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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
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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
Abstract: Collocations are of great importance for second language learners, and a learner’s knowledge of them plays a key role in producing language fluently (Nation, 2001: 323). In this article we describe and evaluate an innovative system that uses a Web-derived corpus and digital library software to produce a vast concordance and present it in a way that helps students use collocations more effectively in their writing. Instead of live search we use an off-line corpus of short sequences of words, along with their frequencies. They are preprocessed, filtered, and organized into a searchable digital library collection containing 380 million five-word sequences drawn from a vocabulary of 145,000 words. Although the phrases are short, learners can browse more extended contexts because the system automatically locates sample sentences that contain them, either on the Web or in the British National Corpus. Two evaluations were conducted: an expert user tested the system to see if it could generate suitable alternatives for given text fragments, and students used it for a particular exercise. Both suggest that, even within the constraints of a limited study, the system could and did help students improve their writing.
Keyword: collocation; collocation knowledge; concordancers; concordancing; data-driven; web corpus
URL: https://hdl.handle.net/10289/3531
https://doi.org/10.1017/S0958344009990218
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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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