Search (334 results, page 1 of 17)

  • × theme_ss:"Computerlinguistik"
  1. Hotho, A.; Bloehdorn, S.: Data Mining 2004 : Text classification by boosting weak learners based on terms and concepts (2004) 0.41 
    0.4050102 = product of:
  0.5670143 = sum of:
    0.034518216 = product of:
      0.17259108 = sum of:
        0.17259108 = weight(_text_:3a in 562) [ClassicSimilarity], result of:
          0.17259108 = score(doc=562,freq=2.0), product of:
            0.3070917 = queryWeight, product of:
              8.478011 = idf(docFreq=24, maxDocs=44218)
              0.03622214 = queryNorm
            0.56201804 = fieldWeight in 562, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              8.478011 = idf(docFreq=24, maxDocs=44218)
              0.046875 = fieldNorm(doc=562)
      0.2 = coord(1/5)
    0.17259108 = weight(_text_:2f in 562) [ClassicSimilarity], result of:
      0.17259108 = score(doc=562,freq=2.0), product of:
        0.3070917 = queryWeight, product of:
          8.478011 = idf(docFreq=24, maxDocs=44218)
          0.03622214 = queryNorm
        0.56201804 = fieldWeight in 562, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          8.478011 = idf(docFreq=24, maxDocs=44218)
          0.046875 = fieldNorm(doc=562)
    0.17259108 = weight(_text_:2f in 562) [ClassicSimilarity], result of:
      0.17259108 = score(doc=562,freq=2.0), product of:
        0.3070917 = queryWeight, product of:
          8.478011 = idf(docFreq=24, maxDocs=44218)
          0.03622214 = queryNorm
        0.56201804 = fieldWeight in 562, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          8.478011 = idf(docFreq=24, maxDocs=44218)
          0.046875 = fieldNorm(doc=562)
    0.17259108 = weight(_text_:2f in 562) [ClassicSimilarity], result of:
      0.17259108 = score(doc=562,freq=2.0), product of:
        0.3070917 = queryWeight, product of:
          8.478011 = idf(docFreq=24, maxDocs=44218)
          0.03622214 = queryNorm
        0.56201804 = fieldWeight in 562, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          8.478011 = idf(docFreq=24, maxDocs=44218)
          0.046875 = fieldNorm(doc=562)
    0.0147228 = product of:
      0.0294456 = sum of:
        0.0294456 = weight(_text_:22 in 562) [ClassicSimilarity], result of:
          0.0294456 = score(doc=562,freq=2.0), product of:
            0.12684377 = queryWeight, product of:
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.03622214 = queryNorm
            0.23214069 = fieldWeight in 562, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.046875 = fieldNorm(doc=562)
      0.5 = coord(1/2)
  0.71428573 = coord(5/7)
    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. Huo, W.: Automatic multi-word term extraction and its application to Web-page summarization (2012) 0.39 
    0.39343736 = product of:
  0.5508123 = sum of:
    0.018316243 = product of:
      0.045790605 = sum of:
        0.02197135 = weight(_text_:retrieval in 563) [ClassicSimilarity], result of:
          0.02197135 = score(doc=563,freq=2.0), product of:
            0.109568894 = queryWeight, product of:
              3.024915 = idf(docFreq=5836, maxDocs=44218)
              0.03622214 = queryNorm
            0.20052543 = fieldWeight in 563, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.024915 = idf(docFreq=5836, maxDocs=44218)
              0.046875 = fieldNorm(doc=563)
        0.023819257 = weight(_text_:system in 563) [ClassicSimilarity], result of:
          0.023819257 = score(doc=563,freq=2.0), product of:
            0.11408355 = queryWeight, product of:
              3.1495528 = idf(docFreq=5152, maxDocs=44218)
              0.03622214 = queryNorm
            0.20878783 = fieldWeight in 563, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.1495528 = idf(docFreq=5152, maxDocs=44218)
              0.046875 = fieldNorm(doc=563)
      0.4 = coord(2/5)
    0.17259108 = weight(_text_:2f in 563) [ClassicSimilarity], result of:
      0.17259108 = score(doc=563,freq=2.0), product of:
        0.3070917 = queryWeight, product of:
          8.478011 = idf(docFreq=24, maxDocs=44218)
          0.03622214 = queryNorm
        0.56201804 = fieldWeight in 563, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          8.478011 = idf(docFreq=24, maxDocs=44218)
          0.046875 = fieldNorm(doc=563)
    0.17259108 = weight(_text_:2f in 563) [ClassicSimilarity], result of:
      0.17259108 = score(doc=563,freq=2.0), product of:
        0.3070917 = queryWeight, product of:
          8.478011 = idf(docFreq=24, maxDocs=44218)
          0.03622214 = queryNorm
        0.56201804 = fieldWeight in 563, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          8.478011 = idf(docFreq=24, maxDocs=44218)
          0.046875 = fieldNorm(doc=563)
    0.17259108 = weight(_text_:2f in 563) [ClassicSimilarity], result of:
      0.17259108 = score(doc=563,freq=2.0), product of:
        0.3070917 = queryWeight, product of:
          8.478011 = idf(docFreq=24, maxDocs=44218)
          0.03622214 = queryNorm
        0.56201804 = fieldWeight in 563, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          8.478011 = idf(docFreq=24, maxDocs=44218)
          0.046875 = fieldNorm(doc=563)
    0.0147228 = product of:
      0.0294456 = sum of:
        0.0294456 = weight(_text_:22 in 563) [ClassicSimilarity], result of:
          0.0294456 = score(doc=563,freq=2.0), product of:
            0.12684377 = queryWeight, product of:
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.03622214 = queryNorm
            0.23214069 = fieldWeight in 563, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.046875 = fieldNorm(doc=563)
      0.5 = coord(1/2)
  0.71428573 = coord(5/7)
    Abstract
    In this thesis we propose three new word association measures for multi-word term extraction. We combine these association measures with LocalMaxs algorithm in our extraction model and compare the results of different multi-word term extraction methods. Our approach is language and domain independent and requires no training data. It can be applied to such tasks as text summarization, information retrieval, and document classification. We further explore the potential of using multi-word terms as an effective representation for general web-page summarization. We extract multi-word terms from human written summaries in a large collection of web-pages, and generate the summaries by aligning document words with these multi-word terms. Our system applies machine translation technology to learn the aligning process from a training set and focuses on selecting high quality multi-word terms from human written summaries to generate suitable results for web-page summarization.
    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
  3. Noever, D.; Ciolino, M.: ¬The Turing deception (2022) 0.32 
    0.31559512 = product of:
  0.55229145 = sum of:
    0.034518216 = product of:
      0.17259108 = sum of:
        0.17259108 = weight(_text_:3a in 862) [ClassicSimilarity], result of:
          0.17259108 = score(doc=862,freq=2.0), product of:
            0.3070917 = queryWeight, product of:
              8.478011 = idf(docFreq=24, maxDocs=44218)
              0.03622214 = queryNorm
            0.56201804 = fieldWeight in 862, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              8.478011 = idf(docFreq=24, maxDocs=44218)
              0.046875 = fieldNorm(doc=862)
      0.2 = coord(1/5)
    0.17259108 = weight(_text_:2f in 862) [ClassicSimilarity], result of:
      0.17259108 = score(doc=862,freq=2.0), product of:
        0.3070917 = queryWeight, product of:
          8.478011 = idf(docFreq=24, maxDocs=44218)
          0.03622214 = queryNorm
        0.56201804 = fieldWeight in 862, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          8.478011 = idf(docFreq=24, maxDocs=44218)
          0.046875 = fieldNorm(doc=862)
    0.17259108 = weight(_text_:2f in 862) [ClassicSimilarity], result of:
      0.17259108 = score(doc=862,freq=2.0), product of:
        0.3070917 = queryWeight, product of:
          8.478011 = idf(docFreq=24, maxDocs=44218)
          0.03622214 = queryNorm
        0.56201804 = fieldWeight in 862, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          8.478011 = idf(docFreq=24, maxDocs=44218)
          0.046875 = fieldNorm(doc=862)
    0.17259108 = weight(_text_:2f in 862) [ClassicSimilarity], result of:
      0.17259108 = score(doc=862,freq=2.0), product of:
        0.3070917 = queryWeight, product of:
          8.478011 = idf(docFreq=24, maxDocs=44218)
          0.03622214 = queryNorm
        0.56201804 = fieldWeight in 862, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          8.478011 = idf(docFreq=24, maxDocs=44218)
          0.046875 = fieldNorm(doc=862)
  0.5714286 = coord(4/7)
    Source
    https%3A%2F%2Farxiv.org%2Fabs%2F2212.06721&usg=AOvVaw3i_9pZm9y_dQWoHi6uv0EN
  4. Frederichs, A.: Natürlichsprachige Abfrage und 3-D-Visualisierung von Wissenszusammenhängen (2007) 0.04 
    0.037072238 = product of:
  0.12975283 = sum of:
    0.005178697 = product of:
      0.025893483 = sum of:
        0.025893483 = weight(_text_:retrieval in 566) [ClassicSimilarity], result of:
          0.025893483 = score(doc=566,freq=4.0), product of:
            0.109568894 = queryWeight, product of:
              3.024915 = idf(docFreq=5836, maxDocs=44218)
              0.03622214 = queryNorm
            0.23632148 = fieldWeight in 566, product of:
              2.0 = tf(freq=4.0), with freq of:
                4.0 = termFreq=4.0
              3.024915 = idf(docFreq=5836, maxDocs=44218)
              0.0390625 = fieldNorm(doc=566)
      0.2 = coord(1/5)
    0.12457414 = weight(_text_:abfrage in 566) [ClassicSimilarity], result of:
      0.12457414 = score(doc=566,freq=2.0), product of:
        0.28580084 = queryWeight, product of:
          7.890225 = idf(docFreq=44, maxDocs=44218)
          0.03622214 = queryNorm
        0.43587744 = fieldWeight in 566, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          7.890225 = idf(docFreq=44, maxDocs=44218)
          0.0390625 = fieldNorm(doc=566)
  0.2857143 = coord(2/7)
    Abstract
    Eine der größten Herausforderungen für alle technischen Anwendungen ist die sogenannte Mensch-Maschine-Schnittstelle, also der Problemkreis, wie der bedienende Mensch mit der zu bedienenden Technik kommunizieren kann. Waren die Benutzungsschnittstellen bis Ende der Achtziger Jahre vor allem durch die Notwendigkeit des Benutzers geprägt, sich an die Erfordernisse der Maschine anzupassen, so wurde mit Durchsetzung grafischer Benutzungsoberflächen zunehmend versucht, die Bedienbarkeit so zu gestalten, dass ein Mensch auch ohne größere Einarbeitung in die Lage versetzt werden sollte, seine Befehle der Technik - letztlich also dem Computer - zu übermitteln. Trotz aller Fortschritte auf diesem Gebiet blieb immer die Anforderung, der Mensch solle auf die ihm natürlichste Art und Weise kommunizieren können, mit menschlicher Sprache. Diese Anforderung gilt gerade auch für das Retrieval von Informationen: Warum ist es nötig, die Nutzung von Booleschen Operatoren zu erlernen, nur um eine Suchanfrage stellen zu können? Ein anderes Thema ist die Frage nach der Visualisierung von Wissenszusammenhängen, die sich der Herausforderung stellt, in einem geradezu uferlos sich ausweitenden Informationsangebot weiterhin den Überblick behalten und relevante Informationen schnellstmöglich finden zu können.
    Theme
    Semantisches Umfeld in Indexierung u. Retrieval
  5. Winterschladen, S.; Gurevych, I.: ¬Die perfekte Suchmaschine : Forschungsgruppe entwickelt ein System, das artverwandte Begriffe finden soll (2006) 0.03 
    0.02650278 = product of:
  0.09275973 = sum of:
    0.0055578267 = product of:
      0.027789133 = sum of:
        0.027789133 = weight(_text_:system in 5912) [ClassicSimilarity], result of:
          0.027789133 = score(doc=5912,freq=8.0), product of:
            0.11408355 = queryWeight, product of:
              3.1495528 = idf(docFreq=5152, maxDocs=44218)
              0.03622214 = queryNorm
            0.2435858 = fieldWeight in 5912, product of:
              2.828427 = tf(freq=8.0), with freq of:
                8.0 = termFreq=8.0
              3.1495528 = idf(docFreq=5152, maxDocs=44218)
              0.02734375 = fieldNorm(doc=5912)
      0.2 = coord(1/5)
    0.0872019 = weight(_text_:abfrage in 5912) [ClassicSimilarity], result of:
      0.0872019 = score(doc=5912,freq=2.0), product of:
        0.28580084 = queryWeight, product of:
          7.890225 = idf(docFreq=44, maxDocs=44218)
          0.03622214 = queryNorm
        0.3051142 = fieldWeight in 5912, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          7.890225 = idf(docFreq=44, maxDocs=44218)
          0.02734375 = fieldNorm(doc=5912)
  0.2857143 = coord(2/7)
    Content
    "KÖLNER STADT-ANZEIGER: Frau Gurevych, Sie entwickeln eine Suchmaschine der nächsten Generation? Wie kann man sich diese vorstellen? IRYNA GUREVYCH Jeder kennt die herkömmlichen Suchmaschinen wie Google, Yahoo oder Altavista. Diese sind aber nicht perfekt, weil sie nur nach dem Prinzip der Zeichenerkennung funktionieren. Das steigende Informationsbedürfnis können herkömmliche Suchmaschinen nicht befriedigen. KStA: Wieso nicht? GUREVYCH Nehmen wir mal ein konkretes Beispiel: Sie suchen bei Google nach einem Rezept für einen Kuchen, der aber kein Obst enthalten soll. Keine Suchmaschine der Welt kann bisher sinnvoll solche oder ähnliche Anfragen ausführen. Meistens kommen Tausende von Ergebnissen, in denen der Nutzer die relevanten Informationen wie eine Nadel im Heuhaufen suchen muss. KStA: Und Sie können dieses Problem lösen? GUREVYCH Wir entwickeln eine Suchmaschine, die sich nicht nur auf das System der Zeichenerkennung verlässt, sondern auch linguistische Merkmale nutzt. Unsere Suchmaschine soll also auch artverwandte Begriffe zeigen. KStA: Wie weit sind Sie mit Ihrer Forschung? GUREVYCH Das Projekt ist auf zwei Jahre angelegt. Wir haben vor einem halben Jahr begonnen, haben also noch einen großen Teil vor uns. Trotzdem sind die ersten Zwischenergebnisse schon sehr beachtlich. KStA: Und wann geht die Suchmaschine ins Internet? GUREVYCH Da es sich um ein Projekt der Deutschen Forschungsgemeinschaft handelt, wird die Suchmaschine vorerst nicht veröffentlicht. Wir sehen es als unsere Aufgabe an, Verbesserungsmöglichkeiten durch schlaue Such-Algorithmen mit unseren Forschungsarbeiten nachzuweisen und Fehler der bekannten Suchmaschinen zu beseitigen. Und da sind wir auf einem guten Weg. KStA: Arbeiten Sie auch an einem ganz speziellen Projekt? GUREVYCH Ja, ihre erste Bewährungsprobe muss die neue Technologie auf einem auf den ersten Blick ungewöhnlichen Feld bestehen: Unsere Forschungsgruppe an der Technischen Universität Darmstadt entwickelt derzeit ein neuartiges System zur Unterstützung Jugendlicher bei der Berufsauswahl. Dazu stellt uns die Bundesagentur für Arbeit die Beschreibungen von 5800 Berufen in Deutschland zur Verfügung. KStA: Und was sollen Sie dann mit diesen konkreten Informationen machen? GUREVYCH Jugendliche sollen unsere Suchmaschine mit einem Aufsatz über ihre beruflichen Vorlieben flittern. Das System soll dann eine Suchabfrage starten und mögliche Berufe anhand des Interesses des Jugendlichen heraussuchen. Die persönliche Beratung durch die Bundesagentur für Arbeit kann dadurch auf alternative Angebote ausgeweitet werden. Ein erster Prototyp soll Ende des Jahres bereitstehen. KStA: Es geht also zunächst einmal nicht darum, einen Jobfür den Jugendlichen zu finden, sondern den perfekten Beruf für ihn zu ermitteln? GUREVYCH Ja, anhand der Beschreibung des Jugendlichen startet die Suchmaschine eine semantische Abfrage und sucht den passenden Beruf heraus. KStA: Gab es schon weitere Anfragen seitens der Industrie? GUREVYCH Nein, wir haben bisher noch keine Werbung betrieben. Meine Erfahrung zeigt, dass angesehene Kongresse die beste Plattform sind, um die Ergebnisse zu präsentieren und auf sich aufmerksam zu machen. Einige erste Veröffentlichungen sind bereits unterwegs und werden 2006 noch erscheinen. KStA: Wie sieht denn Ihrer Meinung nach die Suchmaschine der Zukunft aus? GUREVYCH Suchmaschinen werden immer spezieller. Das heißt, dass es etwa in der Medizin, bei den Krankenkassen oder im Sport eigene Suchmaschinen geben wird. Außerdem wird die Tendenz verstärkt zu linguistischen Suchmaschinen gehen, die nach artverwandten Begriffen fahnden. Die perfekte Suchmaschine wird wohl eine Kombination aus statistischem und linguistisch-semantischem Suchverhalten sein. Algorithmen, die wir am Fachgebiet Telekooperation an der TU Darmstadt entwickeln, werden für den nächsten qualitativen Sprung bei der Entwicklung der Suchmaschinen von größter Bedeutung sein."
  6. Stock, M.: Textwortmethode und Übersetzungsrelation : Eine Methode zum Aufbau von kombinierten Literaturnachweis- und Terminologiedatenbanken (1989) 0.02 
    0.022424987 = product of:
  0.07848745 = sum of:
    0.007323784 = product of:
      0.03661892 = sum of:
        0.03661892 = weight(_text_:retrieval in 3412) [ClassicSimilarity], result of:
          0.03661892 = score(doc=3412,freq=2.0), product of:
            0.109568894 = queryWeight, product of:
              3.024915 = idf(docFreq=5836, maxDocs=44218)
              0.03622214 = queryNorm
            0.33420905 = fieldWeight in 3412, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.024915 = idf(docFreq=5836, maxDocs=44218)
              0.078125 = fieldNorm(doc=3412)
      0.2 = coord(1/5)
    0.07116366 = product of:
      0.14232732 = sum of:
        0.14232732 = weight(_text_:zugriff in 3412) [ClassicSimilarity], result of:
          0.14232732 = score(doc=3412,freq=2.0), product of:
            0.2160124 = queryWeight, product of:
              5.963546 = idf(docFreq=308, maxDocs=44218)
              0.03622214 = queryNorm
            0.65888494 = fieldWeight in 3412, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              5.963546 = idf(docFreq=308, maxDocs=44218)
              0.078125 = fieldNorm(doc=3412)
      0.5 = coord(1/2)
  0.2857143 = coord(2/7)
    Abstract
    Geisteswissenschaftliche Fachinformation erfordert eine enge Kooperation zwischen Literaturnachweis- und Terminologieinformationssystemen. Eine geeignete Dokumentationsmethode für die Auswertung geisteswissen- schaftlicher Literatur ist die Textwortwethode. Dem originalsprachig aufgenommenen Begriffsrepertoire ist ein einheitssprachiger Zugriff beizuordnen, der einerseits ein vollständiges und genaues Retrieval garantiert und andererseits den Aufbau fachspezifischer Wörterbücher vorantreibt
  7. Sienel, J.; Weiss, M.; Laube, M.: Sprachtechnologien für die Informationsgesellschaft des 21. Jahrhunderts (2000) 0.02 
    0.01788266 = product of:
  0.12517862 = sum of:
    0.12517862 = sum of:
      0.10064062 = weight(_text_:zugriff in 5557) [ClassicSimilarity], result of:
        0.10064062 = score(doc=5557,freq=4.0), product of:
          0.2160124 = queryWeight, product of:
            5.963546 = idf(docFreq=308, maxDocs=44218)
            0.03622214 = queryNorm
          0.46590203 = fieldWeight in 5557, product of:
            2.0 = tf(freq=4.0), with freq of:
              4.0 = termFreq=4.0
            5.963546 = idf(docFreq=308, maxDocs=44218)
            0.0390625 = fieldNorm(doc=5557)
      0.024538001 = weight(_text_:22 in 5557) [ClassicSimilarity], result of:
        0.024538001 = score(doc=5557,freq=2.0), product of:
          0.12684377 = queryWeight, product of:
            3.5018296 = idf(docFreq=3622, maxDocs=44218)
            0.03622214 = queryNorm
          0.19345059 = fieldWeight in 5557, product of:
            1.4142135 = tf(freq=2.0), with freq of:
              2.0 = termFreq=2.0
            3.5018296 = idf(docFreq=3622, maxDocs=44218)
            0.0390625 = fieldNorm(doc=5557)
  0.14285715 = coord(1/7)
    Abstract
    In den vergangenen Jahren hat sich die Entwicklung, Sprache als Schnittstelle zwischen Mensch und Maschine einzusetzen, zunehmend an Bedeutung gewonnen. Die steigende Verarbeitungsgeschwindigkeit der Prozessoren ermöglicht es heute, selbst sehr komplexe Aufgaben wie Diktiersysteme auf handelsüblichen PCs verfügbar zu machen. Ebenso haben sich Verfahren weiterentwickelt und die Erkennungsleistung konnte gesteigert werden. Insbesondere im mobilen Umfeld wird sich Sprache als notwendig erweisen, um den Widerspruch, immer komplexere Funktionalität in immer kleineren und leichteren Terminals unterzubringen, aufzulösen. In diesem Umfeld können auch andere Modalitäten, wie Handschrift oder Gestik, integriert werden. Eine der Hauptanwendungen in mobiler Umgebung wird der Zugriff auf das Internet werden: um schnell und umfassend zu den benötigten Information zu gelangen, können intelligente Agenten eine mögliche Hilfe darstellen. Sie sind in Lage, die Informationen bezüglich ihrer Relevanz für den Nutzer zu beurteilen und fassen die Inhalte zusammen, die sich auf den kleinen Displays, oder akustisch wiedergeben lassen. Ist das gefundene Dokument in einer dein Benutzer fremden Sprache verfaßt, kann es automatisch übersetzt werden. Natürlich werden die benötigten Technologien nicht alle in einem Endgerät untergebracht werden können, deshalb wird bereits heute in Standardisierungsgremien untersucht, wie verteilte Architekturen helfen können, den Zugriff auf Informationen immer, überall und jedem verfügbaren Endgerät zugänglich zu machen. Das vom BMWi geförderte Projekt "Mobiler Multimedia-Arbeitsplatz der Zukunft" will diesen Ansatz verfolgen. Dabei werden auch die sozialen und arbeitsrechtlichen Aspekte untersucht
    Date
    26.12.2000 13:22:17
  8. Schwarz, C.: THESYS: Thesaurus Syntax System : a fully automatic thesaurus building aid (1988) 0.01 
    0.011013014 = product of:
  0.03854555 = sum of:
    0.02136895 = product of:
      0.053422377 = sum of:
        0.025633242 = weight(_text_:retrieval in 1361) [ClassicSimilarity], result of:
          0.025633242 = score(doc=1361,freq=2.0), product of:
            0.109568894 = queryWeight, product of:
              3.024915 = idf(docFreq=5836, maxDocs=44218)
              0.03622214 = queryNorm
            0.23394634 = fieldWeight in 1361, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.024915 = idf(docFreq=5836, maxDocs=44218)
              0.0546875 = fieldNorm(doc=1361)
        0.027789133 = weight(_text_:system in 1361) [ClassicSimilarity], result of:
          0.027789133 = score(doc=1361,freq=2.0), product of:
            0.11408355 = queryWeight, product of:
              3.1495528 = idf(docFreq=5152, maxDocs=44218)
              0.03622214 = queryNorm
            0.2435858 = fieldWeight in 1361, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.1495528 = idf(docFreq=5152, maxDocs=44218)
              0.0546875 = fieldNorm(doc=1361)
      0.4 = coord(2/5)
    0.0171766 = product of:
      0.0343532 = sum of:
        0.0343532 = weight(_text_:22 in 1361) [ClassicSimilarity], result of:
          0.0343532 = score(doc=1361,freq=2.0), product of:
            0.12684377 = queryWeight, product of:
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.03622214 = queryNorm
            0.2708308 = fieldWeight in 1361, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.0546875 = fieldNorm(doc=1361)
      0.5 = coord(1/2)
  0.2857143 = coord(2/7)
    Abstract
    THESYS is based on the natural language processing of free-text databases. It yields statistically evaluated correlations between words of the database. These correlations correspond to traditional thesaurus relations. The person who has to build a thesaurus is thus assisted by the proposals made by THESYS. THESYS is being tested on commercial databases under real world conditions. It is part of a text processing project at Siemens, called TINA (Text-Inhalts-Analyse). Software from TINA is actually being applied and evaluated by the US Department of Commerce for patent search and indexing (REALIST: REtrieval Aids by Linguistics and STatistics)
    Date
    6. 1.1999 10:22:07
  9. 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) 0.01 
    0.01092404 = product of:
  0.03823414 = sum of:
    0.00878854 = product of:
      0.0439427 = sum of:
        0.0439427 = weight(_text_:retrieval in 4483) [ClassicSimilarity], result of:
          0.0439427 = score(doc=4483,freq=2.0), product of:
            0.109568894 = queryWeight, product of:
              3.024915 = idf(docFreq=5836, maxDocs=44218)
              0.03622214 = queryNorm
            0.40105087 = fieldWeight in 4483, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.024915 = idf(docFreq=5836, maxDocs=44218)
              0.09375 = fieldNorm(doc=4483)
      0.2 = coord(1/5)
    0.0294456 = product of:
      0.0588912 = sum of:
        0.0588912 = weight(_text_:22 in 4483) [ClassicSimilarity], result of:
          0.0588912 = score(doc=4483,freq=2.0), product of:
            0.12684377 = queryWeight, product of:
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.03622214 = queryNorm
            0.46428138 = fieldWeight in 4483, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.09375 = fieldNorm(doc=4483)
      0.5 = coord(1/2)
  0.2857143 = coord(2/7)
    Date
    15. 3.2000 10:22:37
  10. Doszkocs, T.E.; Zamora, A.: Dictionary services and spelling aids for Web searching (2004) 0.01 
    0.01018518 = product of:
  0.03564813 = sum of:
    0.018297145 = product of:
      0.045742862 = sum of:
        0.025893483 = weight(_text_:retrieval in 2541) [ClassicSimilarity], result of:
          0.025893483 = score(doc=2541,freq=4.0), product of:
            0.109568894 = queryWeight, product of:
              3.024915 = idf(docFreq=5836, maxDocs=44218)
              0.03622214 = queryNorm
            0.23632148 = fieldWeight in 2541, product of:
              2.0 = tf(freq=4.0), with freq of:
                4.0 = termFreq=4.0
              3.024915 = idf(docFreq=5836, maxDocs=44218)
              0.0390625 = fieldNorm(doc=2541)
        0.01984938 = weight(_text_:system in 2541) [ClassicSimilarity], result of:
          0.01984938 = score(doc=2541,freq=2.0), product of:
            0.11408355 = queryWeight, product of:
              3.1495528 = idf(docFreq=5152, maxDocs=44218)
              0.03622214 = queryNorm
            0.17398985 = fieldWeight in 2541, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.1495528 = idf(docFreq=5152, maxDocs=44218)
              0.0390625 = fieldNorm(doc=2541)
      0.4 = coord(2/5)
    0.017350987 = product of:
      0.034701973 = sum of:
        0.034701973 = weight(_text_:22 in 2541) [ClassicSimilarity], result of:
          0.034701973 = score(doc=2541,freq=4.0), product of:
            0.12684377 = queryWeight, product of:
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.03622214 = queryNorm
            0.27358043 = fieldWeight in 2541, product of:
              2.0 = tf(freq=4.0), with freq of:
                4.0 = termFreq=4.0
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.0390625 = fieldNorm(doc=2541)
      0.5 = coord(1/2)
  0.2857143 = coord(2/7)
    Abstract
    The Specialized Information Services Division (SIS) of the National Library of Medicine (NLM) provides Web access to more than a dozen scientific databases on toxicology and the environment on TOXNET . Search queries on TOXNET often include misspelled or variant English words, medical and scientific jargon and chemical names. Following the example of search engines like Google and ClinicalTrials.gov, we set out to develop a spelling "suggestion" system for increased recall and precision in TOXNET searching. This paper describes development of dictionary technology that can be used in a variety of applications such as orthographic verification, writing aid, natural language processing, and information storage and retrieval. The design of the technology allows building complex applications using the components developed in the earlier phases of the work in a modular fashion without extensive rewriting of computer code. Since many of the potential applications envisioned for this work have on-line or web-based interfaces, the dictionaries and other computer components must have fast response, and must be adaptable to open-ended database vocabularies, including chemical nomenclature. The dictionary vocabulary for this work was derived from SIS and other databases and specialized resources, such as NLM's Unified Medical Language Systems (UMLS) . The resulting technology, A-Z Dictionary (AZdict), has three major constituents: 1) the vocabulary list, 2) the word attributes that define part of speech and morphological relationships between words in the list, and 3) a set of programs that implements the retrieval of words and their attributes, and determines similarity between words (ChemSpell). These three components can be used in various applications such as spelling verification, spelling aid, part-of-speech tagging, paraphrasing, and many other natural language processing functions.
    Date
    14. 8.2004 17:22:56
    Source
    Online. 28(2004) no.3, S.22-29
  11. Bian, G.-W.; Chen, H.-H.: Cross-language information access to multilingual collections on the Internet (2000) 0.01 
    0.009439726 = product of:
  0.03303904 = sum of:
    0.018316243 = product of:
      0.045790605 = sum of:
        0.02197135 = weight(_text_:retrieval in 4436) [ClassicSimilarity], result of:
          0.02197135 = score(doc=4436,freq=2.0), product of:
            0.109568894 = queryWeight, product of:
              3.024915 = idf(docFreq=5836, maxDocs=44218)
              0.03622214 = queryNorm
            0.20052543 = fieldWeight in 4436, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.024915 = idf(docFreq=5836, maxDocs=44218)
              0.046875 = fieldNorm(doc=4436)
        0.023819257 = weight(_text_:system in 4436) [ClassicSimilarity], result of:
          0.023819257 = score(doc=4436,freq=2.0), product of:
            0.11408355 = queryWeight, product of:
              3.1495528 = idf(docFreq=5152, maxDocs=44218)
              0.03622214 = queryNorm
            0.20878783 = fieldWeight in 4436, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.1495528 = idf(docFreq=5152, maxDocs=44218)
              0.046875 = fieldNorm(doc=4436)
      0.4 = coord(2/5)
    0.0147228 = product of:
      0.0294456 = sum of:
        0.0294456 = weight(_text_:22 in 4436) [ClassicSimilarity], result of:
          0.0294456 = score(doc=4436,freq=2.0), product of:
            0.12684377 = queryWeight, product of:
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.03622214 = queryNorm
            0.23214069 = fieldWeight in 4436, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.046875 = fieldNorm(doc=4436)
      0.5 = coord(1/2)
  0.2857143 = coord(2/7)
    Abstract
    Language barrier is the major problem that people face in searching for, retrieving, and understanding multilingual collections on the Internet. This paper deals with query translation and document translation in a Chinese-English information retrieval system called MTIR. Bilingual dictionary and monolingual corpus-based approaches are adopted to select suitable tranlated query terms. A machine transliteration algorithm is introduced to resolve proper name searching. We consider several design issues for document translation, including which material is translated, what roles the HTML tags play in translation, what the tradeoff is between the speed performance and the translation performance, and what from the translated result is presented in. About 100.000 Web pages translated in the last 4 months of 1997 are used for quantitative study of online and real-time Web page translation
    Date
    16. 2.2000 14:22:39
  12. Lezius, W.; Rapp, R.; Wettler, M.: ¬A morphology-system and part-of-speech tagger for German (1996) 0.01 
    0.009279358 = product of:
  0.03247775 = sum of:
    0.007939752 = product of:
      0.03969876 = sum of:
        0.03969876 = weight(_text_:system in 1693) [ClassicSimilarity], result of:
          0.03969876 = score(doc=1693,freq=2.0), product of:
            0.11408355 = queryWeight, product of:
              3.1495528 = idf(docFreq=5152, maxDocs=44218)
              0.03622214 = queryNorm
            0.3479797 = fieldWeight in 1693, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.1495528 = idf(docFreq=5152, maxDocs=44218)
              0.078125 = fieldNorm(doc=1693)
      0.2 = coord(1/5)
    0.024538001 = product of:
      0.049076002 = sum of:
        0.049076002 = weight(_text_:22 in 1693) [ClassicSimilarity], result of:
          0.049076002 = score(doc=1693,freq=2.0), product of:
            0.12684377 = queryWeight, product of:
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.03622214 = queryNorm
            0.38690117 = fieldWeight in 1693, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.078125 = fieldNorm(doc=1693)
      0.5 = coord(1/2)
  0.2857143 = coord(2/7)
    Date
    22. 3.2015 9:37:18
  13. Mauldin, M.L.: Conceptual information retrieval : a case study in adaptive partial parsing (1991) 0.01 
    0.008118572 = product of:
  0.056829996 = sum of:
    0.056829996 = product of:
      0.14207499 = sum of:
        0.097160965 = weight(_text_:retrieval in 121) [ClassicSimilarity], result of:
          0.097160965 = score(doc=121,freq=22.0), product of:
            0.109568894 = queryWeight, product of:
              3.024915 = idf(docFreq=5836, maxDocs=44218)
              0.03622214 = queryNorm
            0.88675684 = fieldWeight in 121, product of:
              4.690416 = tf(freq=22.0), with freq of:
                22.0 = termFreq=22.0
              3.024915 = idf(docFreq=5836, maxDocs=44218)
              0.0625 = fieldNorm(doc=121)
        0.044914022 = weight(_text_:system in 121) [ClassicSimilarity], result of:
          0.044914022 = score(doc=121,freq=4.0), product of:
            0.11408355 = queryWeight, product of:
              3.1495528 = idf(docFreq=5152, maxDocs=44218)
              0.03622214 = queryNorm
            0.3936941 = fieldWeight in 121, product of:
              2.0 = tf(freq=4.0), with freq of:
                4.0 = termFreq=4.0
              3.1495528 = idf(docFreq=5152, maxDocs=44218)
              0.0625 = fieldNorm(doc=121)
      0.4 = coord(2/5)
  0.14285715 = coord(1/7)
    LCSH
    FERRET (Information retrieval system)
    Information storage and retrieval
    RSWK
    Freitextsuche / Information Retrieval
    Information Retrieval / Expertensystem
    Syntaktische Analyse Information Retrieval
    Subject
    Freitextsuche / Information Retrieval
    Information Retrieval / Expertensystem
    Syntaktische Analyse Information Retrieval
    FERRET (Information retrieval system)
    Information storage and retrieval
  14. Riloff, E.: ¬An empirical study of automated dictionary construction for information extraction in three domains (1996) 0.01 
    0.007423487 = product of:
  0.025982203 = sum of:
    0.006351802 = product of:
      0.03175901 = sum of:
        0.03175901 = weight(_text_:system in 6752) [ClassicSimilarity], result of:
          0.03175901 = score(doc=6752,freq=2.0), product of:
            0.11408355 = queryWeight, product of:
              3.1495528 = idf(docFreq=5152, maxDocs=44218)
              0.03622214 = queryNorm
            0.27838376 = fieldWeight in 6752, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.1495528 = idf(docFreq=5152, maxDocs=44218)
              0.0625 = fieldNorm(doc=6752)
      0.2 = coord(1/5)
    0.0196304 = product of:
      0.0392608 = sum of:
        0.0392608 = weight(_text_:22 in 6752) [ClassicSimilarity], result of:
          0.0392608 = score(doc=6752,freq=2.0), product of:
            0.12684377 = queryWeight, product of:
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.03622214 = queryNorm
            0.30952093 = fieldWeight in 6752, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.0625 = fieldNorm(doc=6752)
      0.5 = coord(1/2)
  0.2857143 = coord(2/7)
    Abstract
    AutoSlog is a system that addresses the knowledge engineering bottleneck for information extraction. AutoSlog automatically creates domain specific dictionaries for information extraction, given an appropriate training corpus. Describes experiments with AutoSlog in terrorism, joint ventures and microelectronics domains. Compares the performance of AutoSlog across the 3 domains, discusses the lessons learned and presents results from 2 experiments which demonstrate that novice users can generate effective dictionaries using AutoSlog
    Date
    6. 3.1997 16:22:15
  15. Basili, R.; Pazienza, M.T.; Velardi, P.: ¬An empirical symbolic approach to natural language processing (1996) 0.01 
    0.007423487 = product of:
  0.025982203 = sum of:
    0.006351802 = product of:
      0.03175901 = sum of:
        0.03175901 = weight(_text_:system in 6753) [ClassicSimilarity], result of:
          0.03175901 = score(doc=6753,freq=2.0), product of:
            0.11408355 = queryWeight, product of:
              3.1495528 = idf(docFreq=5152, maxDocs=44218)
              0.03622214 = queryNorm
            0.27838376 = fieldWeight in 6753, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.1495528 = idf(docFreq=5152, maxDocs=44218)
              0.0625 = fieldNorm(doc=6753)
      0.2 = coord(1/5)
    0.0196304 = product of:
      0.0392608 = sum of:
        0.0392608 = weight(_text_:22 in 6753) [ClassicSimilarity], result of:
          0.0392608 = score(doc=6753,freq=2.0), product of:
            0.12684377 = queryWeight, product of:
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.03622214 = queryNorm
            0.30952093 = fieldWeight in 6753, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.0625 = fieldNorm(doc=6753)
      0.5 = coord(1/2)
  0.2857143 = coord(2/7)
    Abstract
    Describes and evaluates the results of a large scale lexical learning system, ARISTO-LEX, that uses a combination of probabilisitc and knowledge based methods for the acquisition of selectional restrictions of words in sublanguages. Presents experimental data obtained from different corpora in different doamins and languages, and shows that the acquired lexical data not only have practical applications in natural language processing, but they are useful for a comparative analysis of sublanguages
    Date
    6. 3.1997 16:22:15
  16. Haas, S.W.: Natural language processing : toward large-scale, robust systems (1996) 0.01 
    0.007282694 = product of:
  0.025489427 = sum of:
    0.0058590267 = product of:
      0.029295133 = sum of:
        0.029295133 = weight(_text_:retrieval in 7415) [ClassicSimilarity], result of:
          0.029295133 = score(doc=7415,freq=2.0), product of:
            0.109568894 = queryWeight, product of:
              3.024915 = idf(docFreq=5836, maxDocs=44218)
              0.03622214 = queryNorm
            0.26736724 = fieldWeight in 7415, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.024915 = idf(docFreq=5836, maxDocs=44218)
              0.0625 = fieldNorm(doc=7415)
      0.2 = coord(1/5)
    0.0196304 = product of:
      0.0392608 = sum of:
        0.0392608 = weight(_text_:22 in 7415) [ClassicSimilarity], result of:
          0.0392608 = score(doc=7415,freq=2.0), product of:
            0.12684377 = queryWeight, product of:
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.03622214 = queryNorm
            0.30952093 = fieldWeight in 7415, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.0625 = fieldNorm(doc=7415)
      0.5 = coord(1/2)
  0.2857143 = coord(2/7)
    Abstract
    State of the art review of natural language processing updating an earlier review published in ARIST 22(1987). Discusses important developments that have allowed for significant advances in the field of natural language processing: materials and resources; knowledge based systems and statistical approaches; and a strong emphasis on evaluation. Reviews some natural language processing applications and common problems still awaiting solution. Considers closely related applications such as language generation and th egeneration phase of machine translation which face the same problems as natural language processing. Covers natural language methodologies for information retrieval only briefly
  17. Sembok, T.M.T.; Rijsbergen, C.J. van: SILOL: a simple logical-linguistic document retrieval system (1990) 0.01 
    0.007243792 = product of:
  0.050706543 = sum of:
    0.050706543 = product of:
      0.12676635 = sum of:
        0.07175813 = weight(_text_:retrieval in 6684) [ClassicSimilarity], result of:
          0.07175813 = score(doc=6684,freq=12.0), product of:
            0.109568894 = queryWeight, product of:
              3.024915 = idf(docFreq=5836, maxDocs=44218)
              0.03622214 = queryNorm
            0.6549133 = fieldWeight in 6684, product of:
              3.4641016 = tf(freq=12.0), with freq of:
                12.0 = termFreq=12.0
              3.024915 = idf(docFreq=5836, maxDocs=44218)
              0.0625 = fieldNorm(doc=6684)
        0.055008218 = weight(_text_:system in 6684) [ClassicSimilarity], result of:
          0.055008218 = score(doc=6684,freq=6.0), product of:
            0.11408355 = queryWeight, product of:
              3.1495528 = idf(docFreq=5152, maxDocs=44218)
              0.03622214 = queryNorm
            0.48217484 = fieldWeight in 6684, product of:
              2.4494898 = tf(freq=6.0), with freq of:
                6.0 = termFreq=6.0
              3.1495528 = idf(docFreq=5152, maxDocs=44218)
              0.0625 = fieldNorm(doc=6684)
      0.4 = coord(2/5)
  0.14285715 = coord(1/7)
    Abstract
    Describes a system called SILOL which is based on a logical-linguistic model of document retrieval systems. SILOL uses a shallow semantic translation of natural language texts into a first order predicate representation in performing a document indexing and retrieval process. Some preliminary experiments have been carried out to test the retrieval effectiveness of this system. The results obtained show improvements in the level of retrieval effectiveness, which demonstrate that the approach of using a semantic theory of natural language and logic in document retrieval systems is a valid one
  18. Hammwöhner, R.: TransRouter revisited : Decision support in the routing of translation projects (2000) 0.01 
    0.0071533015 = product of:
  0.025036555 = sum of:
    0.007859954 = product of:
      0.039299767 = sum of:
        0.039299767 = weight(_text_:system in 5483) [ClassicSimilarity], result of:
          0.039299767 = score(doc=5483,freq=4.0), product of:
            0.11408355 = queryWeight, product of:
              3.1495528 = idf(docFreq=5152, maxDocs=44218)
              0.03622214 = queryNorm
            0.34448233 = fieldWeight in 5483, product of:
              2.0 = tf(freq=4.0), with freq of:
                4.0 = termFreq=4.0
              3.1495528 = idf(docFreq=5152, maxDocs=44218)
              0.0546875 = fieldNorm(doc=5483)
      0.2 = coord(1/5)
    0.0171766 = product of:
      0.0343532 = sum of:
        0.0343532 = weight(_text_:22 in 5483) [ClassicSimilarity], result of:
          0.0343532 = score(doc=5483,freq=2.0), product of:
            0.12684377 = queryWeight, product of:
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.03622214 = queryNorm
            0.2708308 = fieldWeight in 5483, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.0546875 = fieldNorm(doc=5483)
      0.5 = coord(1/2)
  0.2857143 = coord(2/7)
    Abstract
    This paper gives an outline of the final results of the TransRouter project. In the scope of this project a decision support system for translation managers has been developed, which will support the selection of appropriate routes for translation projects. In this paper emphasis is put on the decision model, which is based on a stepwise refined assessment of translation routes. The workflow of using this system is considered as well
    Date
    10.12.2000 18:22:35
  19. Liddy, E.D.: Natural language processing for information retrieval and knowledge discovery (1998) 0.01 
    0.006979079 = product of:
  0.024426775 = sum of:
    0.007250175 = product of:
      0.036250874 = sum of:
        0.036250874 = weight(_text_:retrieval in 2345) [ClassicSimilarity], result of:
          0.036250874 = score(doc=2345,freq=4.0), product of:
            0.109568894 = queryWeight, product of:
              3.024915 = idf(docFreq=5836, maxDocs=44218)
              0.03622214 = queryNorm
            0.33085006 = fieldWeight in 2345, product of:
              2.0 = tf(freq=4.0), with freq of:
                4.0 = termFreq=4.0
              3.024915 = idf(docFreq=5836, maxDocs=44218)
              0.0546875 = fieldNorm(doc=2345)
      0.2 = coord(1/5)
    0.0171766 = product of:
      0.0343532 = sum of:
        0.0343532 = weight(_text_:22 in 2345) [ClassicSimilarity], result of:
          0.0343532 = score(doc=2345,freq=2.0), product of:
            0.12684377 = queryWeight, product of:
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.03622214 = queryNorm
            0.2708308 = fieldWeight in 2345, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.0546875 = fieldNorm(doc=2345)
      0.5 = coord(1/2)
  0.2857143 = coord(2/7)
    Abstract
    Natural language processing (NLP) is a powerful technology for the vital tasks of information retrieval (IR) and knowledge discovery (KD) which, in turn, feed the visualization systems of the present and future and enable knowledge workers to focus more of their time on the vital tasks of analysis and prediction
    Date
    22. 9.1997 19:16:05
  20. Kay, M.: ¬The proper place of men and machines in language translation (1997) 0.01 
    0.0064955507 = product of:
  0.022734426 = sum of:
    0.0055578267 = product of:
      0.027789133 = sum of:
        0.027789133 = weight(_text_:system in 1178) [ClassicSimilarity], result of:
          0.027789133 = score(doc=1178,freq=2.0), product of:
            0.11408355 = queryWeight, product of:
              3.1495528 = idf(docFreq=5152, maxDocs=44218)
              0.03622214 = queryNorm
            0.2435858 = fieldWeight in 1178, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.1495528 = idf(docFreq=5152, maxDocs=44218)
              0.0546875 = fieldNorm(doc=1178)
      0.2 = coord(1/5)
    0.0171766 = product of:
      0.0343532 = sum of:
        0.0343532 = weight(_text_:22 in 1178) [ClassicSimilarity], result of:
          0.0343532 = score(doc=1178,freq=2.0), product of:
            0.12684377 = queryWeight, product of:
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.03622214 = queryNorm
            0.2708308 = fieldWeight in 1178, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.0546875 = fieldNorm(doc=1178)
      0.5 = coord(1/2)
  0.2857143 = coord(2/7)
    Abstract
    Machine translation stands no chance of filling actual needs for translation because, although there has been progress in relevant areas of computer science, advance in linguistics have not touched the core problems. Cooperative man-machine systems need to be developed, Proposes a translator's amanuensis, incorporating into a word processor some simple facilities peculiar to translation. Gradual enhancements of such a system could lead to the original goal of machine translation
    Date
    31. 7.1996 9:22:19

Authors

Years

Languages

Types

  • a 277
  • m 30
  • el 18
  • s 17
  • x 12
  • d 2
  • p 2
  • b 1
  • pat 1
  • r 1
  • More… Less…

Themes

Subjects

Classifications