PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

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

  1. no # he didn't go to school # he went to where ? MOT · eng_USA_Brown/sarah027.cha, line 350 · Sarah 2;09
  2. no # tell me # honey # tell me . GLO · eng_USA_Brown/sarah027.cha, line 370 · Sarah 2;09
  3. no ? GLO · eng_USA_Brown/sarah027.cha, line 406 · Sarah 2;09
  4. no ? GLO · eng_USA_Brown/sarah027.cha, line 482 · Sarah 2;09
  5. no ! MOT · eng_USA_Brown/sarah027.cha, line 961 · Sarah 2;09
  6. no # how ? GLO · eng_USA_Brown/sarah027.cha, line 1248 · Sarah 2;09
  7. no # what did he do ? MOT · eng_USA_Brown/sarah027.cha, line 1277 · Sarah 2;09
  1. eng_USA_Brown/sarah027.cha, line 350 · Sarah, 2;9.
    MOThe's gone a what ?
    CHIyyy go .
    MOT*MOT: no # he didn't go to school # he went to where ?
    CHIha .
    MOTto work !
  2. eng_USA_Brown/sarah027.cha, line 370 · Sarah, 2;9.
    GLOtell me where your shoes are .
    CHI0 .
    GLO*GLO: no # tell me # honey # tell me .
    CHIxxx honey .
    MOTwhat's that say ?
  3. eng_USA_Brown/sarah027.cha, line 406 · Sarah, 2;9.
    GLOdoes he have nails ?
    CHI0 .
    GLO*GLO: no ?
    CHIxxx .
    MOTstop it !
  4. eng_USA_Brown/sarah027.cha, line 482 · Sarah, 2;9.
    MOTcan your Daddy swim ?
    CHI0 .
    GLO*GLO: no ?
    CHItoo big .
    MOToh # he's too big ?
  5. eng_USA_Brown/sarah027.cha, line 961 · Sarah, 2;9.
    MOTyou like dancin(g) school ?
    CHI0 .
    MOT*MOT: no !
    MOT<show Co(urtney)> [//] show Gloria how you powder your face .
    CHII get my .
  6. eng_USA_Brown/sarah027.cha, line 1248 · Sarah, 2;9.
    GLOhow did you go to the doctor ?
    CHI(be)cause .
    GLO*GLO: no # how ?
    GLOdid you ride to the doctor ?
    CHII saw doc(tor) .
  7. eng_USA_Brown/sarah027.cha, line 1277 · Sarah, 2;9.
    CHIhe hit my elbow .
    GLOhe hit your elbow !
    MOT*MOT: no # what did he do ?
    MOTwhat was the present ?
    CHIright here .

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_Brown5.62
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah027.chaSarah 2;9.1,245775.62

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. no7 · 100.0%