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. tell me again # honey # where . MOT · eng_USA_Brown/sarah027.cha, line 332 · Sarah 2;09
  2. no # tell me # honey # tell me . GLO · eng_USA_Brown/sarah027.cha, line 370 · Sarah 2;09
  3. what are you doing # honey ? GLO · eng_USA_Brown/sarah027.cha, line 715 · Sarah 2;09
  4. what's Mummy doing now # honey ? GLO · eng_USA_Brown/sarah027.cha, line 735 · Sarah 2;09
  5. ok # what are you doing now # honey ? MOT · eng_USA_Brown/sarah027.cha, line 997 · Sarah 2;09
  6. what # honey ? GLO · eng_USA_Brown/sarah027.cha, line 1167 · Sarah 2;09
  1. eng_USA_Brown/sarah027.cha, line 332 · Sarah, 2;9.
    CHIdere .
    CHIover dere .
    MOT*MOT: tell me again # honey # where .
    CHIover dere .
    GLOover dat dere .
  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 715 · Sarah, 2;9.
    GLOwhat ?
    CHImy candy+bar .
    GLO*GLO: what are you doing # honey ?
    CHIum .
    GLOtell me again .
  4. eng_USA_Brown/sarah027.cha, line 735 · Sarah, 2;9.
    GLOwhat did you do ?
    CHII went shoo [?] xxx dere .
    GLO*GLO: what's Mummy doing now # honey ?
    MOTwhat am I doing ?
    MOTwhat's this ?
  5. eng_USA_Brown/sarah027.cha, line 997 · Sarah, 2;9.
    CHIyyy .
    MOTyeah # your mirror .
    MOT*MOT: ok # what are you doing now # honey ?
    MOTwhat do you do with your powder+puff ?
    CHIput my pow(der) +...
  6. eng_USA_Brown/sarah027.cha, line 1167 · Sarah, 2;9.
    COUwhat'd he do to your boo+boo ?
    CHIxxx .
    GLO*GLO: what # honey ?
    CHIxxx .
    GLOthat's very good .

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. honey6 · 100.0%