Example sentences of "[am/are] [v-ing] [prep] [verb] the [adj] " in BNC.

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1 Here I am talking to you about myself — a thing I assure you I very very rarely do — while you are shrinking from making the slightest personal communication to me .
2 We 're talking about rescinding the entire brief . ’
3 But if you 're thinking of doing the same , make sure you get a recording that can be sung-along with and not one of those dragged out funereal dirge versions .
4 Incidentally erm next Friday no the Friday after , so Friday the eleventh anyway , we 're gon na set the whole t erm Hall out for the banquet a day early so that people can come and see it .
5 And we 're going to discuss er the likes of and and myself and Stuart er how we 're gon na allocate the national accounts and who 's gon na do what and just clarify
6 Oh my goodness John I do n't know who you 're gon na interview the national treasury
7 I least we know we 're gon na clear the first lot in a week then now do n't we .
8 You 're gon na make the actual statistics worse okay yeah you can do that but it 's the vocabulary that 's not strong enough
9 Between six people and they 're gon na get the same that 's all a sixth means .
10 Shuffle then cos we 're gon na get the same again .
11 So we 're gon na get the original magazine or have you already got it ?
12 You 're gon na get the full
13 so you 're gon na have the front room with your grey suite in it ?
14 fair , fair enough , I mean we 're gon na have the full debate okay , the full debate in our January meeting
15 And and , they 're the wrong , you know , if you 're gon na , if you 're gon na redecorate the whole thing you need to erm you need to , you know .
16 Erm , they 're gon na look the same
17 So you 're gon na multiply the twenty eight by ?
18 It 's it 's they 're gon na use the green wedges that are already there and the existing footpaths which are already cycled along .
19 Right , what we 're now going to do is incorporate that dummy variable as the regressor in our model as an explanatory variable , so what 's going to happen is that that dummy variable is turned off , alright in the first part of the sample right up until the war that dummy variable 's going to be off , right so it has a value of zero , right , then in nineteen forty through to nineteen forty five it 's switched on and what it 's going to do is to pick up any differential effects , right , in the intercept between wartime and peacetime right , we 'll talk a little bit more , more about that in a second , we 're going to add it in as a regressor , right , because it only comes on during the wartime it will pick up any shift in the intercept , right , that occurs due to the war if there is one , of course there may not be but it 's quite likely that there , there may well be , so if you type Q to come out of the data processing environment , go back to the action menu and test estimate forecast okay at the dialog box just add D one to your list of explanatory variables , alright then press the end key , right , yeah we 're gon na use the full sample right , we gon na use O L S , right you have now estimated the model with this dummy variable now just to see what 's happened to those coefficients the er incoming elasticity was at nought point six is now doubled right to one point one four more importantly , right , its T ratio has jumped from one point eight five right to six point eight , as a result , we now say that the incoming elasticity , the income coefficients , right , the significant zero , it 's important to explain the textiles as such the er , we are now getting a very different estimate for our
20 Cos that 's the only way you 're gon na seize the public imagination .
21 We now turn to the benefit systems and in this particular group , colleagues , we 're gon na call the following motions motion three eighty , motion three eight one , motion three eight two , motion three eight three and motion three eight four .
22 In Latvia , thoughts are turning to bringing the former Soviet satellite state back into the ‘ light ’ and that means the suppressed aviators are beginning to stir .
23 We 've got two officer 's for example who are leading on working the young people in the town , Youth Development Officer 's er we , the Local Government Unit has a policy team initiated work on the youth policy , and this arose out of erm a member seminar 's , September eighty nine , where er the members felt that really the Council was n't doing enough for young people , that we as a Council , not not to think about young in the way we deliver our services and it was felt that we needed to go out and talked to young people , which we did in the winter of that year , erm and find out what they wanted from us , and the res as a result of that , that , that policy , and that consultation exercise has now developed into a front line service where we have two people full time working with young people in the town and that 's on various things , graffiti project , the underpasses in the town we , which have got graffiti type I mean I know there not everybody 's cup of tea , but I mean they way .
24 It is now worthwhile to see how well we are doing with recording the other senses .
25 Well I think this war the aim of this war is to achieve erm minimum casualty , and by doing what the allied forces are doing by denying the Iraqui forces the logistics such as transportations and communication system is very vital to reduce the power of the enemy and then you can force him to retreat , or you can weaken the army that will result in minimum casualty for the allied forces .
26 I 'm talking about having the bloody money to do this , you know .
27 Er , no I , I 'm gon na do the other one , but the other one will be a laugh for work for the boys at work , but I ca n't say it
28 You lifted me up , Jezrael Brown , and I 'm gon na do the same for you .
29 and them I 'm gon na think I 'm gon na do the same South America
30 Well I 'm gon na do the pre-play school one
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