Search (247 results, page 1 of 13)

  • × theme_ss:"Computerlinguistik"
  1. Hotho, A.; Bloehdorn, S.: Data Mining 2004 : Text classification by boosting weak learners based on terms and concepts (2004) 0.04
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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. Lezius, W.; Rapp, R.; Wettler, M.: ¬A morphology-system and part-of-speech tagger for German (1996) 0.04
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    Date
    22. 3.2015 9:37:18
  3. Noever, D.; Ciolino, M.: ¬The Turing deception (2022) 0.03
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    Source
    https%3A%2F%2Farxiv.org%2Fabs%2F2212.06721&usg=AOvVaw3i_9pZm9y_dQWoHi6uv0EN
  4. Koppel, M.; Akiva, N.; Dagan, I.: Feature instability as a criterion for selecting potential style markers (2006) 0.03
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    Abstract
    We introduce a new measure on linguistic features, called stability, which captures the extent to which a language element such as a word or a syntactic construct is replaceable by semantically equivalent elements. This measure may be perceived as quantifying the degree of available "synonymy" for a language item. We show that frequent, but unstable, features are especially useful as discriminators of an author's writing style.
  5. Way, E.C.: Knowledge representation and metaphor (oder: meaning) (1994) 0.03
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    Footnote
    Bereits 1991 bei Kluwer publiziert // Rez. in: Knowledge organization 22(1995) no.1, S.48-49 (O. Sechser)
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    m
  6. Ruge, G.: Sprache und Computer : Wortbedeutung und Termassoziation. Methoden zur automatischen semantischen Klassifikation (1995) 0.03
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    Footnote
    Rez. in: Knowledge organization 22(1995) no.3/4, S.182-184 (M.T. Rolland)
    Type
    m
  7. Kay, M.: ¬The proper place of men and machines in language translation (1997) 0.03
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    Date
    31. 7.1996 9:22:19
  8. Melby, A.: Some notes on 'The proper place of men and machines in language translation' (1997) 0.03
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    Abstract
    Responds to Kay, M.: The proper place of men and machines in language translation. Examines the appropriateness of machine translation (MT) under the following special circumstances: controlled domain-specific text and high-quality output; controlled domain-specific text and indicative output; dynamic general text and indicative output and dynamic general text and high-quality output. MT is appropriate in the 1st 3 cases but the 4th case requires human translation. Examines how MT research could be more useful for aiding human translation
    Date
    31. 7.1996 9:22:19
  9. Sienel, J.; Weiss, M.; Laube, M.: Sprachtechnologien für die Informationsgesellschaft des 21. Jahrhunderts (2000) 0.02
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    Date
    26.12.2000 13:22:17
  10. Computational linguistics for the new millennium : divergence or synergy? Proceedings of the International Symposium held at the Ruprecht-Karls Universität Heidelberg, 21-22 July 2000. Festschrift in honour of Peter Hellwig on the occasion of his 60th birthday (2002) 0.02
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    Editor
    Klenner, M. u. H. Visser
    Type
    m
  11. Perovsek, M.; Kranjca, J.; Erjaveca, T.; Cestnika, B.; Lavraca, N.: TextFlows : a visual programming platform for text mining and natural language processing (2016) 0.02
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    Abstract
    Text mining and natural language processing are fast growing areas of research, with numerous applications in business, science and creative industries. This paper presents TextFlows, a web-based text mining and natural language processing platform supporting workflow construction, sharing and execution. The platform enables visual construction of text mining workflows through a web browser, and the execution of the constructed workflows on a processing cloud. This makes TextFlows an adaptable infrastructure for the construction and sharing of text processing workflows, which can be reused in various applications. The paper presents the implemented text mining and language processing modules, and describes some precomposed workflows. Their features are demonstrated on three use cases: comparison of document classifiers and of different part-of-speech taggers on a text categorization problem, and outlier detection in document corpora.
  12. Rorvig, M.; Smith, M.M.; Uemura, A.: ¬The N-gram hypothesis applied to matched sets of visualized Japanese-English technical documents (1999) 0.02
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    Abstract
    Shape Recovery Analysis (SHERA), a new visual analytical technique, is applied to the N-Gram hypothesis on matched Japanese-English technical documents supplied by the National Center for Science Information Systems (NACSIS) in Japan. The results of the SHERA study reveal compaction in the translation of Japanese subject terms to English subject terms. Surprisingly, the bigram approach to the Japanese data yields a remarkable similarity to the matching visualized English texts
  13. Warner, A.J.: Natural language processing (1987) 0.02
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    Source
    Annual review of information science and technology. 22(1987), S.79-108
  14. Pinker, S.: Wörter und Regeln : Die Natur der Sprache (2000) 0.02
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    Date
    19. 7.2002 14:22:31
    Type
    m
  15. Semantik, Lexikographie und Computeranwendungen : Workshop ... (Bonn) : 1995.01.27-28 (1996) 0.02
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    Date
    14. 4.2007 10:04:22
    Type
    m
  16. McMahon, J.G.; Smith, F.J.: Improved statistical language model performance with automatic generated word hierarchies (1996) 0.02
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    Source
    Computational linguistics. 22(1996) no.2, S.217-248
  17. Ruge, G.: ¬A spreading activation network for automatic generation of thesaurus relationships (1991) 0.02
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    Date
    8.10.2000 11:52:22
  18. Somers, H.: Example-based machine translation : Review article (1999) 0.02
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    Date
    31. 7.1996 9:22:19
  19. New tools for human translators (1997) 0.02
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    Date
    31. 7.1996 9:22:19
  20. Baayen, R.H.; Lieber, H.: Word frequency distributions and lexical semantics (1997) 0.02
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    Date
    28. 2.1999 10:48:22

Languages

  • e 171
  • d 70
  • m 6
  • ru 1
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Types

  • a 136
  • m 92
  • s 25
  • el 22
  • x 4
  • b 2
  • d 2
  • p 2
  • r 1
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Classifications