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  • × language_ss:"d"
  • × theme_ss:"Computerlinguistik"
  • × type_ss:"a"
  1. Ney, H.: Maschinelle Sprachverarbeitung und Statistik (1995) 0.05 
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  2. Melzer, C.: ¬Der Maschine anpassen : PC-Spracherkennung - Programme sind mittlerweile alltagsreif (2005) 0.03 
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    Content
    Billiger geht es mit "Via Voice Standard" von IBM. Die Software kostet etwa 50 Euro, hat aber erhebliche Schwächen in der Lernfähigkeit: Sie schneidet jedoch immer noch besser ab als das gut drei Mal so teure "Voice Office Premium 10"; das im Test der sechs Programme als einziges nur ein "Befriedigend" bekam. "Man liest über Spracherkennung nicht mehr so viel" weil es funktioniert", glaubt Dorothee Wiegand von der in Hannover erscheinenden Computerzeitschrift "c't". Die Technik" etwa "Dragon Naturally Speaking" von ScanSoft, sei ausgereift, "Spracherkennung ist vor allem Statistik, die Auswertung unendlicher Wortmöglichkeiten. Eigentlich war eher die Hardware das Problem", sagt Wiegand. Da jetzt selbst einfache Heimcomputer schnell und leistungsfähig seien, hätten die Entwickler viel mehr Möglichkeiten."Aber selbst ältere Computer kommen mit den Systemen klar. Sie brauchen nur etwas länger! "Jedes Byte macht die Spracherkennung etwas schneller, ungenauer ist sie sonst aber nicht", bestätigt Kristina Henry von linguatec in München. Auch für die Produkte des Herstellers gelte jedoch, dass "üben und deutlich sprechen wichtiger sind als jede Hardware". Selbst Stimmen von Diktiergeräten würden klar, erkannt, versichert Henry: "Wir wollen einen Schritt weiter gehen und das Diktieren von unterwegs möglich machen." Der Benutzer könnte dann eine Nummer anwählen, etwa im Auto einen Text aufsprechen und ihn zu Hause "getippt" vorfinden. Grundsätzlich passt die Spracherkennungssoftware inzwischen auch auf den privaten Computer. Klar ist aber, dass selbst der bestgesprochene Text nachbearbeitet werden muss. Zudem ist vom Nutzer Geduld gefragt: Ebenso wie sein System lernt, muss der Mensch sich in Aussprache und Geschwindigkeit dem System anpassen. Dann sind die Ergebnisse allerdings beachtlich - und "Sexterminvereinbarung" statt "zwecks Terminvereinbarung" gehört der Vergangenheit an."
    Date
    3. 5.1997 8:44:22
  3. Strube, M.: Kreativ durch Analogien (2011) 0.02 
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    Content
    "Die Computerlinguistik vereinigt Elemente von Informatik und Linguistik; sie verwendet darüber hinaus Methoden aus weiteren Gebieten wie Mathematik, Psychologie, Statistik und künstliche Intelligenz. Der Reiz und die Herausforderung einer solchen interdisziplinären Wissenschaft liegen darin, Analogien zwischen Konzepten aus weit entfernten Teilgebieten zu erkennen und zu nutzen. Paradebeispiel dafür ist einer der entscheidenden Durchbrüche, welche die Computerlinguistik prägten. Es geht um das »Parsing«: Ein Computerprogramm, genauer gesagt ein Compiler, nimmt Zeichen für Zeichen den Input des Benutzers entgegen, der in diesem Fall seinerseits aus dem Text eines Computerprogramms besteht, und ermittelt dessen Struktur. Im Prinzip dasselbe tut ein Mensch, der einen gesprochenen Satz hört und versteht."
  4. Kuhlen, R.: Morphologische Relationen durch Reduktionsalgorithmen (1974) 0.01 
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    Date
    29. 1.2011 14:56:29
  5. Barthel, J.; Ciesielski, R.: Regeln zu ChatGPT an Unis oft unklar : KI in der Bildung (2023) 0.01 
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    Date
    29. 3.2023 13:23:26
    29. 3.2023 13:29:19
  6. Wettler, M.; Rapp, R.; Ferber, R.: Freie Assoziationen und Kontiguitäten von Wörtern in Texten (1993) 0.01 
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    Date
    4.11.1998 14:30:29
  7. Hahn, U.; Reimer, U.: Informationslinguistische Konzepte der Volltextverarbeitung in TOPIC (1983) 0.01 
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    Source
    Deutscher Dokumentartag 1982, Lübeck-Travemünde, 29.-30.9.1982: Fachinformation im Zeitalter der Informationsindustrie. Bearb.: H. Strohl-Goebel
  8. ¬Der Student aus dem Computer (2023) 0.01 
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    Date
    27. 1.2023 16:22:55
  9. Zue, V.: Dein Computer spricht mir dir (1999) 0.01 
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    Date
    31.12.1996 19:29:41
  10. Müller, P.: Text-Automat mit Tücken (2023) 0.01 
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    Source
    Pirmasenser Zeitung. Nr. 29 vom 03.02.2023, S.2
  11. Monnerjahn, P.: Vorsprung ohne Technik : Übersetzen: Computer und Qualität (2000) 0.01 
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    Source
    c't. 2000, H.22, S.230-231
  12. Wenzel, F.: Semantische Eingrenzung im Freitext-Retrieval auf der Basis morphologischer Segmentierungen (1980) 0.01 
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    Source
    Nachrichten für Dokumentation. 31(1980) H.1, S.29-35
  13. Engerer, V.: Informationswissenschaft und Linguistik. : kurze Geschichte eines fruchtbaren interdisziplinäaren Verhäaltnisses in drei Akten (2012) 0.01 
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    Date
    19. 2.2017 13:29:08
  14. Kuhlmann, U.; Monnerjahn, P.: Sprache auf Knopfdruck : Sieben automatische Übersetzungsprogramme im Test (2000) 0.01 
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    Source
    c't. 2000, H.22, S.220-229
  15. Lezius, W.; Rapp, R.; Wettler, M.: ¬A morphology-system and part-of-speech tagger for German (1996) 0.01 
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    Date
    22. 3.2015 9:37:18
  16. Bischoff, M.: Was steckt hinter ChatGTP & Co? (2023) 0.01 
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    Date
    12. 4.2023 20:29:54
  17. Bager, J.: ¬Die Text-KI ChatGPT schreibt Fachtexte, Prosa, Gedichte und Programmcode (2023) 0.01 
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    Date
    29.12.2022 18:22:55
  18. Rieger, F.: Lügende Computer (2023) 0.01 
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    Date
    16. 3.2023 19:22:55
  19. Frederichs, A.: Natürlichsprachige Abfrage und 3-D-Visualisierung von Wissenszusammenhängen (2007) 0.00 
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    Date
    25.10.2007 9:51:29
    Source
    Wa(h)re Information: 29. Österreichischer Bibliothekartag Bregenz, 19.-23.9.2006. Hrsg.: Harald Weigel
  20. Schneider, R.: Web 3.0 ante portas? : Integration von Social Web und Semantic Web (2008) 0.00 
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    Date
    22. 1.2011 10:38:28

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