PHPCLANCHILDES with regular expressions

8 matches in 8 utterances

6.43 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (303 utterances, 1,245 words searched).

  1. he went to Harvard # did she say ? MOT · eng_USA_Brown/sarah027.cha, line 357 · Sarah 2;09
  2. what's that say ? MOT · eng_USA_Brown/sarah027.cha, line 375 · Sarah 2;09
  3. what does that say ? GLO · eng_USA_Brown/sarah027.cha, line 381 · Sarah 2;09
  4. whyn't [: why don't] you say your piece for Gloria . MOT · eng_USA_Brown/sarah027.cha, line 539 · Sarah 2;09
  5. Gloria hasn't heard you say your piece . MOT · eng_USA_Brown/sarah027.cha, line 542 · Sarah 2;09
  6. alright # you say it nice . MOT · eng_USA_Brown/sarah027.cha, line 558 · Sarah 2;09
  7. what does that say # Sarah ? GLO · eng_USA_Brown/sarah027.cha, line 1067 · Sarah 2;09
  8. what did he say to you ? GLO · eng_USA_Brown/sarah027.cha, line 1092 · Sarah 2;09
  1. eng_USA_Brown/sarah027.cha, line 357 · Sarah, 2;9.
    CHIha .
    MOTto work !
    MOT*MOT: he went to Harvard # did she say ?
    CHIto work # huh .
    GLOSarah # what do you have on your feet ?
  2. eng_USA_Brown/sarah027.cha, line 375 · Sarah, 2;9.
    GLOno # tell me # honey # tell me .
    CHIxxx honey .
    MOT*MOT: what's that say ?
    CHIPutnam_Avenue .
    GLOwhat does that say ?
  3. eng_USA_Brown/sarah027.cha, line 381 · Sarah, 2;9.
    MOTwhat's that say ?
    CHIPutnam_Avenue .
    GLO*GLO: what does that say ?
    CHIPutnam_Avenue .
    MOTwhat number ?
  4. eng_USA_Brown/sarah027.cha, line 539 · Sarah, 2;9.
    MOTyeah # they're new ones .
    MOTyour ballet shoes .
    MOT*MOT: whyn't [: why don't] you say your piece for Gloria .
    MOTGloria hasn't heard you say your piece .
    MOTSarah +/.
  5. eng_USA_Brown/sarah027.cha, line 542 · Sarah, 2;9.
    MOTyour ballet shoes .
    MOTwhyn't [: why don't] you say your piece for Gloria .
    MOT*MOT: Gloria hasn't heard you say your piece .
    MOTSarah +/.
    CHIpiece .
  6. eng_USA_Brown/sarah027.cha, line 558 · Sarah, 2;9.
    CHIall de world .
    MOTlet me hold that and you do it .
    MOT*MOT: alright # you say it nice .
    MOTSarah Barnes +...
    CHIall +/.
  7. eng_USA_Brown/sarah027.cha, line 1067 · Sarah, 2;9.
    MOTbig line .
    GLOthat's very good .
    GLO*GLO: what does that say # Sarah ?
    CHIyyy .
    GLOSarah # what happened to you yesterday ?
  8. eng_USA_Brown/sarah027.cha, line 1092 · Sarah, 2;9.
    CHI0 .
    GLOyes ?
    GLO*GLO: what did he say to you ?
    CHIhe know me xxx .
    MOT<tell them all about> [//] <how'd> [/] <how'd> [//] tell them how you got your cut .

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_Brown6.43
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah027.chaSarah 2;9.1,245886.43

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. say8 · 100.0%