Spotting Acronyms and Initialisms with the Help of Informatics
The growing popularity of streaming services has led to innumerable audiovisual material available for the audience. As movies, documentaries, or TV shows are part of the entertainment industry, they aim at reaching viewers worldwide with the help of dubbed and subtitled versions. Our aim is to...
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| Main Author: | |
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| Format: | Article |
| Language: | deu |
| Published: |
Scientia Publishing House
2022-12-01
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| Series: | Acta Universitatis Sapientiae: Philologica |
| Subjects: | |
| Online Access: | https://acta.sapientia.ro/content/docs/143-04.pdf |
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| Summary: | The growing popularity of streaming services has led to
innumerable audiovisual material available for the audience. As movies,
documentaries, or TV shows are part of the entertainment industry, they
aim at reaching viewers worldwide with the help of dubbed and subtitled
versions. Our aim is to collect the acronyms used in the transcripts/subtitles
of several American political TV shows (24, Designated Survivor, House
of Cards, and The West Wing) and analyse their translated versions into
Hungarian. However, the strenuous activity of opening each subtitle file one
by one and browsing through them to spot and collect the acronyms and
initialisms would result in countless mouse clicks. Hence, a specific software
(SRT Manager) was designed to speed up the process. As the majority of
definitions regarding acronyms and initialisms focus on the fact that they
result from the combination of at least two capital letters, once the software
gets the input (multiple subtitle files of entire seasons), it provides all the
consecutive two- or more capital letter instances (with or without periods)
found in the raw data, such as AA or A.A. Further statistical data (the source
file of each instance, counting all unique values and numbering occurrences,
and adding sample lines from the subtitle) also saves a lot of time and energy,
as it can easily be exported to spreadsheet programs for further data analysis. |
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| ISSN: | 2067-5151 2068-2956 |