Search (62 results, page 1 of 4)

  • × year_i:[1990 TO 2000}
  • × theme_ss:"Computerlinguistik"
  1. Kokol, P.; Podgorelec, V.; Zorman, M.; Kokol, T.; Njivar, T.: Computer and natural language texts : a comparison based on long-range correlations (1999) 0.05
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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
  2. Sikkel, K.: Parsing schemata : a framework for specification and analysis of parsing algorithms (1996) 0.05
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    Abstract
    Parsing, the syntactic analysis of language, has been studied extensively in computer science and computational linguistics. Computer programs and natural languages share an underlying theory of formal languages and require efficient parsing algorithms. This introductions reviews the thory of parsing from a novel perspective, it provides a formalism to capture the essential traits of a parser that abstracts from the fine detail and allows a uniform description and comparison of a variety of parsers, including Earley, Tomita, LR, Left-Corner, and Head-Corner parsers. The emphasis is on context-free phrase structure grammar and how these parsers can be extended to unification formalisms. The book combines mathematical rigor with high readability and is suitable as a graduate course text
    LCSH
    Computer algorithms
    Parsing (Computer grammar)
    Subject
    Computer algorithms
    Parsing (Computer grammar)
  3. Ruge, G.: Sprache und Computer : Wortbedeutung und Termassoziation. Methoden zur automatischen semantischen Klassifikation (1995) 0.04
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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)
    Series
    Sprache und Computer; Bd.14
  4. Translating and the computer : 18th International Conference on Translating on the Computer (1996) 0.02
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  5. Kay, M.: ¬The proper place of men and machines in language translation (1997) 0.02
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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
  6. Semantik, Lexikographie und Computeranwendungen : Workshop ... (Bonn) : 1995.01.27-28 (1996) 0.02
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    Date
    14. 4.2007 10:04:22
    RSWK
    Computer / Anwendung / Computerunterstützte Lexikographie / Aufsatzsammlung
    Subject
    Computer / Anwendung / Computerunterstützte Lexikographie / Aufsatzsammlung
  7. Blanchon, E.: Terminology software : pt.1.2 (1995) 0.02
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    Abstract
    List of programs
  8. Possibilities in computer content analysis of text (1997) 0.02
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    Footnote
    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.349-409
  9. Solvberg, I.; Nordbo, I.; Aamodt, A.: Knowledge-based information retrieval (1991/92) 0.02
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    Source
    Future generations computer systems. 7(1991/92), S. -
  10. Roberts, C.W.; Popping, R.: Computer-supported content analysis : some recent developments (1993) 0.02
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    Source
    Social science computer review. 11(1993) no.3, S.283-291
  11. Pereira, C.N.; Grosz, B.J.: Natural language processing (1994) 0.02
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    LCSH
    Natural language processing (Computer science)
    Subject
    Natural language processing (Computer science)
  12. Krause, J.: Principles of content analysis for information retrieval systems : an overview (1996) 0.02
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    Source
    Text analysis and computer. Ed.: C. Züll et al
  13. Mauldin, M.L.: Conceptual information retrieval : a case study in adaptive partial parsing (1991) 0.02
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    LCSH
    Natural language processing (Computer science)
    Series
    Kluwer international series in engineering and computer science ; 152 : Natural language processing and machine translation
    Subject
    Natural language processing (Computer science)
  14. Smeaton, A.F.: Progress in the application of natural language processing to information retrieval tasks (1992) 0.01
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    Source
    Computer journal. 35(1992) no.3, S.268-278
  15. Rolland, M.T.: ¬Ein semantikorientierter Ansatz im Bereich der Sprachverarbeitung (1995) 0.01
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    Series
    Sprache und Computer; 15
  16. Mehrle, J.P.: Computer-based system for classifying documents into a hierarchy and linking the classifications to the hierarchy (1998) 0.01
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  17. Zue, V.: Dein Computer spricht mir dir (1999) 0.01
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  18. McKevitt, P.; Partridge, D.; Wilks, Y.: Why machines should analyse intention in natural language dialogue (1999) 0.01
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    Source
    International journal of human-computer studies. 51(1999) no.5, S.947-989
  19. From information to knowledge : conceptual and content analysis by computer (1995) 0.01
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    Content
    SCHMIDT, K.M.: Concepts - content - meaning: an introduction; DUCHASTEL, J. et al.: The SACAO project: using computation toward textual data analysis; PAQUIN, L.-C. u. L. DUPUY: An approach to expertise transfer: computer-assisted text analysis; HOGENRAAD, R., Y. BESTGEN u. J.-L. NYSTEN: Terrorist rhetoric: texture and architecture; MOHLER, P.P.: On the interaction between reading and computing: an interpretative approach to content analysis; LANCASHIRE, I.: Computer tools for cognitive stylistics; MERGENTHALER, E.: An outline of knowledge based text analysis; NAMENWIRTH, J.Z.: Ideography in computer-aided content analysis; WEBER, R.P. u. J.Z. Namenwirth: Content-analytic indicators: a self-critique; McKINNON, A.: Optimizing the aberrant frequency word technique; ROSATI, R.: Factor analysis in classical archaeology: export patterns of Attic pottery trade; PETRILLO, P.S.: Old and new worlds: ancient coinage and modern technology; DARANYI, S., S. MARJAI u.a.: Caryatids and the measurement of semiosis in architecture; ZARRI, G.P.: Intelligent information retrieval: an application in the field of historical biographical data; BOUCHARD, G., R. ROY u.a.: Computers and genealogy: from family reconstitution to population reconstruction; DEMÉLAS-BOHY, M.-D. u. M. RENAUD: Instability, networks and political parties: a political history expert system prototype; DARANYI, S., A. ABRANYI u. G. KOVACS: Knowledge extraction from ethnopoetic texts by multivariate statistical methods; FRAUTSCHI, R.L.: Measures of narrative voice in French prose fiction applied to textual samples from the enlightenment to the twentieth century; DANNENBERG, R. u.a.: A project in computer music: the musician's workbench
  20. Frakes, W.B.: Stemming algorithms (1992) 0.01
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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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