PHPCLANCHILDES with regular expressions

18 matches in 18 utterances

7.82 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (633 utterances, 2,301 words searched).

  1. oh right . MOT · eng_british_Manchester_I/anne09a.cha, line 279 · Anne 2;00
  2. he's all right . MOT · eng_british_Manchester_I/anne09a.cha, line 488 · Anne 2;00
  3. that's all right . MOT · eng_british_Manchester_I/anne09a.cha, line 537 · Anne 2;00
  4. …we can do is we can take them off and see if we can stick them in the right places . MOT · eng_british_Manchester_I/anne09a.cha, line 1005 · Anne 2;00
  5. right . MOT · eng_british_Manchester_I/anne09a.cha, line 1012 · Anne 2;00
  6. that's right . MOT · eng_british_Manchester_I/anne09a.cha, line 1033 · Anne 2;00
  7. that's right . MOT · eng_british_Manchester_I/anne09a.cha, line 1041 · Anne 2;00
  8. right . MOT · eng_british_Manchester_I/anne09a.cha, line 1072 · Anne 2;00
  9. I think you were right . MOT · eng_british_Manchester_I/anne09a.cha, line 1156 · Anne 2;00
  10. all right then . MOT · eng_british_Manchester_I/anne09a.cha, line 1270 · Anne 2;00
  11. oh right . MOT · eng_british_Manchester_I/anne09a.cha, line 1293 · Anne 2;00
  12. oh right . MOT · eng_british_Manchester_I/anne09a.cha, line 1397 · Anne 2;00
  13. all right . MOT · eng_british_Manchester_I/anne09a.cha, line 1464 · Anne 2;00
  14. he's right on that man ? MOT · eng_british_Manchester_I/anne09a.cha, line 1496 · Anne 2;00
  15. oh right . MOT · eng_british_Manchester_I/anne09a.cha, line 1629 · Anne 2;00
  16. oh right . MOT · eng_british_Manchester_I/anne09a.cha, line 1740 · Anne 2;00
  17. I think it'll be all right . MOT · eng_british_Manchester_I/anne09a.cha, line 1807 · Anne 2;00
  18. are you all right ? INV · eng_british_Manchester_I/anne09a.cha, line 2154 · Anne 2;00
  1. MOTis it rubbish ?
    CHIyeah .
    MOT*MOT: oh right .
    MOTit's not the xxx .
    MOTyou're not at the seaside ?
  2. CHIxxx here .
    MOTyeah .
    MOT*MOT: he's all right .
    CHIlook .
    CHIa spider .
  3. MOTbaby's going to go and go to sleep now .
    MOToh .
    MOT*MOT: that's all right .
    MOTI can go to sleep .
    CHIxxx baby's xxx .
  4. MOTin the middle +//.
    MOThere's the pieces in the middle .
    MOT*MOT: what [/] what we can do is we can take them off and see if we can stick them in the right places .
    MOTlet's see if we can .
    MOTright .
  5. MOTwhat [/] what we can do is we can take them off and see if we can stick them in the right places .
    MOTlet's see if we can .
    MOT*MOT: right .
    MOTlet's see if we can do this one ,, shall we ?
    MOTnow .
  6. MOTgate .
    CHIgate .
    MOT*MOT: that's right .
    MOTwhere's the gate ?
    MOTyeah .
  7. MOTyeah .
    CHIhere .
    MOT*MOT: that's right .
    MOTthe gate goes on the house ,, doesn't it ?
    CHIyes .
  8. MOThang on .
    MOTfind you the page they go on .
    MOT*MOT: right .
    MOTcan you see any carrots on that page ?
    CHIyeah .
  9. CHIwhere ?
    MOToh .
    MOT*MOT: I think you were right .
    MOTwhere did you just see an apple ?
    CHIhere .
  10. CHInext page .
    MOTnext page ?
    MOT*MOT: all right then .
    MOTwww .
    CHInext .
  11. MOTa sausage ?
    CHIyeah .
    MOT*MOT: oh right .
    MOTokay .
    CHIthat's bowl too .
  12. MOTwhat ?
    CHIeating that up .
    MOT*MOT: oh right .
    CHIxxx .
    CHIturn page .
  13. MOTget that one out ?
    CHIyeah .
    MOT*MOT: all right .
    CHIxxx .
    MOToh .
  14. MOTpardon ?
    CHIright on that man .
    MOT*MOT: he's right on that man ?
    CHIyeah .
    CHIxxx .
  15. MOTor there ?
    CHIthere .
    MOT*MOT: oh right .
    CHIthere .
    MOTthat's a bird in a nest ,, isn't it ?
  16. MOTare you going to find a space for the piggy to go ?
    CHIhere .
    MOT*MOT: oh right .
    MOThe's kissing the horse .
    CHIa drink .
  17. MOTnever mind .
    CHIxxx .
    MOT*MOT: I think it'll be all right .
    MOTI think that one's not too torn to put in the book .
    CHIbook .
  18. INVmind your head .
    INVxxx .
    INV*INV: are you all right ?
    CHIxxx .
    INVpardon ?

Matches by age

One dot per transcript: matches per 1,000 words of everyone but CHI. Dots of the same child are joined.

Matches by child

Matches per 1,000 words, all transcripts of each child together, highest first.

  1. Anne eng_british_Manchester_I7.82
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/anne09a.chaAnne 2;0.292,30118187.82

What the pattern matched

1 different forms (lowercased). Useful to see what a pattern really catches: unexpected forms here usually mean the pattern is too broad.

  1. right18 · 100.0%