Search (282 results, page 1 of 15)

  • × theme_ss:"Computerlinguistik"
  1. Hotho, A.; Bloehdorn, S.: Data Mining 2004 : Text classification by boosting weak learners based on terms and concepts (2004) 0.07
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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. Semantik, Lexikographie und Computeranwendungen : Workshop ... (Bonn) : 1995.01.27-28 (1996) 0.06
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    Classification
    Spr F 510
    Spr F 87 / Lexikographie
    Date
    14. 4.2007 10:04:22
    SBB
    Spr F 510
    Spr F 87 / Lexikographie
    Type
    m
  3. Noever, D.; Ciolino, M.: ¬The Turing deception (2022) 0.06
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    Source
    https%3A%2F%2Farxiv.org%2Fabs%2F2212.06721&usg=AOvVaw3i_9pZm9y_dQWoHi6uv0EN
  4. Latzer, F.-M.: Yo Computa! (1997) 0.05
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  5. Hull, D.; Ait-Mokhtar, S.; Chuat, M.; Eisele, A.; Gaussier, E.; Grefenstette, G.; Isabelle, P.; Samulesson, C.; Segand, F.: Language technologies and patent search and classification (2001) 0.04
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  6. Rieger, F.: Lügende Computer (2023) 0.04
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    Date
    16. 3.2023 19:22:55
  7. Schneider, J.W.; Borlund, P.: ¬A bibliometric-based semiautomatic approach to identification of candidate thesaurus terms : parsing and filtering of noun phrases from citation contexts (2005) 0.03
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    Date
    8. 3.2007 19:55:22
    Source
    Context: nature, impact and role. 5th International Conference an Conceptions of Library and Information Sciences, CoLIS 2005 Glasgow, UK, June 2005. Ed. by F. Crestani u. I. Ruthven
  8. Lezius, W.; Rapp, R.; Wettler, M.: ¬A morphology-system and part-of-speech tagger for German (1996) 0.03
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    Date
    22. 3.2015 9:37:18
  9. Ahmad, F.; Yusoff, M.; Sembok, T.M.T.: Experiments with a stemming algorithm for Malay words (1996) 0.03
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  10. Colace, F.; Santo, M. De; Greco, L.; Napoletano, P.: Weighted word pairs for query expansion (2015) 0.03
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  11. Natural language processing and speech technology : Results of the 3rd KONVENS Conference, Bielefeld, October 1996 (1996) 0.02
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    Content
    Enthält u.a. die Beiträge: HILDEBRANDT, B. u.a.: Kognitive Modellierung von Sprach- und Bildverstehen; KELLER, F.: How do humans deal with ungrammatical input? Experimental evidence and computational modelling; MARX, J:: Die 'Computer-Talk-These' in der Sprachgenerierung: Hinweise zur Gestaltung natürlichsprachlicher Zustandsanzeigen in multimodalen Informationssystemen; SCHULTZ, T. u. H. SOLTAU: Automatische Identifizierung spontan gesprochener Sprachen mit neuronalen Netzen; WAUSCHKUHN, O.: Ein Werkzeug zur partiellen syntaktischen Analyse deutscher Textkorpora; LEZIUS, W., R. RAPP u. M. WETTLER: A morphology-system and part-of-speech tagger for German; KONRAD, K. u.a.: CLEARS: ein Werkzeug für Ausbildung und Forschung in der Computerlinguistik
    Language
    m
  12. Way, E.C.: Knowledge representation and metaphor (oder: meaning) (1994) 0.02
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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
  13. Ruge, G.: Sprache und Computer : Wortbedeutung und Termassoziation. Methoden zur automatischen semantischen Klassifikation (1995) 0.02
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    Footnote
    Rez. in: Knowledge organization 22(1995) no.3/4, S.182-184 (M.T. Rolland)
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    m
  14. Fattah, M. Abdel; Ren, F.: English-Arabic proper-noun transliteration-pairs creation (2008) 0.02
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    Abstract
    Proper nouns may be considered the most important query words in information retrieval. If the two languages use the same alphabet, the same proper nouns can be found in either language. However, if the two languages use different alphabets, the names must be transliterated. Short vowels are not usually marked on Arabic words in almost all Arabic documents (except very important documents like the Muslim and Christian holy books). Moreover, most Arabic words have a syllable consisting of a consonant-vowel combination (CV), which means that most Arabic words contain a short or long vowel between two successive consonant letters. That makes it difficult to create English-Arabic transliteration pairs, since some English letters may not be matched with any romanized Arabic letter. In the present study, we present different approaches for extraction of transliteration proper-noun pairs from parallel corpora based on different similarity measures between the English and romanized Arabic proper nouns under consideration. The strength of our new system is that it works well for low-frequency proper noun pairs. We evaluate the new approaches presented using two different English-Arabic parallel corpora. Most of our results outperform previously published results in terms of precision, recall, and F-Measure.
  15. Sprachtechnologie für eine dynamische Wirtschaft im Medienzeitalter - Language technologies for dynamic business in the age of the media - L'ingénierie linguistique au service de la dynamisation économique à l'ère du multimédia : Tagungsakten der XXVI. Jahrestagung der Internationalen Vereinigung Sprache und Wirtschaft e.V., 23.-25.11.2000 Fachhochschule Köln (2000) 0.02
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    Content
    Enthält die Beiträge: WRIGHT, S.E.: Leveraging terminology resources across application boundaries: accessing resources in future integrated environments; PALME, K.: E-Commerce: Verhindert Sprache Business-to-business?; RÜEGGER, R.: Die qualität der virtuellen Information als Wettbewerbsvorteil: Information im Internet ist Sprache - noch; SCHIRMER, K. u. J. HALLER: Zugang zu mehrsprachigen Nachrichten im Internet; WEISS, A. u. W. WIEDEN: Die Herstellung mehrsprachiger Informations- und Wissensressourcen in Unternehmen; FULFORD, H.: Monolingual or multilingual web sites? An exploratory study of UK SMEs; SCHMIDTKE-NIKELLA, M.: Effiziente Hypermediaentwicklung: Die Autorenentlastung durch eine Engine; SCHMIDT, R.: Maschinelle Text-Ton-Synchronisation in Wissenschaft und Wirtschaft; HELBIG, H. u.a.: Natürlichsprachlicher Zugang zu Informationsanbietern im Internet und zu lokalen Datenbanken; SIENEL, J. u.a.: Sprachtechnologien für die Informationsgesellschaft des 21. Jahrhunderts; ERBACH, G.: Sprachdialogsysteme für Telefondienste: Stand der Technik und zukünftige Entwicklungen; SUSEN, A.: Spracherkennung: Akteulle Einsatzmöglichkeiten im Bereich der Telekommunikation; BENZMÜLLER, R.: Logox WebSpeech: die neue Technologie für sprechende Internetseiten; JAARANEN, K. u.a.: Webtran tools for in-company language support; SCHMITZ, K.-D.: Projektforschung und Infrastrukturen im Bereich der Terminologie: Wie kann die Wirtschaft davon profitieren?; SCHRÖTER, F. u. U. MEYER: Entwicklung sprachlicher Handlungskompetenz in englisch mit hilfe eines Multimedia-Sprachlernsystems; KLEIN, A.: Der Einsatz von Sprachverarbeitungstools beim Sprachenlernen im Intranet; HAUER, M.: Knowledge Management braucht Terminologie Management; HEYER, G. u.a.: Texttechnologische Anwendungen am Beispiel Text Mining
    Language
    m
    Type
    m
  16. 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) 0.02
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    Date
    23.11.2023 19:07:22
  17. Vichot, F.; Wolinksi, F.; Tomeh, J.; Guennou, S.; Dillet, B.; Aydjian, S.: High precision hypertext navigation based on NLP automation extractions (1997) 0.02
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  18. Martínez, F.; Martín, M.T.; Rivas, V.M.; Díaz, M.C.; Ureña, L.A.: Using neural networks for multiword recognition in IR (2003) 0.02
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    Source
    Challenges in knowledge representation and organization for the 21st century: Integration of knowledge across boundaries. Proceedings of the 7th ISKO International Conference Granada, Spain, July 10-13, 2002. Ed.: M. López-Huertas
  19. Kay, M.: ¬The proper place of men and machines in language translation (1997) 0.02
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    Date
    31. 7.1996 9:22:19
  20. Melby, A.: Some notes on 'The proper place of men and machines in language translation' (1997) 0.02
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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

Languages

  • e 195
  • d 75
  • f 6
  • m 6
  • ru 1
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Types

  • a 169
  • m 92
  • el 25
  • s 25
  • x 4
  • b 2
  • d 2
  • p 2
  • r 1
  • More… Less…

Subjects

Classifications