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  • × theme_ss:"Computerlinguistik"
  1. Hotho, A.; Bloehdorn, S.: Data Mining 2004 : Text classification by boosting weak learners based on terms and concepts (2004) 0.14 
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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
  2. Noever, D.; Ciolino, M.: ¬The Turing deception (2022) 0.09 
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    Source
    https%3A%2F%2Farxiv.org%2Fabs%2F2212.06721&usg=AOvVaw3i_9pZm9y_dQWoHi6uv0EN
  3. Huo, W.: Automatic multi-word term extraction and its application to Web-page summarization (2012) 0.07 
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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
  4. Engerer, V.: Informationswissenschaft und Linguistik. : kurze Geschichte eines fruchtbaren interdisziplinäaren Verhäaltnisses in drei Akten (2012) 0.03 
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    Source
    SDV - Sprache und Datenverarbeitung. International journal for language data processing. 36(2012) H.2, S.71-91 [= E-Books - Fakten, Perspektiven und Szenarien] 36/2 (2012), S. 71-91
  5. Alonge, A.; Calzolari, N.; Vossen, P.; Bloksma, L.; Castellon, I.; Marti, M.A.; Peters, W.: ¬The linguistic design of the EuroWordNet database (1998) 0.03 
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    Source
    Computers and the humanities. 32(1998) no.1, S.91-115
  6. Semantik, Lexikographie und Computeranwendungen : Workshop ... (Bonn) : 1995.01.27-28 (1996) 0.02 
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    Classification
    Spr B 68 / Computerlinguistik
    Date
    14. 4.2007 10:04:22
    SBB
    Spr B 68 / Computerlinguistik
  7. Endres-Niggemeyer, B.: Sprachverarbeitung im Informationsbereich (1989) 0.02 
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  8. Natürlichsprachlicher Entwurf von Informationssystemen (1996) 0.02 
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    Editor
    Ortner, E., B. Schienmann u. H. Thoma
  9. Caseiro, D.: Automatic language identification bibliography : Last Update: 20 September 1999 (1999) 0.01 
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  10. Luo, L.; Ju, J.; Li, Y.-F.; Haffari, G.; Xiong, B.; Pan, S.: ChatRule: mining logical rules with large language models for knowledge graph reasoning (2023) 0.01 
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    Date
    23.11.2023 19:07:22
  11. Brychcín, T.; Konopík, M.: HPS: High precision stemmer (2015) 0.01 
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    Source
    Information processing and management. 51(2015) no.1, S.68-91
  12. Campe, P.: Case, semantic roles, and grammatical relations : a comprehensive bibliography (1994) 0.01 
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  13. Vichot, F.; Wolinksi, F.; Tomeh, J.; Guennou, S.; Dillet, B.; Aydjian, S.: High precision hypertext navigation based on NLP automation extractions (1997) 0.01 
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  14. Jones, D.: Analogical natural language processing (1996) 0.01 
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    Classification
    Spr B 68 / Computerlinguistik
    SBB
    Spr B 68 / Computerlinguistik
  15. Sabourin, C.F. (Bearb.): Computational linguistics in information science : bibliography (1994) 0.01 
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  16. Dreehsen, B.: ¬Der PC als Dolmetscher (1998) 0.01 
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  17. Sprachtechnologie : ein Überblick (2012) 0.01 
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    Abstract
    Seit mehr als einem halben Jahrhundert existieren ernsthafte und ernst zu nehmende Versuche, menschliche Sprache maschinell zu verarbeiten. Maschinelle Übersetzung oder "natürliche" Dialoge mit Computern gehören zu den ersten Ideen, die den Bereich der späteren Computerlinguistik oder Sprachtechnologie abgesteckt und deren Vorhaben geleitet haben. Heute ist dieser auch maschinelle Sprachverarbeitung (natural language processing, NLP) genannte Bereich stark ausdiversifiziert: Durch die rapide Entwicklung der Informatik ist vieles vorher Unvorstellbare Realität (z. B. automatische Telefonauskunft), einiges früher Unmögliche immerhin möglich geworden (z. B. Handhelds mit Sprachein- und -ausgabe als digitale persönliche (Informations-)Assistenten). Es gibt verschiedene Anwendungen der Computerlinguistik, von denen einige den Sprung in die kommerzielle Nutzung geschafft haben (z. B. Diktiersysteme, Textklassifikation, maschinelle Übersetzung). Immer noch wird an natürlichsprachlichen Systemen (natural language systems, NLS) verschiedenster Funktionalität (z. B. zur Beantwortung beliebiger Fragen oder zur Generierung komplexer Texte) intensiv geforscht, auch wenn die hoch gesteckten Ziele von einst längst nicht erreicht sind (und deshalb entsprechend "heruntergefahren" wurden). Wo die maschinelle Sprachverarbeitung heute steht, ist allerdings angesichts der vielfältigen Aktivitäten in der Computerlinguistik und Sprachtechnologie weder offensichtlich noch leicht in Erfahrung zu bringen (für Studierende des Fachs und erst recht für Laien). Ein Ziel dieses Buches ist, es, die aktuelle Literaturlage in dieser Hinsicht zu verbessern, indem spezifisch systembezogene Aspekte der Computerlinguistik als Überblick über die Sprachtechnologie zusammengetragen werden.
  18. Rettinger, A.; Schumilin, A.; Thoma, S.; Ell, B.: Learning a cross-lingual semantic representation of relations expressed in text (2015) 0.01 
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  19. Hofstadter, D.: Artificial neural networks today are not conscious (2022) 0.01 
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    Content
    Vgl. auch: Agüera y Arcas, B.: Artificial neural networks are making strides towards consciousness..
  20. Agüera y Arcas, B.: Artificial neural networks are making strides towards consciousness (2022) 0.01 
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Authors

Years

Languages

  • e 72
  • d 30
  • m 5
  • f 2
  • More… Less…

Types

  • a 76
  • el 16
  • m 14
  • s 12
  • b 3
  • x 3
  • p 2
  • d 1
  • More… Less…

Themes

Subjects

Classifications