PHPCLANCHILDES with regular expressions

11 matches in 11 utterances

7.00 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (425 utterances, 1,572 words searched).

  1. does that look like a nitch@t ? MOT · eng_USA_Brown/sarah056.cha, line 164 · Sarah 3;04
  2. does this look like a nitch@t ? MOT · eng_USA_Brown/sarah056.cha, line 166 · Sarah 3;04
  3. look what happened . MOT · eng_USA_Brown/sarah056.cha, line 269 · Sarah 3;04
  4. look around +... GLO · eng_USA_Brown/sarah056.cha, line 568 · Sarah 3;04
  5. well # let's look and see if we can find . GLO · eng_USA_Brown/sarah056.cha, line 606 · Sarah 3;04
  6. you look and see if you can find it . MOT · eng_USA_Brown/sarah056.cha, line 617 · Sarah 3;04
  7. what does it look like that way ? MOT · eng_USA_Brown/sarah056.cha, line 643 · Sarah 3;04
  8. look at that . MOT · eng_USA_Brown/sarah056.cha, line 1257 · Sarah 3;04
  9. look at that . GLO · eng_USA_Brown/sarah056.cha, line 1268 · Sarah 3;04
  10. Sarah # look listen to Gloria +... MOT · eng_USA_Brown/sarah056.cha, line 1464 · Sarah 3;04
  11. look at all the letters ya got on that game # huh ? GLO · eng_USA_Brown/sarah056.cha, line 1593 · Sarah 3;04
  1. eng_USA_Brown/sarah056.cha, line 164 · Sarah, 3;4.01
    MOTlet's make a nitch@t .
    MOTthere's that .
    MOT*MOT: does that look like a nitch@t ?
    MOTdoes this look like a nitch@t ?
    CHIno .
  2. eng_USA_Brown/sarah056.cha, line 166 · Sarah, 3;4.01
    MOTthere's that .
    MOTdoes that look like a nitch@t ?
    MOT*MOT: does this look like a nitch@t ?
    CHIno .
    CHIthat's a tree .
  3. eng_USA_Brown/sarah056.cha, line 269 · Sarah, 3;4.01
    MOTxxx out there .
    MOTuhoh .
    MOT*MOT: look what happened .
    CHI0 .
    MOT0 .
  4. eng_USA_Brown/sarah056.cha, line 568 · Sarah, 3;4.01
    MOT<f@l> [/] f@l are ya missin(g) the f@l ?
    GLOdo you have an f@l ?
    GLO*GLO: look around +...
    MOTyes +...
    GLOdo you see an f@l ?
  5. eng_USA_Brown/sarah056.cha, line 606 · Sarah, 3;4.01
    CHIright there .
    GLOwhich one # honey ?
    GLO*GLO: well # let's look and see if we can find .
    MOTput that down .
    GLOxxx .
  6. eng_USA_Brown/sarah056.cha, line 617 · Sarah, 3;4.01
    MOToh # it is here # huh .
    CHIm@l # she n@l ge(t) one o(f) these .
    MOT*MOT: you look and see if you can find it .
    CHIthis one # a e@l .
    CHIthat's a k@l .
  7. eng_USA_Brown/sarah056.cha, line 643 · Sarah, 3;4.01
    CHIthis way .
    MOTok .
    MOT*MOT: what does it look like that way ?
    CHIa e@l .
    MOTshe knows which way they go .
  8. eng_USA_Brown/sarah056.cha, line 1257 · Sarah, 3;4.01
    GLOwhat's on the back ?
    MOToh .
    MOT*MOT: look at that .
    MOTwhat's the boy playing with ?
    CHIa house .
  9. eng_USA_Brown/sarah056.cha, line 1268 · Sarah, 3;4.01
    GLOxxx .
    CHIa <bi(g) bi(g)> [/] big house .
    GLO*GLO: look at that .
    GLOwhat do we have here ?
    CHIan yyy bomb .
  10. eng_USA_Brown/sarah056.cha, line 1464 · Sarah, 3;4.01
    GLOcan you say what I say ?
    GLOthese are words you know .
    MOT*MOT: Sarah # look listen to Gloria +...
    GLObaby +...
    MOTcome up here .
  11. eng_USA_Brown/sarah056.cha, line 1593 · Sarah, 3;4.01
    GLOyou get a seven for that .
    GLOthat was very good .
    GLO*GLO: look at all the letters ya got on that game # huh ?
    CHIyeah # I did them all .
    GLOyes # you did them all .

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_Brown7.00
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah056.chaSarah 3;4.011,57211117.00

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. look11 · 100.0%