PHPCLANCHILDES with regular expressions

10 matches in 9 utterances

6.10 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (325 utterances, 1,639 words searched).

  1. how do they do it ? MEL · eng_USA_Brown/sarah117.cha, line 58 · Sarah 4;07
  2. oh # they cut it out of the metal . MEL · eng_USA_Brown/sarah117.cha, line 62 · Sarah 4;07
  3. she was trying but she said she had to wash her feet (be)cause they were were sweating . MEL · eng_USA_Brown/sarah117.cha, line 239 · Sarah 4;07
  4. they were more important than her hands . MEL · eng_USA_Brown/sarah117.cha, line 243 · Sarah 4;07
  5. they must've been takin(g) cups out o(f) here # I don't know # and the sau… MOT · eng_USA_Brown/sarah117.cha, line 965 · Sarah 4;07
  6. and I didn't know <they were> [//] # y(ou) know # that they were there . MOT · eng_USA_Brown/sarah117.cha, line 972 · Sarah 4;07
  7. and I didn't know <they were> [//] # y(ou) know # that they were there . MOT · eng_USA_Brown/sarah117.cha, line 972 · Sarah 4;07
  8. I hate it when you sit down and they go up to here . MOT · eng_USA_Brown/sarah117.cha, line 1148 · Sarah 4;07
  9. they must've been in there an hour . MOT · eng_USA_Brown/sarah117.cha, line 1224 · Sarah 4;07
  10. they were all burnt (a)n(d) ugh . MOT · eng_USA_Brown/sarah117.cha, line 1230 · Sarah 4;07
  1. eng_USA_Brown/sarah117.cha, line 58 · Sarah, 4;7.11
    MELyou asked what his name was before and I told you it was on here .
    CHIwhat [?] they do that ?
    MEL*MEL: how do they do it ?
    CHIyeah .
    MELoh # they cut it out of the metal .
  2. eng_USA_Brown/sarah117.cha, line 62 · Sarah, 4;7.11
    MELhow do they do it ?
    CHIyeah .
    MEL*MEL: oh # they cut it out of the metal .
    CHIbut how the names get on it ?
    MELhow ?
  3. eng_USA_Brown/sarah117.cha, line 239 · Sarah, 4;7.11
    MOTwant (t)a have some milk (a)n(d) +...
    MOTgo wash your hands .
    MEL*MEL: she was trying but she said she had to wash her feet (be)cause they were were sweating .
    MELthey were more important than her hands .
    MOTc(o)me (h)ere .
  4. eng_USA_Brown/sarah117.cha, line 243 · Sarah, 4;7.11
    MOTgo wash your hands .
    MELshe was trying but she said she had to wash her feet (be)cause they were were sweating .
    MEL*MEL: they were more important than her hands .
    MOTc(o)me (h)ere .
    CHIwhat # no Bosco ?
  5. eng_USA_Brown/sarah117.cha, line 965 · Sarah, 4;7.11
    MOTlast week I only had xxx .
    MOTthe night of Donny's party somebody must have taken the saucers .
    MOT*MOT: they must've been takin(g) cups out o(f) here # I don't know # and the saucers .
    MOT(a)n(d) puttin(g) em way over here # down (a)n(d) behind ?
    MOTand I didn't know <they were> [//] # y(ou) know # that they were there .
  6. eng_USA_Brown/sarah117.cha, line 972 · Sarah, 4;7.11
    MOTthey must've been takin(g) cups out o(f) here # I don't know # and the saucers .
    MOT(a)n(d) puttin(g) em way over here # down (a)n(d) behind ?
    MOT*MOT: and I didn't know <they were> [//] # y(ou) know # that they were there .
    MOTI kept saying # seemed like every time I went to that cabinet # y(ou) know # it was gettin(g) less (a)n(d) less dishes .
    MOTthen finally the other day I found them .
  7. eng_USA_Brown/sarah117.cha, line 1148 · Sarah, 4;7.11
    MOTno # it's not the waist .
    MOTit's just that I don't like em that that short .
    MOT*MOT: I hate it when you sit down and they go up to here .
    MELyeah .
    MOTy(ou) know ?
  8. eng_USA_Brown/sarah117.cha, line 1224 · Sarah, 4;7.11
    MOTthe bakin(g) oven ?
    MOT(a)n(d) she went around playin(g) house (a)n(d) I was talkin(g) .
    MOT*MOT: they must've been in there an hour .
    MOT(a)n(d) I was gettin(g) kind o(f) smoky # but y(ou) know .
    MOTthey were all burnt (a)n(d) ugh .
  9. eng_USA_Brown/sarah117.cha, line 1230 · Sarah, 4;7.11
    MOTthey must've been in there an hour .
    MOT(a)n(d) I was gettin(g) kind o(f) smoky # but y(ou) know .
    MOT*MOT: they were all burnt (a)n(d) ugh .
    CHIyeah # and we had a throw it away .
    CHIoh where's my o:h o:h o:h o:h ?

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. Sarah eng_USA_Brown6.10
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah117.chaSarah 4;7.111,6399106.10

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. they10 · 100.0%