License: Creative Commons Attribution 4.0 International license (CC BY 4.0)
When quoting this document, please refer to the following
DOI: 10.4230/OASIcs.LDK.2021.29
URN: urn:nbn:de:0030-drops-145654
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2021/14565/
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Wloka, Bartholomäus ; Winiwarter, Werner

AAA4LLL - Acquisition, Annotation, Augmentation for Lively Language Learning

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OASIcs-LDK-2021-29.pdf (2 MB)

Abstract

In this paper we describe a method for enhancing the process of studying Japanese by a user-centered approach. This approach includes three parts: an innovative way of acquiring learning material from topic seeds, multifaceted sentence analysis to present sentence annotations, and the browser-integrated augmentation of perusing Wikipedia pages of special interest for the learner. This may result in new topic seeds to yield additional learning content, thus repeating the cycle.

BibTeX - Entry

@InProceedings{wloka_et_al:OASIcs.LDK.2021.29,
  author =	{Wloka, Bartholom\"{a}us and Winiwarter, Werner},
  title =	{{AAA4LLL - Acquisition, Annotation, Augmentation for Lively Language Learning}},
  booktitle =	{3rd Conference on Language, Data and Knowledge (LDK 2021)},
  pages =	{29:1--29:15},
  series =	{Open Access Series in Informatics (OASIcs)},
  ISBN =	{978-3-95977-199-3},
  ISSN =	{2190-6807},
  year =	{2021},
  volume =	{93},
  editor =	{Gromann, Dagmar and S\'{e}rasset, Gilles and Declerck, Thierry and McCrae, John P. and Gracia, Jorge and Bosque-Gil, Julia and Bobillo, Fernando and Heinisch, Barbara},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/opus/volltexte/2021/14565},
  URN =		{urn:nbn:de:0030-drops-145654},
  doi =		{10.4230/OASIcs.LDK.2021.29},
  annote =	{Keywords: Web-based language learning, augmented browsing, natural language annotation, corpus alignment, Japanese computing, semantic representation}
}

Keywords: Web-based language learning, augmented browsing, natural language annotation, corpus alignment, Japanese computing, semantic representation
Collection: 3rd Conference on Language, Data and Knowledge (LDK 2021)
Issue Date: 2021
Date of publication: 30.08.2021

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