This paper refers to work carried out in the Subspeak project [1] in which we are investigating the use of speech recognition in live television subtitling. Research to date has shown that with current speech recognition technology it is not possible to achieve a satisfactory level of accuracy in the direct transcription of broadcast material. To circumvent this problem in our system the broadc...

In Flanders, all TV shows are subtitled. However, the process of subtitling is a very time-consuming one and can be sped up by providing the output of a speech recognizer run on the audio of the TV show, prior to the subtitling. Naturally, this speech recognition will perform much better if the employed language model is adapted to the register and the topic of the program. We present several l...

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Codification of nonverbal elements in subtitling movies is a challenge for translators. The aim of this study was to investigate the strategies used by Iranian subtitlers for codification of nonverbal elements in subti- tling English movies into Persian using Perego’s shifts and strategies (2003). For this purpose, a selection of 20 English movies (ST) with their...

Providing subtitling for multimedia content is a highly costly process. Any system aimed at automating at least part of this process may therefore yield significant economic benefits for content providers. In this paper, we present an integrated automatic system capable of automatically subtitling weather forecasts and news broadcasts. In this system, a number of different modules are stringed ...