PHPCLANCHILDES with regular expressions

9 matches in 8 utterances

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

  1. what do we talk about ? FAT · eng_USA_Brown/sarah018.cha, line 33
  2. don't talk baby talk . MOT · eng_USA_Brown/sarah018.cha, line 71
  3. don't talk baby talk . MOT · eng_USA_Brown/sarah018.cha, line 71
  4. you wan(t) (t)a talk ? FAT · eng_USA_Brown/sarah018.cha, line 1432
  5. wan(t) talk . SAR · eng_USA_Brown/sarah018.cha, line 1434
  6. you talk ? SAR · eng_USA_Brown/sarah018.cha, line 1436
  7. talk to her . FAT · eng_USA_Brown/sarah018.cha, line 1524
  8. you still talkin(g) baby talk ? MOT · eng_USA_Brown/sarah018.cha, line 1534
  9. Sarah # talk right . MOT · eng_USA_Brown/sarah018.cha, line 2100
  1. eng_USA_Brown/sarah018.cha, line 33
    SARxx have one ?
    MOTno # Daddy has Mumma's .
    FAT*FAT: what do we talk about ?
    MOT0 [=! laughs] .
    SARxx my on .
  2. eng_USA_Brown/sarah018.cha, line 71
    FATcome on # get down or you'll fall .
    SARxx .
    MOT*MOT: don't talk baby talk .
    SARxx .
    MOTSarah .
  3. eng_USA_Brown/sarah018.cha, line 1432
    FATthis the telephone ?
    SARxx phone .
    FAT*FAT: you wan(t) (t)a talk ?
    SARwan(t) talk .
    SARyou talk ?
  4. eng_USA_Brown/sarah018.cha, line 1434
    SARxx phone .
    FATyou wan(t) (t)a talk ?
    SAR*SAR: wan(t) talk .
    SARyou talk ?
    FAThmm ?
  5. eng_USA_Brown/sarah018.cha, line 1436
    FATyou wan(t) (t)a talk ?
    SARwan(t) talk .
    SAR*SAR: you talk ?
    FAThmm ?
    SARxx .
  6. eng_USA_Brown/sarah018.cha, line 1524
    SARice+cream !
    FATshe can't hear you .
    FAT*FAT: talk to her .
    SARice+cream .
    FATice+cream .
  7. eng_USA_Brown/sarah018.cha, line 1534
    SARice+cream .
    FATice .
    MOT*MOT: you still talkin(g) baby talk ?
    SARice+cream .
    FATice ice .
  8. eng_USA_Brown/sarah018.cha, line 2100
    FATwhere ?
    SARyy .
    MOT*MOT: Sarah # talk right .
    FATxx .
    SARSarah yy .

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 2,180894.13

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. talk9 · 100.0%