Search (66 results, page 1 of 4)

  • × theme_ss:"Computerlinguistik"
  1. Lezius, W.: Morphy - Morphologie und Tagging für das Deutsche (2013) 0.12
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    Date
    22. 3.2015 9:30:24
  2. Lorenz, S.: Konzeption und prototypische Realisierung einer begriffsbasierten Texterschließung (2006) 0.09
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    Abstract
    Im Rahmen dieser Arbeit wird eine Vorgehensweise entwickelt, die die Fixierung auf das Wort und die damit verbundenen Schwächen überwindet. Sie gestattet die Extraktion von Informationen anhand der repräsentierten Begriffe und bildet damit die Basis einer inhaltlichen Texterschließung. Die anschließende prototypische Realisierung dient dazu, die Konzeption zu überprüfen sowie ihre Möglichkeiten und Grenzen abzuschätzen und zu bewerten. Arbeiten zum Information Extraction widmen sich fast ausschließlich dem Englischen, wobei insbesondere im Bereich der Named Entities sehr gute Ergebnisse erzielt werden. Deutlich schlechter sehen die Resultate für weniger regelmäßige Sprachen wie beispielsweise das Deutsche aus. Aus diesem Grund sowie praktischen Erwägungen wie insbesondere der Vertrautheit des Autors damit, soll diese Sprache primär Gegenstand der Untersuchungen sein. Die Lösung von einer engen Termorientierung bei gleichzeitiger Betonung der repräsentierten Begriffe legt nahe, dass nicht nur die verwendeten Worte sekundär werden sondern auch die verwendete Sprache. Um den Rahmen dieser Arbeit nicht zu sprengen wird bei der Untersuchung dieses Punktes das Augenmerk vor allem auf die mit unterschiedlichen Sprachen verbundenen Schwierigkeiten und Besonderheiten gelegt.
    Date
    22. 3.2015 9:17:30
  3. Hotho, A.; Bloehdorn, S.: Data Mining 2004 : Text classification by boosting weak learners based on terms and concepts (2004) 0.08
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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
  4. Warner, A.J.: Natural language processing (1987) 0.04
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    Source
    Annual review of information science and technology. 22(1987), S.79-108
  5. Kunze, C.; Wagner, A.: Anwendungsperspektive des GermaNet, eines lexikalisch-semantischen Netzes für das Deutsche (2001) 0.04
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  6. Voss, O.: Übersetzer überflüssig? : Sprachsoftware DeepL und Acrolinx (2019) 0.04
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    Abstract
    Deutsche Sprachsoftware ist besser als Google. Sogar professionelle Übersetzer diskutieren schon, ob sie überflüssig werden.
  7. McMahon, J.G.; Smith, F.J.: Improved statistical language model performance with automatic generated word hierarchies (1996) 0.04
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    Source
    Computational linguistics. 22(1996) no.2, S.217-248
  8. Ruge, G.: ¬A spreading activation network for automatic generation of thesaurus relationships (1991) 0.04
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    Date
    8.10.2000 11:52:22
  9. Somers, H.: Example-based machine translation : Review article (1999) 0.04
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    Date
    31. 7.1996 9:22:19
  10. New tools for human translators (1997) 0.04
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    Date
    31. 7.1996 9:22:19
  11. Baayen, R.H.; Lieber, H.: Word frequency distributions and lexical semantics (1997) 0.04
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    Date
    28. 2.1999 10:48:22
  12. ¬Der Student aus dem Computer (2023) 0.04
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    Date
    27. 1.2023 16:22:55
  13. Dreehsen, B.: ¬Der PC als Dolmetscher (1998) 0.04
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    Abstract
    Für englische Web-Seiten und fremdsprachige Korrespondenz ist Übersetzungssoftware hilfreich, die per Mausklick den Text ins Deutsche überträgt und umgekehrt. Die neuen Versionen geben den Inhalt sinngemäß bereits gut wieder. CHIP hat die Leistungen von 5 Programmen getestet
  14. Byrne, C.C.; McCracken, S.A.: ¬An adaptive thesaurus employing semantic distance, relational inheritance and nominal compound interpretation for linguistic support of information retrieval (1999) 0.03
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    Date
    15. 3.2000 10:22:37
  15. Boleda, G.; Evert, S.: Multiword expressions : a pain in the neck of lexical semantics (2009) 0.03
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    Date
    1. 3.2013 14:56:22
  16. Monnerjahn, P.: Vorsprung ohne Technik : Übersetzen: Computer und Qualität (2000) 0.03
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    Source
    c't. 2000, H.22, S.230-231
  17. Wittek, B.R.: Schöne neue Abfragewelt : Datenbank-Zugangssysteme auf der Basis natürlicher Sprache (1994) 0.03
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    Abstract
    Kann die deutsche Sprache als Datenbankabfragesprache eingesetzt werden? Seit Jahrzehnten wurde diese Frage verneint, weil klare Kriterien für die Formalisierung natürlicher Sprache und Werkzeuge für eine kostengünstige Durchführung fehlten. Allerdings darf diese Frage wieder gestellt werden, seitdem Techniken für deren Formalisierung zunehmend zur Verfügung stehen. Dieser Artikel beschreibt, was auf dem Gebiet der natürlichen Sprache als Basis für die Datenbankabfrage heute schon möglich ist
  18. Rolland, M.T.: Grammatikstandardisierung im Bereich der Sprachverarbeitung (1996) 0.03
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    Abstract
    Jede Sprache hat ihre eigene Struktur und weist damit ihre spezifische, von der Semantik her bedingte Grammatik auf. Es wird verdeutlicht, in welcher Weise für eine Sprache, hier für die deutsche Sprache, eine umfassende Grammatik erstellt werden kann. Die prinzipiellen Verfahrensweisen gelten auch für andere Sprachen. Eine solche Grammatik stellt keine Teilgrammatik dar, sondern macht die gesamt in einer Sprache enthaltene Struktur explizit. Daher ist sie im Bereich der Sprachverarbeitung als einheitliche Grundlage in den verschiedensten Sachgebieten anwendbar. Eine Grammatik dieser Art kann insbesondere zum Aufbau von Dialogsystemen und maschinellen Übersetzungssystemen dienen
  19. Deutsche Forschungsgemeinschaft: Stellungnahme des Präsidiums der Deutschen Forschungsgemeinschaft (DFG) zum Einfluss generativer Modelle für die Text- und Bilderstellung auf die Wissenschaften und das Förderhandeln der DFG (2023) 0.03
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  20. Hutchins, J.: From first conception to first demonstration : the nascent years of machine translation, 1947-1954. A chronology (1997) 0.03
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    Date
    31. 7.1996 9:22:19

Years

Languages

  • e 38
  • d 28

Types

  • a 50
  • m 8
  • el 7
  • s 5
  • p 2
  • x 2
  • d 1
  • More… Less…