Computer-assisted closed-captioning of live TV broadcasts in French

Beaumont, Jean-François; Boisvert, Maryse; Brousseau, Julie; Cardinal, Patrick; Chapdelaine, Claude; Comeau, Michel; Ouellet, Pierre; Osterrath, Frédéric

doi:10.21437/interspeech.2006-86

Cited by 24 publications

(1 citation statement)

References 7 publications

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“…As of 2006, in Canada, in Montreal, a system for automatically generating French subtitles (Boulianne et al 2006) is being used in numerous events with large audience participation (Boulianne et al 2008, 199-200).…”

Section: Automatic Subtitling Diachronic Developmentsmentioning

confidence: 99%

Classification of Automatic Subtitling Tools. A Proposal

Varga

2024

SBPUTTML

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This article aims to provide a deeper understanding of the automatic subtitling tools that are currently being used and of their context of application. Based on the assumption that AVT, in general, and subtitling, in particular, are undergoing fundamental changes, it is our aim to analyse the range of tools that allow AVT translators to enhance their productivity and their efficiency. For this purpose, we have analysed 40 different automatic subtitling tools, currently available and accessible on Internet. Through this analysis, it has been possible to observe the main features of these tools and observe their functioning. Therefore, different criteria have been established in order to systemize this extensive inventory based on which 23 categories of software dedicated to automatic subtitling have been identified. These categories have been illustrated with examples. In this study, the aim is to provide a more accurate and more systematic understanding of automated subtitling programs. The paper is addressed to AVT professionals as well as to teachers and students having an interest in the state-of-the-art of automated subtitling.

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Section: Automatic Subtitling Diachronic Developmentsmentioning

confidence: 99%

Classification of Automatic Subtitling Tools. A Proposal

Varga

2024

SBPUTTML

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Sequential Linefeed Insertion into Lecture Transcriptions for Real‐Time Captioning

Ohno

Murata

Matsubara

2015

Elect Comm in Japan

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SUMMARYTo generate readable captions for Japanese spoken monologues such as lectures in real time, it is necessary to sequentially display captions that have proper linefeeds inserted. This paper proposes a technique for sequentially inserting proper linefeeds into a lecture transcript whenever a bunsetsu, which is a linguistic unit shorter than a sentence in Japanese and that roughly corresponds to a basic phrase in English, is identified. Under the assumption that linefeeds are inserted at bunsetsu boundaries, this technique can reduce the delay time of captioning to the utmost possible. This technique statistically judges whether or not a linefeed should be inserted into each bunsetsu boundary by using the information that is available at the time. We conducted experiments on linefeed insertion using a Japanese lecture corpus. The experimental results confirmed that our method, which is a bunsetsu-based linefeed insertion method, was almost as accurate as the sentencebased linefeed insertion method. In addition, we conducted comparative evaluations using four baseline methods. The results confirmed that our method could insert linefeeds more accurately than the simple methods that are thought to have the same delay time as our method. C⃝ 2015 Wiley Periodicals, Inc. Electron Comm Jpn, 98(2): 20-31, 2015; Published online in Wiley Online Library (wileyonlinelibrary.com).

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Simultaneous Synchronization of Text and Speech for Broadcast News Subtitling

Gao

Zhao

et al. 2009

Advances in Neural Networks – ISNN 2009

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Computer-assisted closed-captioning of live TV broadcasts in French

Cited by 24 publications

References 7 publications

Classification of Automatic Subtitling Tools. A Proposal

Classification of Automatic Subtitling Tools. A Proposal

Sequential Linefeed Insertion into Lecture Transcriptions for Real‐Time Captioning

Simultaneous Synchronization of Text and Speech for Broadcast News Subtitling

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