Search (43 results, page 1 of 3)

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Abstract

'Long-range power low correlation' (LRC) is defined as a maximal propagation distance of the effect of some disturbance within a system found in many systems that can be represented as strings of symbols. LRC between characters has also been identified in natural language texts. The aim of this article is to show that long-range power law correlations can also be found in computer programs, meaning that some common laws hold for both natural language texts and computer programs. This fact enables one to draw parallels between these 2 different types of human writings, and also enables one to measure the differences between them

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Abstract

Machine translation stands no chance of filling actual needs for translation because, although there has been progress in relevant areas of computer science, advance in linguistics have not touched the core problems. Cooperative man-machine systems need to be developed, Proposes a translator's amanuensis, incorporating into a word processor some simple facilities peculiar to translation. Gradual enhancements of such a system could lead to the original goal of machine translation

Date

31. 7.1996 9:22:19

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Abstract

List of programs

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Source

Future generations computer systems. 7(1991/92), S. -

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Source

Social science computer review. 11(1993) no.3, S.283-291

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Source

Text analysis and computer. Ed.: C. Züll et al

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Source

Computer journal. 35(1992) no.3, S.268-278

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Series

Sprache und Computer; 15

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Source

International journal of human-computer studies. 51(1999) no.5, S.947-989

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Abstract

Desribes stemming algorithms - programs that relate morphologically similar indexing and search terms. Stemming is used to improve retrieval effectiveness and to reduce the size of indexing files. Several approaches to stemming are describes - table lookup, affix removal, successor variety, and n-gram. empirical studies of stemming are summarized. The Porter stemmer is described in detail, and a full implementation in C is presented

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Abstract

Seit langer Zeit arbeiten Wissenschaftler an einer Automatisierung von Übersetzungen - bislang nur mit bescheidenem Erfolg. Zu teuer - zu starr - zu ungenau, das waren die wesentlichen Hindernisse bei der computergestützten Übersetzung. Mit dem 'PT' (Personal Translator) setzt IBM nach dem 'PC' (Personal Computer) wieder einen Meilenstein

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Footnote

Contribution to a symposium based on presentations made at a panel of the 7th annual Conference of the Social Science Computing Association entitled Possibilities in Computer Content Analysis of Text, Minneapolis, Minnesota, USA, 1996

Source

Social science computer review. 15(1997) no.4, S.394-409

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Abstract

Computer linguistics continues to be in need of an integrative language-theory model. Maria Theresia Rolland proposes such a model in her book 'Sprachverarbeitung durch Logotechnik' (1994). Relying upon the language theory of Leo Weisgerber, she pursues a pure 'content oriented' approach, by which she understands an approach in terms of the semantics of words. Starting from the 'implications' of word-contents, she attempts to construct a complete grammar of the German language. The reviewer begins his comments with an immanent critique, calling attention to a number of serious contradictions in Rolland's concept, among them, her refusal to take syntax into account despite its undeniable real presence.In the second part of his comments, the reviewer then takes up his own semiotic language theory published in 1981, showing that semantics is but one of four semiotic dimensions of language, the other dimanesion being the sigmatic, the pragmatic and the syntactic. Without taking all four dimensions into account, no theory can offer an adequate integrative language model. Indeed, without all four dimensions, one cannot even develop an adequate grammar of German sentence construction. The fourfold semiotic model dicloses as well the universally valid structures of language as the intersubjective expression of human self-awareness. Only on the basis of these universal structures, it is argued, is it possible to identify the specific structures of a native-language, and that on all four levels. This position has important consequences for the problems of computer translation and the comparative study and use of languages

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Abstract

Systran, the European Commission's multilingual machine translation system, is a fast service which is available to all Commission officials. The computer cannot match the skills of the professional translator, who must continue to be responsible for all texts which are legally binding or which are for publication. But machine translation can deal, in a matter of minutes, with short-lived documents, designed, say, for information or preparatory work, and which are required urgently. It can also give a broad view of a paper in an unfamiliar language, so that an official can decide how much, if any, of it needs to go to translators

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Abstract

Analyzed a special type of man-mchine interaction, that of searching an information system with natural language. A model for full text processing for information retrieval was proposed that considered the system's users and how they employ information. Describes how INIST (the National Institute for Scientific and Technical Information) is developing computer assisted indexing as an aid to improving relevance when retrieving information from bibliographic data banks

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Abstract

This progress report presents findings from a failure analysis of 2 commercial full text computer assisted legal research (CALR) systems. Linguistic analyzes of unretrieved documents als false drops reveal a number of potential causes for performance problems in these databases, ranging from synonymy and homography to discourse level cohesive relations. Ecxamines and discusses examples of natural language phenomena that affects Boolean retrieval system performance

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Abstract

The paper presents 2 different types of computer-based retrieval systems for text-type specific information ranging from phrases to whole standardized passages. The first part describes the structure of a full-text database for text prototypes, the second part, ways of storing text-type specific phrases and passages an a combined terminological and textographic database. The program used to illustrate this second kind of retrieval system is the terminology system CATS, which the Terminology Centre at the Faculty of Applied Linguistics and Cultural Studies of the University of Mainz in Germersheim uses for its FASTERM database

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