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1
Automating vocabulary tests and enriching online courses for language learners
König, Jemma Lynette. - : The University of Waikato, 2019
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2
F-Lingo: Integrating lexical feature identification into MOOC platforms for learning professional and academic English
In: 6th IEEE Conference on Learning With MOOCS (LWMOOCS) - Enhancing Workforce Diversity and Inclusion (2019)
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3
Learning collocations with FLAX apps
In: MLearn 2016 (2016)
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4
Learner Modelling for Individualised Reading in a Second Language
Walmsley, Michael. - : University of Waikato, 2016
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5
Using Wikipedia for language learning
In: CITRENZ 2015 (2015)
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6
Second language learning in the context of MOOCs
In: CSEDU 2014 (2014)
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7
An open-source toolkit for mining Wikipedia
Milne, David N.; Witten, Ian H.. - : Elsevier, 2013
Abstract: The online encyclopedia Wikipedia is a vast, constantly evolving tapestry of interlinked articles. For developers and researchers it represents a giant multilingual database of concepts and semantic relations, a potential resource for natural language processing and many other research areas. This paper introduces the Wikipedia Miner toolkit, an open-source software system that allows researchers and developers to integrate Wikipedia's rich semantics into their own applications. The toolkit creates databases that contain summarized versions of Wikipedia's content and structure, and includes a Java API to provide access to them. Wikipedia's articles, categories and redirects are represented as classes, and can be efficiently searched, browsed, and iterated over. Advanced features include parallelized processing of Wikipedia dumps, machine-learned semantic relatedness measures and annotation features, and XML-based web services. Wikipedia Miner is intended to be a platform for sharing data mining techniques. Annotation; Disambiguation; Ontology extraction; Semantic relatedness; Toolkit; Wikipedia
Keyword: Annotation; Disambiguation; Machine learning; Ontology extraction; Semantic relatedness; Toolkit; Wikipedia
URL: https://doi.org/10.1016/j.artint.2012.06.007
https://hdl.handle.net/10289/6733
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8
Automatic construction of lexicons, taxonomies, ontologies, and other knowledge structures
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9
Learning a concept-based document similarity measure
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10
Data mining : practical machine learning tools and techniques
Witten, Ian H.; Frank, Eibe. - 3. ed. - Amsterdam ; Heidelberg [u.a.] : Morgan Kaufmann, Elsevier, 2011
IDS Mannheim
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11
Utilizing lexical data from a Web-derived corpus to expand productive collocation knowledge
In: Recall. - Cambridge [u.a.] : Cambridge Univ. Press 22 (2010) 1, 83-102
OLC Linguistik
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12
Supporting Collocation Learning
Wu, Shaoqun. - : University of Waikato, 2010
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13
Utilizing lexical data from a Web-derived corpus to expand productive collocation knowledge
Wu, Shaoqun; Witten, Ian H.; Franken, Margaret. - : European Association for Computer Assisted Language Learning, 2010
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14
Supporting collocation learning with a digital library
Wu, Shaoqun; Franken, Margaret; Witten, Ian H.. - : Taylor & Francis Group, 2010
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15
Experiences with the Greenstone digital library software for international development
In: Joint Conference on Digital Libraries (JCDL) and the Annual International Conference on Asia-Pacific Digital Libraries (ICADL) (2010)
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16
Refining the use of the web (and web search) as a language teaching and learning resource
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17
Human-competitive tagging using automatic keyphrase extraction
Medelyan, Olena; Frank, Eibe; Witten, Ian H.. - : Association for Computational Linguistics, 2009
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18
A digital library of language learning exercises
Wu, Shaoqun; Witten, Ian H.; Edwards, Arthur. - : Kassel University Press, 2007
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19
Towards a digital library for language learning
In: ECDL 2006 (2006)
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20
Digital libraries and minority languages
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