PHPCLANCHILDES with regular expressions

8 matches in 8 utterances

4.24 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (416 utterances, 1,889 words searched).

  1. mmhm . FAT · eng_USA_Brown/sarah099.cha, line 629 · Sarah 4;03
  2. mmhm . GAI · eng_USA_Brown/sarah099.cha, line 691 · Sarah 4;03
  3. mmhm . GAI · eng_USA_Brown/sarah099.cha, line 1017 · Sarah 4;03
  4. mmhm # very nice . MOT · eng_USA_Brown/sarah099.cha, line 1091 · Sarah 4;03
  5. mmhm . MEL · eng_USA_Brown/sarah099.cha, line 1335 · Sarah 4;03
  6. mmhm . GAI · eng_USA_Brown/sarah099.cha, line 1383 · Sarah 4;03
  7. mmhm . GAI · eng_USA_Brown/sarah099.cha, line 1578 · Sarah 4;03
  8. mmhm # very nice . MOT · eng_USA_Brown/sarah099.cha, line 1650 · Sarah 4;03
  1. MOToh it can't be running .
    CHIhey Daddy ya fixed dat .
    FAT*FAT: mmhm .
    GAIwhat d(o) ya use that for # Sarah ?
    CHIfor goin(g) out and see somebody's out there .
  2. MOTnow give it to me now and I'll put it away for tomorrow .
    MOTcute # huh ?
    GAI*GAI: mmhm .
    CHIis a light xxx huh ?
    MOTit's a light +...
  3. CHIthat's a criss+cross .
    MOTthat's a criss+cross .
    GAI*GAI: mmhm .
    CHIline down .
    CHIwhat is that now ?
  4. CHIthat's the chimney .
    CHIthat's a good lookin(g) house ?
    MOT*MOT: mmhm # very nice .
    CHIMommy # my hurt [?] .
    MOTChan(tilly) +...
  5. CHIeyes are like dis .
    CHIlike dat ?
    MEL*MEL: mmhm .
    CHIno sir .
    GAIno sir ?
  6. CHItwo big toes .
    CHIa big fat toe .
    GAI*GAI: mmhm .
    CHIa big fat +...
    CHIthat's his boo+boo # like mine .
  7. CHIthat's a criss+cross .
    MOTthat's a criss+cross .
    GAI*GAI: mmhm .
    CHIline down .
    CHIwhat is that now ?
  8. CHIthat's the chimney .
    CHIthat's a good lookin(g) house ?
    MOT*MOT: mmhm # very nice .
    CHIMommy # my bubble [?] hurts .
    CHIhelp !

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_Brown4.24
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah099.chaSarah 4;3.071,889884.24

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. mmhm8 · 100.0%