PHPCLANCHILDES with regular expressions

13 matches in 13 utterances

1.75 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (1,450 utterances, 7,446 words searched).

  1. you're welcome . MOT · eng_USA_Bloom/peter09.cha, line 2428 · Peter 2;02
  2. you're welcome . LOI · eng_USA_Bloom/peter09.cha, line 2623 · Peter 2;02
  3. you're welcome . LOI · eng_USA_Bloom/peter09.cha, line 2828 · Peter 2;02
  4. you're welcome . LOI · eng_USA_Bloom/peter09.cha, line 3371 · Peter 2;02
  5. you're welcome # you like it ? LOI · eng_USA_Bloom/peter09.cha, line 3629 · Peter 2;02
  6. you're welcome . PAT · eng_USA_Bloom/peter09.cha, line 3792 · Peter 2;02
  7. you're welcome . LOI · eng_USA_Bloom/peter09.cha, line 3903 · Peter 2;02
  8. you're welcome . LOI · eng_USA_Bloom/peter09.cha, line 4353 · Peter 2;02
  9. you're welcome . PAT · eng_USA_Bloom/peter09.cha, line 4398 · Peter 2;02
  10. you're welcome . PAT · eng_USA_Bloom/peter09.cha, line 5181 · Peter 2;02
  11. you're welcome . LOI · eng_USA_Bloom/peter09.cha, line 5695 · Peter 2;02
  12. you're welcome . PAT · eng_USA_Bloom/peter09.cha, line 5795 · Peter 2;02
  13. you're welcome . PAT · eng_USA_Bloom/peter09.cha, line 7053 · Peter 2;02
  1. eng_USA_Bloom/peter09.cha, line 2428 · Peter, 2;2.13
    CHII want some pretzel mama # ok up there # up there # up there # mommy I want some pretzel # up there .
    CHIthank you .
    MOT*MOT: you're welcome .
    LOIall right .
    PATare you having pretzel and gum at the same time ?
  2. eng_USA_Bloom/peter09.cha, line 2623 · Peter, 2;2.13
    LOIok [<] # there .
    CHIthank you # thank you # thank you .
    LOI*LOI: you're welcome .
    CHIxxx .
    CHIhello # xxx # xxx .
  3. eng_USA_Bloom/peter09.cha, line 2828 · Peter, 2;2.13
    PATyou need the screwdriver ?
    CHIgi(ve) me that screwdriver # thank you .
    LOI*LOI: you're welcome .
    CHIwelcome # what's that go there # what that # goes there # Christ .
    PATChrist ?
  4. eng_USA_Bloom/peter09.cha, line 3371 · Peter, 2;2.13
    LOIoops # you turned it too much # oh .
    CHIuh # thank you .
    LOI*LOI: you're welcome .
    CHIlady .
    LOImmhm # that's the lady .
  5. eng_USA_Bloom/peter09.cha, line 3629 · Peter, 2;2.13
    LOIcan you take it ?
    CHIa candy # thank you .
    LOI*LOI: you're welcome # you like it ?
    PAToh your teeth !
    PATdoesn't that hurt your teeth ?
  6. eng_USA_Bloom/peter09.cha, line 3792 · Peter, 2;2.13
    CHIoh .
    CHIoh thank you .
    PAT*PAT: you're welcome .
    CHIxxx .
    PAT<you want me to> [//] bring it to me .
  7. eng_USA_Bloom/peter09.cha, line 3903 · Peter, 2;2.13
    LOIother way # turn it this way # that's right # very good # turn the screw [= not the tire] # there .
    CHIthank you .
    LOI*LOI: you're welcome .
    CHItake that off .
    LOItake that off ?
  8. eng_USA_Bloom/peter09.cha, line 4353 · Peter, 2;2.13
    LOIhere # here it is .
    CHIthank you .
    LOI*LOI: you're welcome .
    CHIplease open that .
    LOIyou don't remember how to do it ?
  9. eng_USA_Bloom/peter09.cha, line 4398 · Peter, 2;2.13
    CHI0 [=! grunting] .
    CHIoh # thank you .
    PAT*PAT: you're welcome .
    CHIuh # I can't # put it on .
    LOIyou can't put it on ?
  10. eng_USA_Bloom/peter09.cha, line 5181 · Peter, 2;2.13
    PATok # there .
    CHIthank you .
    PAT*PAT: you're welcome .
    CHIthank you # thank you # you doing .
    LOIoh # ok # thank you # I'm gonna fold it in half # ok # what're you gonna write ?
  11. eng_USA_Bloom/peter09.cha, line 5695 · Peter, 2;2.13
    CHIlet's get more paper # xxx get paper .
    CHIthank you .
    LOI*LOI: you're welcome .
    CHIyou tore my paper # Jenny !
    PATyes she did # say # I'm sorry .
  12. eng_USA_Bloom/peter09.cha, line 5795 · Peter, 2;2.13
    CHIthis one's dirty # right # where's the p(en) ?
    CHIthank you .
    PAT*PAT: you're welcome .
    CHIxxx .
    CHIoff on tv .
  13. eng_USA_Bloom/peter09.cha, line 7053 · Peter, 2;2.13
    PAThere we go .
    CHIthank you .
    PAT*PAT: you're welcome .
    CHIxxx .
    CHIthis is my b(a)loney # xxx # where ya going .

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. Peter eng_USA_Bloom1.75
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Bloom/peter09.chaPeter 2;2.137,44613131.75

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. welcome13 · 100.0%