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Books on the topic 'Text indexing'

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Published: 4 June 2021
Last updated: 1 February 2022

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1

Rasmussen Neal, Diane, ed. Indexing and Retrieval of Non-Text Information. Berlin, Boston: DE GRUYTER SAUR, 2012. http://dx.doi.org/10.1515/9783110260588.

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2

Silvester, June P. Machine aided indexing from natural language text. Washington, D. C: NASA, Scientific and Technical Information Program, 1993.

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3

Gonnet, G. H. Lexicographical indices for text: Inverted files vs. PAT trees. Waterloo: Centre for the New OED and Text Research, University of Waterloo, 1991.

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4

Alistair, Moffat, and Bell Timothy C, eds. Managing gigabytes: Compressing and indexing documents and images. New York: Van Nostrand Reinhold, 1994.

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5

Qurʼanic text: Toward a retrieval system. Herndon, Va: International Institute of Islamic Thought, 1996.

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6

Sabourin, Conrad. Computational linguistics in information science: Information retrieval (full-text or conceptual), automatic indexing, text abstraction, content analysis, information extraction, query languages : bibliography. Montréal: Infolingua, 1994.

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7

Weinberg, Bella Hass. Education and training in indexing and abstracting: A directory of courses and workshops offered in the United States and Canada, with a bibliography of text-books used in indexing and abstracting courses. 3rd ed. New York: American Society of Indexers, 1985.

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8

Textual information access: Statistical models. London: ISTE, 2011.

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9

Ibekwe-SanJuan, Fidelia. Fouille de textes: Méthodes, outils et applications. Paris: Hermès science publications, 2007.

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10

Automatic indexing and abstracting of document texts. Boston: Kluwer Academic Publishers, 2000.

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11

Standardization, International Organization for. Information and documentation: Records management. Geneva: ISO, 2001.

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12

Standardization, International Organization for. Information and documentation: Records management. Geneva: ISO, 2001.

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13

Standardization, International Organization for. Information and documentation--: Records management processes-- metadata for records. Geneva: ISO, 2004.

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14

Standardization, International Organization for. Information and documentation--: Electronic manuscript preparation and markup = Information et documentation-- préparation du manuscrit électronique et balisage. Genève, Switizerland: International Organization for Standardization, 1994.

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15

Standardization, International Organization for. Information and documentation--: Records management processes-- metadata for records. Geneva: ISO, 2006.

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16

Standardization, International Organization for. Information and documentation--: Library performance indicators = Information et documentation-- indicateurs de performance des bibliothèques. Geneva: ISO, 1998.

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17

Standardization, International Organization for. Information and documentation--: Guidelines for the content, organization and presentation of indexes = Information et documentation -- principes directeurs pour l'élaboration, la structure et la présentation des index. 2nd ed. Genève: ISO, 1996.

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18

Standardization, International Organization for. Information and documentation: Paper for documents : requirements for permanence = Information et documentation : papier pour documents : prescriptions pour la permanence. Gen`eva: ISO, 1994.

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19

Standardization, International Organization for. Information and documentation: Permanence and durability of writing, printing and copying on paper : requirements and test methods = Information et documentation : permanence et durabilité de l'écriture, de l'impression et de la reprographie sur papier : prescriptions et méthodes d'essai. Gen`eve: ISO, 1999.

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20

Seo, Eun-Gyoung. An experiment in automatic indexing with Korean texts: A comparison of syntactico-statistical and manual methods. Ann Arbor, Mich: University Microfilms International, 1993.

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21

Panel, FID/BSO. BSO referral test: Panel's report 1983. The Hague: Published by FID/BSO Panel for Fédération Internationale de Documentation (FID) [and] United Nations Educational, Scientific and Cultural Organization (UNESCO), 1985.

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22

Nencioni, Francesca, ed. A Giuseppe Dessí. Lettere di amici e lettori. Florence: Firenze University Press, 2009. http://dx.doi.org/10.36253/978-88-6453-031-4.

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This book, the result of a lengthy labour of cataloguing and research, continues the indexing and recording of the unpublished epistolary material conserved in the Dessí fond, launched in 2003 by Chiara Andrei with the edition of the family correspondence (Firenze, FUP). Now, through 1,900 letters from friends and readers, Francesca Nencioni offers a different and more ample overview of the fundamental stages in the life and works of the writer, focusing above all on the years of his university training in Pisa. Of particular interest is the appendix of carefully annotated unpublished texts, which offers 19 letters from Dessí to friends and scholars, the complete two-way correspondence with Walter Binni, and the letters sent to the friend and disciple of the great historian, Delio Cantimori. Press reviews: 26/10/2009: Dessì e la voce "lontana e bianca" del 1955 12/2009: "L'immaginazione" n. 251
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23

Facing the Text: Content and Structure in Book Indexing. Cedar Row Press, 2004.

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24

Neal, Diane Rasmussen. Indexing and Retrieval of Non-Text Information. De Gruyter, Inc., 2012.

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25

1945-, Fidel Raya, and American Society for Information Science., eds. Challenges in indexing electronic text and images. Medford, NJ: Published for the American Society for Information Science by Learned Information, 1994.

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26

Neal, Diane Rasmussen. Indexing and Retrieval of Non-Text Information. De Gruyter, Inc., 2012.

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27

Fosegan, Joseph S. Alphabetic Indexing Rules: Application by Computer, Student Text. 4th ed. South-Western Educational Pub, 2002.

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28

Schema theory in the representation and analysis of text. Ann Arbor, Mich: University Microfilms International, 1985.

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29

Machine aided indexing from natural language text: Status report. [Washington, D.C.]: National Aeronautics and Space Administration, Scientific and Technical Information Program, 1993.

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30

Machine aided indexing from natural language text: Status report. [Washington, D.C.]: National Aeronautics and Space Administration, Scientific and Technical Information Program, 1993.

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31

Dykstra, Mary. The structured encoding of document content: A logico-linguistic study of PRECIS as a possible model in the shift from indexing to automated text analysis. 1986.

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32

Atiyyah, Hani M. Quranic Text: Toward a Retrieval System. Intl Inst of Islamic Thought, 1994.

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33

United States. National Aeronautics and Space Administration. Scientific and Technical Information Program., ed. Knowledge-based machine indexing from natural language text: Knowledge based design, development and maintenance. [Washington, DC]: National Aeronautics and Space Administration, Scientific and Technical Information Program, 1993.

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34

United States. National Aeronautics and Space Administration. Scientific and Technical Information Program., ed. Knowledge-based machine indexing from natural language text: Knowledge based design, development and maintenance. [Washington, DC]: National Aeronautics and Space Administration, Scientific and Technical Information Program, 1993.

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35

Knowledge-based machine indexing from natural language text: Knowledge based design, development and maintenance. [Washington, DC]: National Aeronautics and Space Administration, Scientific and Technical Information Program, 1993.

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36

Gaussier, Eric, and Francois Yvon. Textual Information Access: Statistical Models. Wiley & Sons, Incorporated, John, 2013.

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37

Gaussier, Eric, and Francois Yvon. Textual Information Access: Statistical Models. Wiley & Sons, Incorporated, John, 2013.

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38

Gaussier, Eric, and Francois Yvon. Textual Information Access: Statistical Models. Wiley & Sons, Incorporated, John, 2013.

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39

Managing Gigabytes: Compressing and Indexing Documents and Images (The Morgan Kaufmann Series in Multimedia Information and Systems). 2nd ed. Morgan Kaufmann, 1999.

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40

Automatic Indexing and Abstracting of Document Texts. Boston: Kluwer Academic Publishers, 2002. http://dx.doi.org/10.1007/b116177.

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41

Oberhauser, Otto. Automatisches Klassifizieren: Entwicklungsstand--Methodik--Anwendungsbereiche Mit Einem Vorworth Von Winfried Godert (Europaische Hochschulschriften: Reihe 41, Informatik). Peter Lang Publishing, 2005.

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42

Byford, John, and Keith V. Trickey. Aacr, Ddc, Marc and Friends: The Role of Cig in Bibliographic Control. Library Association Publishing (UK), 1993.

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43

John, Byford, Trickey Keith V, and Woodhouse Susi, eds. AACR, DDC, MARC and friends: The role of CIG in bibliographic control. London: Library Association Pub., 1993.

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44

Innovative Document Summarization Techniques Revolutionizing Knowledge Understanding. Idea Group,U.S., 2014.

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45

Tzoukermann, Evelyne, Judith L. Klavans, and Tomek Strzalkowski. Information Retrieval. Edited by Ruslan Mitkov. Oxford University Press, 2012. http://dx.doi.org/10.1093/oxfordhb/9780199276349.013.0029.

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Information retrieval (IR) involves retrieving information from stored data, through user queries or pre-formulated user profiles. The information can be in any format. IR typically advances over four broad stages viz., identification of text types, document preprocessing, document indexing, and query processing and matching the same to documents. Although NLP has a role to play in IR, the procedural complexities of the latter impede determination of the stage of incorporation of the former into the latter. Earliest attempts at connecting NLP with IR, were extremely ambitious, proposing concepts instead of terms, as complex structures, to be compared using sophisticated algorithms. In its current state, IR still comes in handy, to retrieve information from various thesauri and ontologies, both in general-purpose lexical databases, as well as those categorizing knowledge in particular scientific and trade domains. However, NLP has yet to prove a better compatibility with IR, in enhancing the latter.
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46

Wu, Zimin. A partial syntactic analysis-based pre-processor for automatic indexing and retrieval of Chinese texts. 1992.

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47

Berber, Stevan. Discrete Communication Systems. Oxford University Press, 2021. http://dx.doi.org/10.1093/oso/9780198860792.001.0001.

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The book present essential theory and practice of the discrete communication systems design, based on the theory of discrete time stochastic processes, and their relation to the existing theory of digital communication systems. Using the notion of stochastic linear time invariant systems, in addition to the orhogonality principles, a general structure of the discrete communication system is constructed in terms of mathematical operators. Based on this structure, the MPSK, MFSK, QAM, OFDM and CDMA systems, using discrete modulation methods, are deduced as special cases. The signals are processed in the time and frequency domain, which requires precise derivatives of their amplitude spectral density functions, correlation functions and related energy and pover spectral densities. The book is self-sufficient, because it uses the unified notation both in the main ten chapters explaining communications systems theory and nine supplementary chapters dealing with the continuous and discrete time signal processing for both the deterministic and stochastic signals. In this context, the indexing of vital signals and finctions makes obvious distinction beteween them. Having in mind the controversial nature of the continuous time white Gaussian noise process, a separate chapter is dedicated to the noise discretisation by introducing notions of noise entropy and trauncated Gaussian density function to avoid limitations in applying the Nyquist criterion. The text of the book is acompained by the solutions of problems for all chapters and a set of deign projects with the defined projects’ topics and tasks and offered solutions.
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