By Linda Armstrong

Speedy fixes, organizational guidance, and cross-curricular actions which are speedy and enjoyable will make a hectic math teacher's existence more straightforward.

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As has been pointed out, these choices are also open to exploitation by speakers so that a politician might assert common ground when none exists or that information falls within the hearer’s Winnie Cheng 48 expectations when in fact it does not, and so on. These forms of exploitation are all part and parcel of an expert discourser’s repertoire, especially one might argue in political discourse. What remains to be investigated is the weighting to be attached to each of these systems within discourse intonation itself and, then, the weighting of discourse intonation as a whole in conveying the total meanings contained in a spoken discourse.

E. 100:0). business meetings service encounters conversations -----------------------------------------------------------------------50:50 67:33 75:25 100:0 Figure 2: Speaker distribution of rise tone Based on the findings in this study using data drawn from the HKCSE, each of the discourse types is plotted on the continuum in Figure 2. Conversations are at one extreme end where the use of the rise tone is chosen equally by participants enjoying equal staus. As we move towards the other end of the continuum we find that the degree to which designated dominant speakers use the rise tone more frequently than the other discourse participants steadlily increases.

2 Overview of Analytical Steps To achieve the major goals listed above, five analytical steps are required: (1) Identify all Vocabulary-based Discourse Units (VBDUs) in a large, multi-register corpus, using TextTiling (2) Analyze the linguistic characteristics of each VBDU, using MultiDimensional Analysis (3) Identify and interpret the basic VBDU Types, using Cluster Analysis (4) Analyze the preferred VBDU types in each register (5) Analyze the structure of particular texts as sequences of VBDU Types The study reported here is based on analysis of texts from two major corpora: the T2K-SWAL Corpus (TOEFL 2000 Spoken and Written Academic Language Corpus; see Biber et al.

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