Smart subtitles for vocabulary learning
Language learners often use subtitled videos to help them learn. However, standard subtitles are geared more towards comprehension than vocabulary learning, as translations are nonliteral and are provided only for phrases, not vocabulary. This paper presents Smart Subtitles, which are interactive su...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Article |
| Language: | en_US |
| Published: |
Association for Computing Machinery (ACM)
2014
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| Online Access: | http://hdl.handle.net/1721.1/90411 https://orcid.org/0000-0002-0442-691X |
| _version_ | 1826203850848075776 |
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| author | Kovacs, Geza Miller, Robert C. |
| author2 | Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory |
| author_facet | Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory Kovacs, Geza Miller, Robert C. |
| author_sort | Kovacs, Geza |
| collection | MIT |
| description | Language learners often use subtitled videos to help them learn. However, standard subtitles are geared more towards comprehension than vocabulary learning, as translations are nonliteral and are provided only for phrases, not vocabulary. This paper presents Smart Subtitles, which are interactive subtitles tailored towards vocabulary learning. Smart Subtitles can be automatically generated from common video sources such as subtitled DVDs. They provide features such as vocabulary definitions on hover, and dialog-based video navigation. In our pilot study with intermediate learners studying Chinese, participants correctly defined over twice as many new words in a post-viewing vocabulary test when they used Smart Subtitles, compared to dual Chinese-English subtitles. Learners spent the same amount of time watching clips with each tool, and enjoyed viewing videos with Smart Subtitles as much as with dual subtitles. Learners understood videos equally well using either tool, as indicated by self-assessments and independent evaluations of their summaries. |
| first_indexed | 2024-09-23T12:44:36Z |
| format | Article |
| id | mit-1721.1/90411 |
| institution | Massachusetts Institute of Technology |
| language | en_US |
| last_indexed | 2024-09-23T12:44:36Z |
| publishDate | 2014 |
| publisher | Association for Computing Machinery (ACM) |
| record_format | dspace |
| spelling | mit-1721.1/904112022-09-28T09:46:24Z Smart subtitles for vocabulary learning Kovacs, Geza Miller, Robert C. Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science Miller, Robert C. Language learners often use subtitled videos to help them learn. However, standard subtitles are geared more towards comprehension than vocabulary learning, as translations are nonliteral and are provided only for phrases, not vocabulary. This paper presents Smart Subtitles, which are interactive subtitles tailored towards vocabulary learning. Smart Subtitles can be automatically generated from common video sources such as subtitled DVDs. They provide features such as vocabulary definitions on hover, and dialog-based video navigation. In our pilot study with intermediate learners studying Chinese, participants correctly defined over twice as many new words in a post-viewing vocabulary test when they used Smart Subtitles, compared to dual Chinese-English subtitles. Learners spent the same amount of time watching clips with each tool, and enjoyed viewing videos with Smart Subtitles as much as with dual subtitles. Learners understood videos equally well using either tool, as indicated by self-assessments and independent evaluations of their summaries. 2014-09-26T18:08:37Z 2014-09-26T18:08:37Z 2014-04 Article http://purl.org/eprint/type/ConferencePaper 9781450324731 http://hdl.handle.net/1721.1/90411 Geza Kovacs and Robert C. Miller. 2014. Smart subtitles for vocabulary learning. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI '14). ACM, New York, NY, USA, 853-862. https://orcid.org/0000-0002-0442-691X en_US http://dx.doi.org/10.1145/2556288.2557256 Proceedings of the 32nd annual ACM conference on Human factors in computing systems (CHI '14) Creative Commons Attribution-Noncommercial-Share Alike http://creativecommons.org/licenses/by-nc-sa/4.0/ application/pdf Association for Computing Machinery (ACM) MIT web domain |
| spellingShingle | Kovacs, Geza Miller, Robert C. Smart subtitles for vocabulary learning |
| title | Smart subtitles for vocabulary learning |
| title_full | Smart subtitles for vocabulary learning |
| title_fullStr | Smart subtitles for vocabulary learning |
| title_full_unstemmed | Smart subtitles for vocabulary learning |
| title_short | Smart subtitles for vocabulary learning |
| title_sort | smart subtitles for vocabulary learning |
| url | http://hdl.handle.net/1721.1/90411 https://orcid.org/0000-0002-0442-691X |
| work_keys_str_mv | AT kovacsgeza smartsubtitlesforvocabularylearning AT millerrobertc smartsubtitlesforvocabularylearning |