@inproceedings{winiwarter-wloka-2022-viscose,
title = "{VISCOSE} - a Kanji Dictionary Enriched with {VIS}ual, {CO}mpositional, and {SE}mantic Information",
author = {Winiwarter, Werner and
Wloka, Bartholom{\"a}us},
editor = "Zock, Michael and
Chersoni, Emmanuele and
Hsu, Yu-Yin and
Santus, Enrico",
booktitle = "Proceedings of the Workshop on Cognitive Aspects of the Lexicon",
month = nov,
year = "2022",
address = "Taipei, Taiwan",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2022.cogalex-1.9",
doi = "10.18653/v1/2022.cogalex-1.9",
pages = "68--77",
abstract = "In this paper, we present a novel approach for building kanji dictionaries by enriching the lexical data of 3,500 kanji with images, structural decompositions, and semantically based cross-media mappings from the textual to the visual dimension. Our kanji dictionary is part of a Web-based contextual language learning environment based on augmented browsing technology. We display our multimodal kanji information as kanji cards in the Web browser, offering a versatile representation that can be integrated into other advanced creative language learning applications, such as memorization puzzles, creative storytelling assignments, or educational games.",
}
<?xml version="1.0" encoding="UTF-8"?>
<modsCollection xmlns="http://www.loc.gov/mods/v3">
<mods ID="winiwarter-wloka-2022-viscose">
<titleInfo>
<title>VISCOSE - a Kanji Dictionary Enriched with VISual, COmpositional, and SEmantic Information</title>
</titleInfo>
<name type="personal">
<namePart type="given">Werner</namePart>
<namePart type="family">Winiwarter</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Bartholomäus</namePart>
<namePart type="family">Wloka</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<originInfo>
<dateIssued>2022-11</dateIssued>
</originInfo>
<typeOfResource>text</typeOfResource>
<relatedItem type="host">
<titleInfo>
<title>Proceedings of the Workshop on Cognitive Aspects of the Lexicon</title>
</titleInfo>
<name type="personal">
<namePart type="given">Michael</namePart>
<namePart type="family">Zock</namePart>
<role>
<roleTerm authority="marcrelator" type="text">editor</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Emmanuele</namePart>
<namePart type="family">Chersoni</namePart>
<role>
<roleTerm authority="marcrelator" type="text">editor</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Yu-Yin</namePart>
<namePart type="family">Hsu</namePart>
<role>
<roleTerm authority="marcrelator" type="text">editor</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Enrico</namePart>
<namePart type="family">Santus</namePart>
<role>
<roleTerm authority="marcrelator" type="text">editor</roleTerm>
</role>
</name>
<originInfo>
<publisher>Association for Computational Linguistics</publisher>
<place>
<placeTerm type="text">Taipei, Taiwan</placeTerm>
</place>
</originInfo>
<genre authority="marcgt">conference publication</genre>
</relatedItem>
<abstract>In this paper, we present a novel approach for building kanji dictionaries by enriching the lexical data of 3,500 kanji with images, structural decompositions, and semantically based cross-media mappings from the textual to the visual dimension. Our kanji dictionary is part of a Web-based contextual language learning environment based on augmented browsing technology. We display our multimodal kanji information as kanji cards in the Web browser, offering a versatile representation that can be integrated into other advanced creative language learning applications, such as memorization puzzles, creative storytelling assignments, or educational games.</abstract>
<identifier type="citekey">winiwarter-wloka-2022-viscose</identifier>
<identifier type="doi">10.18653/v1/2022.cogalex-1.9</identifier>
<location>
<url>https://aclanthology.org/2022.cogalex-1.9</url>
</location>
<part>
<date>2022-11</date>
<extent unit="page">
<start>68</start>
<end>77</end>
</extent>
</part>
</mods>
</modsCollection>
%0 Conference Proceedings
%T VISCOSE - a Kanji Dictionary Enriched with VISual, COmpositional, and SEmantic Information
%A Winiwarter, Werner
%A Wloka, Bartholomäus
%Y Zock, Michael
%Y Chersoni, Emmanuele
%Y Hsu, Yu-Yin
%Y Santus, Enrico
%S Proceedings of the Workshop on Cognitive Aspects of the Lexicon
%D 2022
%8 November
%I Association for Computational Linguistics
%C Taipei, Taiwan
%F winiwarter-wloka-2022-viscose
%X In this paper, we present a novel approach for building kanji dictionaries by enriching the lexical data of 3,500 kanji with images, structural decompositions, and semantically based cross-media mappings from the textual to the visual dimension. Our kanji dictionary is part of a Web-based contextual language learning environment based on augmented browsing technology. We display our multimodal kanji information as kanji cards in the Web browser, offering a versatile representation that can be integrated into other advanced creative language learning applications, such as memorization puzzles, creative storytelling assignments, or educational games.
%R 10.18653/v1/2022.cogalex-1.9
%U https://aclanthology.org/2022.cogalex-1.9
%U https://doi.org/10.18653/v1/2022.cogalex-1.9
%P 68-77
Markdown (Informal)
[VISCOSE - a Kanji Dictionary Enriched with VISual, COmpositional, and SEmantic Information](https://aclanthology.org/2022.cogalex-1.9) (Winiwarter & Wloka, CogALex 2022)
ACL