Voices and Practices in Applied Linguistics: Diversifying a Discipline 2019
DOI: 10.22599/baal1.n
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Using an Online Collocation Dictionary to Support Learners’ L2 Writing

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Cited by 7 publications
(9 citation statements)
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“…However, the findings also presented some challenges of using corpus-based tools in students' collocational acquisition. The students tended to rely much on online dictionaries, which was reported in [44] as a negative habit and could destroy learners' collocation use. As stated in [23], instructed dictionary use should be implemented.…”
Section: Discussionmentioning
confidence: 99%
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“…However, the findings also presented some challenges of using corpus-based tools in students' collocational acquisition. The students tended to rely much on online dictionaries, which was reported in [44] as a negative habit and could destroy learners' collocation use. As stated in [23], instructed dictionary use should be implemented.…”
Section: Discussionmentioning
confidence: 99%
“…Online corpora and corpus-based tools were seen to be useful tools for learners to practice learning autonomy as well as writing correction [30]. However, it also poses learners with major difficulties and even weakens cognitive abilities for collocation use [44]. Further examination can be done to confirm the effectiveness of these tools for a long time.…”
Section: Corpus-based Tools For Collocationsmentioning
confidence: 99%
“…In some studies (Durrant & Schmitt, 2009;Nguyen & Webb, 2017), the MI-score and T-score are frequently used as statistical measures to identify the significant co-occurrence of words in a particular combination. In some other more recent studies (e.g., Cao & Deignan, 2019;Gablasova et al, 2016;Khoja, 2019), logDice has been used on the grounds that it operates on a standardized scale with a fixed value (Rychlý, 2008), a feature that neither the MI-score nor T-score possesses (Hunston, 2002). LogDice also gives prominence to exclusive combinations without highlighting rare combinations, which makes it preferable to the MI-score (Gablasova et al, 2016).…”
Section: Identifying Collocationsmentioning
confidence: 99%
“…From the review of collocation identification, frequency counting of co-occurrence of words from corpora, which is an advantage of the frequency-based approach, is taken in this study. Following Cao and Deignan (2019), a logDice score of 4 or higher is taken as significant and combinations that meet this threshold will be considered collocations.…”
Section: Identifying Collocationsmentioning
confidence: 99%
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