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  • × subject_ss:"Computational linguistics"
  1. Gödert, W.; Lepsky, K.; Nagelschmidt, M.: Informationserschließung und Automatisches Indexieren : ein Lehr- und Arbeitsbuch (2011) 0.11
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    Footnote
    Rez. in: ABI Technik 32(2012) H.2, S.113-114 (F. Förster)
    LCSH
    Information storage and retrieval systems
    RSWK
    Automatische Indexierung
    Information Retrieval
    Subject
    Information storage and retrieval systems
    Automatische Indexierung
    Information Retrieval
    Theme
    Grundlagen u. Einführungen: Allgemeine Literatur
  2. Witschel, H.F.: Terminologie-Extraktion : Möglichkeiten der Kombination statistischer uns musterbasierter Verfahren (2004) 0.04
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    Abstract
    Die Suche nach Informationen in unstrukturierten natürlichsprachlichen Daten ist Gegenstand des sogenannten Text Mining. In dieser Arbeit wird ein Teilgebiet des Text Mining beleuchtet, nämlich die Extraktion domänenspezifischer Fachbegriffe aus Fachtexten der jeweiligen Domäne. Wofür überhaupt Terminologie-Extraktion? Die Antwort darauf ist einfach: der Schlüssel zum Verständnis vieler Fachgebiete liegt in der Kenntnis der zugehörigen Terminologie. Natürlich genügt es nicht, nur eine Liste der Fachtermini einer Domäne zu kennen, um diese zu durchdringen. Eine solche Liste ist aber eine wichtige Voraussetzung für die Erstellung von Fachwörterbüchern (man denke z.B. an Nachschlagewerke wie das klinische Wörterbuch "Pschyrembel"): zunächst muß geklärt werden, welche Begriffe in das Wörterbuch aufgenommen werden sollen, bevor man sich Gedanken um die genaue Definition der einzelnen Termini machen kann. Ein Fachwörterbuch sollte genau diejenigen Begriffe einer Domäne beinhalten, welche Gegenstand der Forschung in diesem Gebiet sind oder waren. Was liegt also näher, als entsprechende Fachliteratur zu betrachten und das darin enthaltene Wissen in Form von Fachtermini zu extrahieren? Darüberhinaus sind weitere Anwendungen der Terminologie-Extraktion denkbar, wie z.B. die automatische Beschlagwortung von Texten oder die Erstellung sogenannter Topic Maps, welche wichtige Begriffe zu einem Thema darstellt und in Beziehung setzt. Es muß also zunächst die Frage geklärt werden, was Terminologie eigentlich ist, vor allem aber werden verschiedene Methoden entwickelt, welche die Eigenschaften von Fachtermini ausnutzen, um diese aufzufinden. Die Verfahren werden aus den linguistischen und 'statistischen' Charakteristika von Fachbegriffen hergeleitet und auf geeignete Weise kombiniert.
    RSWK
    Automatische Indexierung
    Subject
    Automatische Indexierung
  3. Mauldin, M.L.: Conceptual information retrieval : a case study in adaptive partial parsing (1991) 0.02
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    LCSH
    FERRET (Information retrieval system)
    Information storage and retrieval
    RSWK
    Freitextsuche / Information Retrieval
    Information Retrieval / Expertensystem
    Syntaktische Analyse Information Retrieval
    Series
    Kluwer international series in engineering and computer science ; 152 : Natural language processing and machine translation
    Subject
    Freitextsuche / Information Retrieval
    Information Retrieval / Expertensystem
    Syntaktische Analyse Information Retrieval
    FERRET (Information retrieval system)
    Information storage and retrieval
  4. Computerlinguistik und Sprachtechnologie : Eine Einführung (2010) 0.01
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    Abstract
    Dieses Lehrbuch bietet eine umfassende Einführung in Grundlagen und Methoden der Computerlinguistik und stellt die wichtigsten Anwendungsgebiete in der Sprachtechnologie vor. Es richtet sich gleichermaßen an Studierende der Computerlinguistik und verwandter Fächer mit Bezug zur Verarbeitung natürlicher Sprache wie an Entwickler sprachverarbeitender Systeme. Nach einem Überblick über Aufgaben und Ziele der Computerlinguistik werden die erforderlichen theoretischen Grundlagen zur Logik, den Formalen Sprachen, der Graphentheorie, den statistischen Verfahren sowie der Texttechnologie beispielbezogen erläutert. Es schließt sich eine Darstellung der verschiedenen Methoden für die Verarbeitung auf den linguistischen Beschreibungsebenen an. Dabei werden zunächst die grundlegenden Begriffe und Konzepte der Phonetik und Phonologie, Morphologie, Syntax, Semantik sowie der Pragmatik vermittelt und darauf aufbauend die Prinzipien der sprachtechnologischen Umsetzung behandelt. Die drei letzten Teile des Buchs geben Überblicke über die verwendeten sprachtechnologischen Informationsquellen, die vielfältigen Anwendungen in der Praxis sowie über Evaluationsverfahren für sprachverarbeitende Systeme. Anhand konkreter Fragestellungen - von der Entwicklung von Korrekturprogrammen über das Informationsmanagement bis zur Maschinellen Übersetzung - wird das Zusammenwirken der einzelnen Methoden aufgezeigt. Für die dritte Auflage wurden sämtliche Kapitel überarbeitet und aktualisiert sowie zum Teil zu eigenständigen, neuen Kapiteln zusammengeführt. Insbesondere trägt die dritte Auflage der rasanten Entwicklung in der Computerlinguistik und Sprachtechnologie durch eine stärkere Fokussierung auf statistische Grundlagen und Methoden Rechnung. "Durch dieses Handbuch wird für den deutschsprachigen Raum eine empfindliche Lücke geschlossen. Es umfasst die relevanten Aspekte computerlinguistischer Grundlagenwissenschaft und sprachtechnologischer Anwendung in eindrucksvoller Breite und auf aktuellem Stand." [Manfred Pinkal]
    Issue
    3., überarb. u. erw. Aufl.
    Theme
    Grundlagen u. Einführungen: Allgemeine Literatur
  5. Kuhlen, R.: Experimentelle Morphologie in der Informationswissenschaft (1977) 0.01
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    Content
    Zugl.: Regensburg, Univ., Diss. u.d.T.: Kuhlen, Rainer: Flexine und Derivative in der maschinellen Verarbeitung englischer Texte
    LCSH
    Information storage and retrieval systems
    Subject
    Information storage and retrieval systems
  6. Manning, C.D.; Schütze, H.: Foundations of statistical natural language processing (2000) 0.01
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    Abstract
    Statistical approaches to processing natural language text have become dominant in recent years. This foundational text is the first comprehensive introduction to statistical Natural Language Processing (NLP) to appear. The book contains all the theory and algorithms needed for building NLP tools. It provides broad but rigorous coverage of mathematical and linguistic foundations, as well as detailed discussion of statistical methods, allowing students and researchers to construct their own implementations. The book covers collocation finding, word sense disambiguation, probabilistic parsing, information retrieval, and other applications.
  7. Texte verstehen : Konzepte, Methoden, Werkzeuge (1994) 0.00
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    Editor
    Boehm, A., A. Mengel u. T. Muhr
  8. Hodgson, J.P.E.: Knowledge representation and language in AI (1991) 0.00
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    Abstract
    The aim of this book is to highlight the relationship between knowledge representation and language in artificial intelligence, and in particular on the way in which the choice of representation influences the language used to discuss a problem - and vice versa. Opening with a discussion of knowledge representation methods, and following this with a look at reasoning methods, the author begins to make his case for the intimate relationship between language and representation. He shows how each representation method fits particularly well with some reasoning methods and less so with others, using specific languages as examples. The question of representation change, an important and complex issue about which very little is known, is addressed. Dr Hodgson gathers together recent work on problem solving, showing how, in some cases, it has been possible to use representation changes to recast problems into a language that makes them easier to solve. The author maintains throughout that the relationships that this book explores lie at the heart of the construction of large systems, examining a number of the current large AI systems from the viewpoint of representation and language to prove his point.
    Series
    Ellis Horwood series in artificial intelligence
  9. Jones, D.: Analogical natural language processing (1996) 0.00
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    Footnote
    Rez. in: Machine translation 12(1997) no.3, S.253-259 (G. Grefenstette)
    Series
    Studies in computational linguistics
  10. Sikkel, K.: Parsing schemata : a framework for specification and analysis of parsing algorithms (1996) 0.00
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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
  11. Seelbach, D.: Computerlinguistik und Dokumentation : keyphrases in Dokumentationsprozessen (1975) 0.00
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  • m 11
  • s 1

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