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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Page: 1 2 Hits 1 – 20 of 26 1 AI augmented approach to identify shared ideas from large format public consultation Weng, Min-Hsien; Wu, Shaoqun; Dyer, Mark. - : MDPI AG, 2021 BASE Show details 2 Urban Narrative: Computational Linguistic Interpretation of Large Format Public Participation for Urban Infrastructure Dyer, Mark; Weng, Min-Hsien; Wu, Shaoqun... In: Urban Planning ; 5 ; 4 ; 20-32 ; The City of Digital Social Innovators (2020) BASE Show details 3 Bundle-driven move analysis: Sentence initial lexical bundles in PhD abstracts Wu, Shaoqun; Li, Liang; Franken, Margaret. - : Elsevier, 2020 BASE Show details 4 Urban narrative: Computational linguistic interpretation of large format public participation for urban infrastructure Dyer, Mark; Weng, Min-Hsien; Wu, Shaoqun. - : Cogitatio, 2020 BASE Show details 5 Making use of and adapting MOOCs text resources for language learning Wu, Shaoqun; Fitzgerald, Alannah; Franken, Margaret. - 2019 BASE Show details 6 Automating vocabulary tests and enriching online courses for language learners König, Jemma Lynette. - : The University of Waikato, 2019 BASE Show details 7 Automatically augmenting academic text for language learning: PhD abstract corpora with the British Library Yu, Alex; Witten, Ian; Fitzgerald, Alannah. - : IGI Global, 2018 BASE Show details 8 Sentence initial bundles: A comparative study between Chinese master’s L2 theses and published writing Wu, Shaoqun; Li, Liang; Franken, Margaret. - : Asian EFL Journal Press, 2018 BASE Show details 9 Chinese postgraduates' explanation of the sources of sentence initial bundles in their thesis writing Li, Liang; Franken, Margaret; Wu, Shaoqun. - 2018 BASE Show details 10 Evaluating the efficacy of the digital commons for scaling data-driven learning Marin, Maria Jose; Witten, Ian; Fitzgerald, Alannah. - : Routledge, Taylor & Francis., 2017 BASE Show details 11 Sentence initial bundles in L2 thesis writing: A comparative study of Chinese L2 and New Zealand L1 postgraduates’ writing Li, Liang. - : University of Waikato, 2017 BASE Show details 12 Learning collocations with FLAX apps Yu, Alex; Wu, Shaoqun; Witten, Ian H.... In: MLearn 2016 (2016) BASE Show details 13 FLAX: Flexible and open corpus-based language collections development Fitzgerald, Alannah; Wu, Shaoqun; Marin, Maria Jose. - : Research-publishing.net, 2015 BASE Show details 14 Using Wikipedia for language learning Wu, Shaoqun; Witten, Ian H. In: CITRENZ 2015 (2015) BASE Show details 15 FLAX: Flexible and open corpus-based language collections development Fitzgerald, Alannah; Wu, Shaoqun; Marín, María José. - : Research-publishing.net, 2015 BASE Show details 16 Investigating an open methodology for designing domain-specific language collections Barge, Martin; Fitzgerald, Alannah; Wu, Shaoqun. - 2014 BASE Show details 17 Second Language Learning in the Context of MOOCs Wu, Shaoqun; Fitzgerald, Alannah; Witten, Ian. - 2014 BASE Show details 18 Investigating an open methodology for designing domain-specific language collections Fitzgerald, Alannah; Wu, Shaoqun; Barge, Martin In: 2014 EUROCALL (2014) BASE Show details 19 Second language learning in the context of MOOCs Wu, Shaoqun; Fitzgerald, Alannah; Witten, Ian H. In: CSEDU 2014 (2014) BASE Show details 20 Supporting Collocation Learning Wu, Shaoqun. - : University of Waikato, 2010 Abstract: Collocations are of great importance for second language learners. Knowledge of them plays a key role in producing language accurately and fluently. But such knowledge is difficult to acquire, simply because there is so much of it. Collocation resources for learners are limited. Printed dictionaries are restricted in size, and only provide rudimentary search and retrieval options. Free online resources are rare, and learners find the language data they offer hard to interpret. Online collocation exercises are inadequate and scattered, making it difficult to acquire collocations in a systematic way. This thesis makes two claims: (1) corpus data can be presented in different ways to facilitate effective collocation learning, and (2) a computer system can be constructed to help learners systematically strengthen and enhance their collocation knowledge. To investigate the first claim, an enormous Web-derived corpus was processed, filtered, and organized into three searchable digital library collections that support different aspects of collocation learning. Each of these constitutes a vast concordance whose entries are presented in ways that help students use collocations more effectively in their writing. To provide extended context, concordance data is linked to illustrative sample sentences, both on the live Web and in the British National Corpus. Two evaluations were conducted, both of which suggest that these collections can and do help improve student writing. For the second claim, a system was built that automatically identifies collocations in texts that teachers or students provide, using natural language processing techniques. Students study, collect and store collocations of interest while reading. Teachers construct collocation exercises to consolidate what students have learned and amplify their knowledge. The system was evaluated with teachers and students in classroom settings, and positive outcomes were demonstrated. We believe that the deployment of computer-based collocation learning systems is an exciting development that will transform language learning. Keyword: Collocation teaching and learning; computer-assisted collocation learning URL: https://hdl.handle.net/10289/4885 BASE Hide details Page: 1 2

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