PHPCLANCHILDES with regular expressions

5 matches in 4 utterances

3.93 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (621 utterances, 1,273 words searched).

  1. do you want tonnie [= tonic] ? MOT · eng_USA_Brown/sarah002.cha, line 32
  2. you don't know what that is # do you . MOT · eng_USA_Brown/sarah002.cha, line 522
  3. <do(ggy)> [/] <do(ggy)> [/] doggy . SAR · eng_USA_Brown/sarah002.cha, line 770
  4. <do(ggy)> [/] <do(ggy)> [/] doggy . SAR · eng_USA_Brown/sarah002.cha, line 770
  5. what do you want a bag for ? MOT · eng_USA_Brown/sarah002.cha, line 1320
  1. eng_USA_Brown/sarah002.cha, line 32
    SAR0 [=! whimpers] .
    MOTxx be a cry baby today .
    MOT*MOT: do you want tonnie [= tonic] ?
    MOThmm ?
    MOTok # Mummy drink tonnie [= tonic] .
  2. eng_USA_Brown/sarah002.cha, line 522
    SARxx .
    MOTno .
    MOT*MOT: you don't know what that is # do you .
    MOTthat's the Christmas tree .
    SARChristmas tree ?
  3. eng_USA_Brown/sarah002.cha, line 770
    MOTwhat's that ?
    MOTdoggy's what ?
    SAR*SAR: <do(ggy)> [/] <do(ggy)> [/] doggy .
    MOTdoggy's what ?
    MOTdoggy's xx .
  4. eng_USA_Brown/sarah002.cha, line 1320
    SARwant bag .
    SARwant bag .
    MOT*MOT: what do you want a bag for ?
    SARI wanna bag .
    MOTno # it's not yours # don't touch it .

Matches by child

Matches per 1,000 words, all transcripts of each child together, highest first.

  1. Sarah eng_USA_Brown3.93
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah002.chaSarah 1,273453.93

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. do5 · 100.0%