Example sentences of "oh [interj] [det] [be] " in BNC.

  Next page
No Sentence
1 Oh oh that 's I was going to say do you do you know about career development loans ?
2 Oh oh oh oh that 's not bad .
3 Open me post now for the first time , oh oh that 's nice oh I can have a update for supply teachers , Wednesday the fifteenth of April , you baby sit for me ?
4 and gave us brandy , gave us brand oh oh that 's it
5 Oh oh that 's nice .
6 Oh oh that 's in good time .
7 Yes that oh oh That was a l that was in my great grannie 's time that they went there .
8 Oh , oh oh that was for her ears
9 Oh aye that 's another lad he was on his road home the pony used to After a a drink in Kilray In Kerry the the ponies nearly took the men home .
10 Oh aye that 's the one Sandra 's
11 Oh aye that 's new is n't it ?
12 Oh aye that 's why we moved from our house she had me up , had played bloody hell over it , no bugger was getting no sleep
13 Oh aye that 's where the .
14 Oh aye that 's right I heard it on the radio .
15 Oh aye that 's
16 Oh aye that was good and all .
17 I I have feelings about it , I I I mean , my , generally my experience I do n't know I have n't discussed with other members but er , when I the panel that I er , allocated to erm and I was telephoned , could a make , and certain dates were made and I finally made one then I was told , oh no that 's not convenient !
18 Right , so , you know , there 's no econo-matrixes by no means the science and you can essentially get the computer to er tell the story that you want simply by choosing er critical values but nevertheless we 've re probably be reasonably confident in our estimate , particularly if those estimates , we 'll just go back to them , er the er display the regression results again , display them again but those coefficients are elasticities , right , they 're cored with our a priori reasoning right , we put ah , unit elasticity , you may want to test the hypothesis that the elasticity on erm the income variable , that income elasticity is significant given one , just generate computer a T ratio in the hypothesis value being one instead of zero , as in a normal T test , right , and that coefficient point nine five is sufficiently close to one , by looking at the standard error to er further that is an estimate of one you 've got very inelastic er demand erm for the , the textiles , that coefficient , is that the time , I ca n't believe it if that 's all , oh no that 's eight , do n't worry
19 Oh no that 's green you 're okay .
20 Oh no that 's wrong then .
21 To the , oh no that 's the .
22 So he said , oh no that 's only on the Sharp and on washing machines .
23 Oh no that 's oh no that was n't uncomfortably crowded .
24 Oh no that 's
25 oh no that 's what , I 've got cross country tomorrow , first lesson I do n't want cross country
26 Oh no that 's , that 's where I usually get them .
27 Oh no that 's all I need !
28 So I just thought she 's gon na yeah if it was out of the question she could have said oh no that 's it , there 's a flat rate so I
29 I think it 's time Jean oh no that 's mine do n't let anybody touch that !
30 Is there any more in there oh no that 's right there .
  Next page