PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

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

  1. yeah # he's got legs . MOT · eng_USA_Brown/sarah027.cha, line 398 · Sarah 2;09
  2. what have you got there ? GLO · eng_USA_Brown/sarah027.cha, line 495 · Sarah 2;09
  3. <tell her> [//] oh # we got your new shoes yesterday but they were too small . MOT · eng_USA_Brown/sarah027.cha, line 530 · Sarah 2;09
  4. and what is that you've got ? GLO · eng_USA_Brown/sarah027.cha, line 973 · Sarah 2;09
  5. <tell them all about> [//] <how'd> [/] <how'd> [//] tell them how you got your cut . MOT · eng_USA_Brown/sarah027.cha, line 1096 · Sarah 2;09
  6. who got chocolate all over Mummy's face ? GLO · eng_USA_Brown/sarah027.cha, line 1208 · Sarah 2;09
  1. eng_USA_Brown/sarah027.cha, line 398 · Sarah, 2;9.
    CHIfour [<] .
    CHIxxx legs .
    MOT*MOT: yeah # he's got legs .
    CHIyes !
    GLOdoes he have nails ?
  2. eng_USA_Brown/sarah027.cha, line 495 · Sarah, 2;9.
    MOTwww .
    CHI0 .
    GLO*GLO: what have you got there ?
    CHIcandy bar .
    GLOcandy bar .
  3. eng_USA_Brown/sarah027.cha, line 530 · Sarah, 2;9.
    GLOheel +/.
    CHIxxx .
    MOT*MOT: <tell her> [//] oh # we got your new shoes yesterday but they were too small .
    CHItoo small .
    MOTyeah # they're new ones .
  4. eng_USA_Brown/sarah027.cha, line 973 · Sarah, 2;9.
    MOTit's over there .
    GLOoh # is that your little hat box ?
    GLO*GLO: and what is that you've got ?
    CHImy pow(der)+puff .
    GLOit's your powder puff # and what else ?
  5. eng_USA_Brown/sarah027.cha, line 1096 · Sarah, 2;9.
    GLOwhat did he say to you ?
    CHIhe know me xxx .
    MOT*MOT: <tell them all about> [//] <how'd> [/] <how'd> [//] tell them how you got your cut .
    CHIsee # I got my cut .
    MOThow'd you do it ?
  6. eng_USA_Brown/sarah027.cha, line 1208 · Sarah, 2;9.
    MOTwho told you how to do that ?
    CHIme .
    GLO*GLO: who got chocolate all over Mummy's face ?
    CHIme .
    GLOhow ?

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_Brown4.82
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah027.chaSarah 2;9.1,245664.82

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. got6 · 100.0%