versatile accessibility to specialised knowledge.

Date

2. 9.2014 21:22:48

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Content

Enthält folgende Kapitel: (1) Motivation; (2) Language philosophical foundations; (3) Structural comparison of extensions; (4) Earlier approaches towards term association; (5) Experiments; (6) Spreading-activation networks or memory models; (7) Perspective. Appendices: Heads and modifiers of 'car'. Glossary. Index. Language and computer. Word semantics and term association. Methods towards an automatic semantic classification

Footnote

Rez. in: Knowledge organization 22(1995) no.3/4, S.182-184 (M.T. Rolland)

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LCSH

Communication / Technological innovations
Communication / Data processing

Subject

Communication / Technological innovations
Communication / Data processing

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Source

WordNet: an electronic lexical database (language, speech and communication). Ed.: C. Fellbaum

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Abstract

The radical changes in information and communication techniques at the end of the 20th century have significantly modified the function of terminology and its applications in all forms of communication. The introduction of new mediums has deeply changed the possibilities of distribution of scientific information. What in this situation is the role of terminology and its practical applications? What is the place for multiple functions of terminology in the communication society? What is the impact of natural language (NLP) techniques used in its processing and management? In this article we will focus an the possibilities NLP techniques offer and how they can be directed towards the satisfaction of the newly expressed needs.

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Content

Vgl. auch: Agüera y Arcas, B.: Artificial neural networks are making strides towards consciousness..

Source

¬The Economist. 2022, [https://www.economist.com/by-invitation/2022/06/09/artificial-neural-networks-today-are-not-conscious-according-to-douglas-hofstadter?giftId=81ea03d7-78f3-4e84-8824-6aa9dac9ab01]

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Content

Vgl. auch: Hofstadter, D.: Artificial neural networks today are not conscious.

Source

¬The Economist. 2022, [https://www.economist.com/by-invitation/2022/06/09/artificial-neural-networks-are-making-strides-towards-consciousness-according-to-blaise-aguera-y-arcas?giftId=89e08696-9884-4670-b164-df58fffdf067]

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Source

International information communication and education. 11(1992) no.2, S.256-258

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Abstract

Considers aspects of language and linguistic studies that directly affect information handling including: electronic word processing (hyphenation, spelling correction, dictionary-based synonym provision); man-machine communication; machine understanding of spoken language; automatic indexing; and machine translation

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LCSH

Communication
Information Systems and Communication Service

Subject

Communication
Information Systems and Communication Service

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Abstract

Uses a semantic field 'linguistic communication' of 735 verbs to verify two numerically based methods working with the semic cooccurrence interval due to the semic micro-structure of a lexeme. The weak point of this procedure is the one-stage classification of the semantic features (semes) of the field

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Abstract

Analyses the role-played by discourse markers in any communication process and the complex process involved in translating them. The analysis is conducted from a pragmatic standpoint and stresses the importance of context in determining the preference for 1 marker over another. Illustrates this process, presenting examples in both French and English. Makes suggestions on parameters, which should be taken into consideration for natural language processing applications

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Series

Brief communication

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Abstract

The role of linguistics in information access, extraction and dissemination is essential. Radical changes in the techniques of information and communication at the end of the twentieth century have had a significant effect on the function of the linguistic paradigm and its applications in all forms of communication. The introduction of new technical means have deeply changed the possibilities for the distribution of information. In this situation, what is the role of the linguistic paradigm and its practical applications, i.e., natural language processing (NLP) techniques when applied to information access? What solutions can linguistics offer in human computer interaction, extraction and management? Many fields show the relevance of the linguistic paradigm through the various technologies that require NLP, such as document and message understanding, information detection, extraction, and retrieval, question and answer, cross-language information retrieval (CLIR), text summarization, filtering, and spoken document retrieval. This paper focuses on the central role of human language technologies in the information society, surveys the current situation, describes the benefits of the above mentioned applications, outlines successes and challenges, and discusses solutions. It reviews the resources and means needed to advance information access and dissemination across language boundaries in the twenty-first century. Multilingualism, which is a natural result of globalization, requires more effort in the direction of language technology. The scope of human language technology (HLT) is large, so we limit our review to applications that involve multilinguality.

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