Munificent
发表于 2025-3-23 12:33:50
https://doi.org/10.1007/978-1-4939-2785-2presentation of these results helps to signpost some of the key lessons learnt from our experiences of building CorCenCC, lessons that can be adapted for use in other language contexts. This chapter and book end with some examples of the sorts of questions that a national corpus like CorCenCC might be used to answer.
ECG769
发表于 2025-3-23 14:46:41
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Kindle
发表于 2025-3-23 18:50:58
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不能约
发表于 2025-3-24 02:15:36
Processing and (Re)presenting Corpora,ke transcription conventions can be developed for, and employed in, a given target language. The tagging and collation of corpus data (via corpus managers) are also briefly explored, before some exemplar corpus querying tools and CorCenCC’s novel pedagogic toolkit, ., are presented.
pellagra
发表于 2025-3-24 04:50:56
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密码
发表于 2025-3-24 08:28:26
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小臼
发表于 2025-3-24 13:41:09
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等待
发表于 2025-3-24 16:12:19
Mathematics for Life Science and Medicineon each individual ‘mode’ of data in turn (i.e. spoken, written and e-language), the chapter explores some key generic questions that are helpful in informing design frame development. By reporting on the specific targets presented, and providing justifications for these, useful guidance for those c
AUGUR
发表于 2025-3-24 20:54:19
Basics, Technicalities, and Digressions,pter .), attention needs to be given to . will contribute data and . they will be recruited. This chapter focuses specifically on the stages of participant recruitment and (meta)data collection when building a corpus. Drawing on our experience in sourcing and collecting the (meta)data for CorCenCC,
Dorsal-Kyphosis
发表于 2025-3-25 00:00:26
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