Analyzing personal weblogs in capital of Singapore face: the Wmatrix approach Vincent B.Y. Ooi, Peter K.W. char mark & Andy K.L. Chiang National University of Singapore ** vocabulary definition of blog features with fast rate and conveniences ** mismatched items~~weakness Both Figures 5 and 6 show the gratuity 10 lexical items of the T and U corpora (O1) respectively, when compared with the spoken portion of the BNC sampling station (O2). The statistical ranking is done in scathe of the log-likelihood (LL) set, which shows the overuse (with the positivist sign; or underuse, with the damaging sign) of the first principal fit (i.e. the blog principal sum) against the reference corpus (i.e. the BNC Spoken Sampler). In Wmatrix, statistical significance begins with a LL value of approximately 7, since 6.63 is the cut-off for 99% trust of significance (Rayson 2003, Rayson 2005). LL-scores 1. Computer-mediated items that are plausibly to be shared in the midst of the major varieties of English, including the by-line: a. Emoticons and Discourse Markers: e.g. :) :X,*yummy*, ermmm, hahahaha, sheesh b. Abbreviations ( besides in SMS/texting language): e.g. Tmr, pple, bf, lol, wtf (what the tell aside) c. Creative re-spellings ( similarly in SMS/texting language), e.g. discombobulate (dont), noe (know), urself, nid (need), oso (also) d. Recent standard lexical footing, e.g.
blog, chatroom e. Core lexical items, e.g. Hokkien, mahjong, bitch/fucker f. progress/Popular proper nouns, e.g. (Roger) Federer g. everyday English, e.g. prolly (probably), hafta (have to) 2. Computer-mediated and varietal terms that may be verbalise to characterize online Singapore English particularly, including the following: a. Abbreviations: e.g. sgh (Singapore General Hospital), cny (Chinese recent Year) b. Discourse particles: e.g. de, lah, leh, liao, sia c. Neologisms: e.g. freshies (freshmen) d. Emoticons: e.g. =D (elation)...If you deficiency to get a sufficient essay, order it on our website: Ordercustompaper.com
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