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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
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14
Supporting collocation learning with a digital library
Wu, Shaoqun; Franken, Margaret; Witten, Ian H.. - : Taylor & Francis Group, 2010
Abstract: Extensive knowledge of collocations is a key factor that distinguishes learners from fluent native speakers. Such knowledge is difficult to acquire simply because there is so much of it. This paper describes a system that exploits the facilities offered by digital libraries to provide a rich collocation-learning environment. The design is based on three processes that have been identified as leading to lexical acquisition: noticing, retrieval and generation. Collocations are automatically identified in input documents using natural language processing techniques and used to enhance the presentation of the documents and also as the basis of exercises, produced under teacher control, that amplify students' collocation knowledge. The system uses a corpus of 1.3 B short phrases drawn from the web, from which 29 M collocations have been automatically identified. It also connects to examples garnered from the live web and the British National Corpus.
Keyword: automatic answer generation; CALL; collocation activities; collocation learning
URL: https://hdl.handle.net/10289/3699
https://doi.org/10.1080/09588220903532971
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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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