Improving the quality of automated DVD subtitles via example-based machine translation (2006)

by S Armstrong, A Way, C Caffrey, M Flanagan, D Kenny, M O’Hagan
Venue:In Proc. of Translating and the Computer 28
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Mats Dahllöf

by Studia Linguistica Upsaliensia, Studia Linguistica Upsaliensia, Lars Ahrenberg, Ingrid Almqvist, Jens Allwood, Bo Andersson, Ulla Birgegård, Agneta Emanuelsson Blanck, Kristina Blomqvist, Lars Borin, Sven-erik Brodd, Rolf Carlson, Sofia Gustafson Capková, Silvie Cinková, Robin Cooper, Bengt Dahlqvist, Helge J. Jakhelln Dyvik, Susanne Ekeklint, Joakim Enwall, Angela Falk, Danuta Fjellestad, Markus Forsberg, Eva Forsbom, Birgitta Garme, Barbara Gawronska, Christer Geisler, Björn Granström, Maria Toporowska Gronostaj, Britt-louise Gunnarsson, Ebba Gustavii, Eva Hajičová, Harald Hammarström, Gerd Haverling, Monica Hedlund, Hans Helander, Johan Heldt, Inga-lill Holmberg, Merle Horne, Cilla Häggkvist, Bo Isaksson, Carina Jahani, Kerstin Jonasson, Olle Josephson, Päivi Juvonen, Arne Jönsson, Birsel Karakoç, Fred Karlsson, Marousia Ludwika Korolczyk
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Linguistics Gesellschaft für Linguistische Datenverarbeitung e. V. (GLDV)

by Maschinelle Übersetzung, Uta Seewald-heeg, Daniel Stein, Prof Dr. Alex, Er Mehler, Universität Bielefeld, Prof Dr, Christian Wolff, Universität Regensburg, Daniel Stein, Ludwig-maximilians-universität München, Satz Und Druck, Prof Dr. Christian Wolff, Universität Regensburg
"... 2 Hefte im Jahr, halbjährlich zum 31. Mai und 31. Oktober. Preprints und redaktionelle Planungen sind über die Website der GLDV einsehbar ..."
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2 Hefte im Jahr, halbjährlich zum 31. Mai und 31. Oktober. Preprints und redaktionelle Planungen sind über die Website der GLDV einsehbar

Martin Volk The Automatic Translation of Film Subtitles. A Machine Translation Success Story?

by unknown authors
"... Every so often one hears the complaint that 50 years of research in Machine Translation (MT) has not resulted in much progress, and that current MT systems are still unsatisfactory. A closer look reveals that web-based general-purpose MT systems are used by thousands of users every day. And, on the ..."
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Every so often one hears the complaint that 50 years of research in Machine Translation (MT) has not resulted in much progress, and that current MT systems are still unsatisfactory. A closer look reveals that web-based general-purpose MT systems are used by thousands of users every day. And, on the other hand, special-purpose MT systems have