PHPCLANCHILDES with regular expressions

9 matches in 9 utterances

4.13 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (939 utterances, 2,180 words searched).

  1. where's my money ? FAT · eng_USA_Brown/sarah018.cha, line 634
  2. where's the milk ? FAT · eng_USA_Brown/sarah018.cha, line 783
  3. where's the store ? FAT · eng_USA_Brown/sarah018.cha, line 812
  4. and where's the turtle swim ? FAT · eng_USA_Brown/sarah018.cha, line 1315
  5. now where's this baby's clothes ? FAT · eng_USA_Brown/sarah018.cha, line 1564
  6. where's no pants ? FAT · eng_USA_Brown/sarah018.cha, line 1733
  7. where's his eyes ? FAT · eng_USA_Brown/sarah018.cha, line 1917
  8. where's the fire+engine ? FAT · eng_USA_Brown/sarah018.cha, line 2048
  9. hey # where's all your books ? FAT · eng_USA_Brown/sarah018.cha, line 2134
  1. FATwell # where do I keep my money ?
    SARI know .
    FAT*FAT: where's my money ?
    SARright here .
    FAThere .
  2. SARbread .
    FATthank you .
    FAT*FAT: where's the milk ?
    SARgoes back down the hall and returns, hands an imaginary package to Father .
    FATthank you .
  3. MOTyou're not supposed to xx .
    FATxx .
    FAT*FAT: where's the store ?
    SARhere mo(n)ey .
    FAThere .
  4. FATturtle .
    SARtur(t)le .
    FAT*FAT: and where's the turtle swim ?
    SARswim bath .
    FATin the water .
  5. SARbaby .
    SARyour baby .
    FAT*FAT: now where's this baby's clothes ?
    SARyy .
    FATthat baby's cold .
  6. SARbaby .
    SARxx no pants .
    FAT*FAT: where's no pants ?
    SARno pants .
    SARno &p +/.
  7. FATwhy ?
    SARxx Michael ?
    FAT*FAT: where's his eyes ?
    SARno know .
    FAThow can he see ?
  8. FATwhat are you throwin(g) then all on the floor for ?
    FATyou want Courtney to fall down ?
    FAT*FAT: where's the fire+engine ?
    SARright here .
    MOTwhere is it ?
  9. SARmy books .
    SARI go xx .
    FAT*FAT: hey # where's all your books ?
    SARoh yy .
    MOTyou know what she was sayin(g) ?

Matches by child

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

  1. Sarah eng_USA_Brown4.13
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah018.chaSarah 2,180994.13

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. where's9 · 100.0%