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  4. Broccoli: Sprinkling lightweight vocabulary learning into everyday information diets
 
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Broccoli: Sprinkling lightweight vocabulary learning into everyday information diets

Citation Link: https://doi.org/10.15480/882.5641
Publikationstyp
Conference Paper
Date Issued
2020-04-25
Sprache
English
Author(s)
Aydin, Roland 
Klein, Lars  
Miribel, Arnaud  
West, Robert  
TORE-DOI
10.15480/882.5641
TORE-URI
https://hdl.handle.net/11420/40912
Journal
The Web Conference 2020 - Proceedings of the World Wide Web Conference, WWW 2020
Start Page
1344
End Page
1354
Citation
The Web Conference 2020 - Proceedings of the World Wide Web Conference : 1344-1354 (2020-04-25)
Contribution to Conference
World Wide Web Conference 2020
Publisher DOI
10.1145/3366423.3380209
Scopus ID
2-s2.0-85086585230
The learning of a new language remains to this date a cognitive task that requires considerable diligence and willpower, recent advances and tools notwithstanding. In this paper, we propose Broccoli, a new paradigm aimed at reducing the required effort by seamlessly embedding vocabulary learning into users' everyday information diets. This is achieved by inconspicuously switching chosen words encountered by the user for their translation in the target language. Thus, by seeing words in context, the user can assimilate new vocabulary without much conscious effort. We validate our approach in a careful user study, finding that the efficacy of the lightweight Broccoli approach is competitive with traditional, memorization-based vocabulary learning. The low cognitive overhead is manifested in a pronounced decrease in learners' usage of mnemonic learning strategies, as compared to traditional learning. Finally, we establish that language patterns in typical information diets are compatible with spaced-repetition strategies, thus enabling an efficient use of the Broccoli paradigm. Overall, our work establishes the feasibility of a novel and powerful "install-and-forget" approach for embedded language acquisition.
DDC Class
624: Civil Engineering, Environmental Engineering
Publication version
publishedVersion
Lizenz
https://creativecommons.org/licenses/by/4.0/
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3366423.3380209.pdf

Type

Main Article

Size

1.05 MB

Format

Adobe PDF

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