1 Search Results for "Winiwarter, Werner"


Document
AAA4LLL - Acquisition, Annotation, Augmentation for Lively Language Learning

Authors: Bartholomäus Wloka and Werner Winiwarter

Published in: OASIcs, Volume 93, 3rd Conference on Language, Data and Knowledge (LDK 2021)


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.

Cite as

Bartholomäus Wloka and Werner Winiwarter. AAA4LLL - Acquisition, Annotation, Augmentation for Lively Language Learning. In 3rd Conference on Language, Data and Knowledge (LDK 2021). Open Access Series in Informatics (OASIcs), Volume 93, pp. 29:1-29:15, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2021)


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@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-dev.dagstuhl.de/entities/document/10.4230/OASIcs.LDK.2021.29},
  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}
}
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