Abstract
In addition to English-speaking networks, the United States has a number of broadcasters that target the Hispanic community by offering their full programming in Spanish. According to the closed captioning regulations in place, they need to provide closed captions to their audiences, which have to be acceptable in terms of completeness, placement, synchronicity and accuracy. This paper provides the main findings of the first scholarly accuracy assessment conducted in the United States for Spanish-language live closed captions. Taking the national newscasts aired by two major Spanish-speaking networks as the focus of study, this article reports on their accuracy and reduction rates, and provides a detailed account of the number, type and severity of the errors encountered. Overall, our assessment revealed improvable accuracy levels, which were mainly caused by omissions of relevant information in combination with an increased presence of minor errors in the form of misspellings, punctuation errors and technology-related issues.
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Notes
- 1.
Respeaking is usually known as voice writing in the US.
- 2.
Despite contacting both broadcasters several times, we obtained no satisfactory response and could not confirm how the closed captions that we analyzed had been produced.
- 3.
The NER model defines accuracy as follows [23]: “excellent” (AR above 99.5%), “very good” (AR 99%–99.49%), “good” (AR 98.5%–98.99%), “acceptable” (AR 98%–98.49%) and “substandard” (AR below 98%).
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Acknowledgement
This research was conducted within the framework of the research group GALMA (Galician Observatory for Media Accessibility).
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Fresno, N. (2021). Live Captioning Accuracy in Spanish-Language Newscasts in the United States. In: Antona, M., Stephanidis, C. (eds) Universal Access in Human-Computer Interaction. Access to Media, Learning and Assistive Environments. HCII 2021. Lecture Notes in Computer Science(), vol 12769. Springer, Cham. https://doi.org/10.1007/978-3-030-78095-1_19
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