Werner Winiwarter


2022

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VISCOSE - a Kanji Dictionary Enriched with VISual, COmpositional, and SEmantic Information
Werner Winiwarter | Bartholomäus Wloka
Proceedings of the Workshop on Cognitive Aspects of the Lexicon

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.

2014

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Building English-Vietnamese Named Entity Corpus with Aligned Bilingual News Articles
Quoc Hung Ngo | Dinh Dien | Werner Winiwarter
Proceedings of the Fifth Workshop on South and Southeast Asian Natural Language Processing

2013

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EVBCorpus - A Multi-Layer English-Vietnamese Bilingual Corpus for Studying Tasks in Comparative Linguistics
Quoc Hung Ngo | Werner Winiwarter | Bartholomäus Wloka
Proceedings of the 11th Workshop on Asian Language Resources

1997

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A Comparative Study of the Application of Different Learning Techniques to Natural Language Interfaces
Werner Winiwarter | Yahiko Kambayashi
CoNLL97: Computational Natural Language Learning