COLLEAP - COntextual Language LEArning Pipeline
|COLLEAP - COntextual Language LEArning Pipeline|
|Author(s)||Wloka B., Winiwarter W.|
|Published in||Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)|
|Keyword(s)||language learning, natural language processing, Web crawling (Extra: Language informations, Language learning, NAtural language processing, User driven, Web Crawling, Wikipedia articles, E-learning, Natural language processing systems, Pipelines, Tools, World Wide Web, Computer aided instruction)|
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COLLEAP - COntextual Language LEArning Pipeline is a 2013 conference paper written in English by Wloka B., Winiwarter W. and published in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).
In this paper we present a concept as well as a prototype of a tool pipeline to utilize the abundant information available on the World Wide Web for contextual, user driven creation and display of language learning material. The approach is to capture Wikipedia articles of the user's choice by crawling, to analyze the linguistic aspects of the text via natural language processing and to compile the gathered information into a visually appealing presentation of enriched language information. The tool is designed to address the Japanese language, with a focus on kanji, the pictographic characters used in Japanese scripture.
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