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Schmidt, R.: Maschinelle Text-Ton-Synchronisation in Wissenschaft und Wirtschaft (2000) 0.03
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Abstract

Tonmaterial in Form von Audio- oder Videoaufnahmen spielt in Bereichen der Wissenschaft, die sich mit verbaler Interaktion beschäftigen, eine bedeutende Rolle. Solche Gebiete sind u,a. die Linguistik, Psychologie, Soziologie und Kriminalistik. Gegenstand der Untersuchung können dabei z.B. die Formen des sprachlichen Handelns und der Sprachvariation in Abhängigkeit von der Situation oder die Ausprägung und Entwicklung von Sprachunterschieden vor dem sozialen Hintergrund sein. Im Rahmen der Analyse eines Gesprächsverlaufs kann beispielsweise die Form der Rederechtsicherung von Interesse sein. In diesem Zusammenhang stellen sich Fragen wie z.B. "Wie bringen Gesprächsteilnehrner Gesprächsbeteiligte dazu, ihre Rede zu unterbrechen?" oder "Wie wehren Gesprächsteilnehmer Unterbrechungsversuche voll anderen Teilnehmern ab?". Denkbar ist hier u.a. nach dem Vorkommen von "ausreden lassen" zu suchen, wobei diese beiden Wörter nicht unbedingt nebeneinander auftreten müssen. Bei der Suche nach Stellen an denen ein Gesprächsteilnehmer Ansprüche oder Forderungen an einen Gesprächspartner stellt, können die flektierten Formen der Modalverben wie z.B. "müssen", "sollen" oder "dürfen" für die Anfrage wichtig sein, während Konnektiva wie "aber", "ja aber" oder "doch" auf oppositive Gesprächsabschnitte verweisen können. Näheres zur gesprächsanalytischen Methodik kann Deppermann (1999) und Brünner et al. (1999) entnommen werden. In dem Bereich der Linguistik, die den Gebrauch von gesprochener Sprache in offiziellen und privaten Situationen zum Gegenstand hat, sind u.a. auch Aussprachevarianten von großem Interesse. Von der Untersuchung der Sprachfärbungen erhofft man sich detaillierte Aussagen über die Sprechersituation und die regionale (König (1988)) und soziale Herkunft des Sprechers machen zu können. In der Kriminalistik wirken solche Ergebnisse unterstützend bei der Identifizierung von Personen

¬Der Student aus dem Computer (2023) 0.01

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Date: 27. 1.2023 16:22:55

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

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

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

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

Rieger, F.: Lügende Computer (2023) 0.01

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Date: 16. 3.2023 19:22:55

Schneider, R.: Web 3.0 ante portas? : Integration von Social Web und Semantic Web (2008) 0.01

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Date: 22. 1.2011 10:38:28

Sienel, J.; Weiss, M.; Laube, M.: Sprachtechnologien für die Informationsgesellschaft des 21. Jahrhunderts (2000) 0.01

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Date: 26.12.2000 13:22:17

Rötzer, F.: KI-Programm besser als Menschen im Verständnis natürlicher Sprache (2018) 0.00

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Date: 22. 1.2018 11:32:44

Schürmann, H.: Software scannt Radio- und Fernsehsendungen : Recherche in Nachrichtenarchiven erleichtert (2001) 0.00

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Source: Handelsblatt. Nr.79 vom 24.4.2001, S.22

Melzer, C.: ¬Der Maschine anpassen : PC-Spracherkennung - Programme sind mittlerweile alltagsreif (2005) 0.00

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Date: 3. 5.1997 8:44:22

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