PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

2.75 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. what have you been talkin(g) about ? FAT · eng_USA_Brown/sarah018.cha, line 62
  3. how about countin(g) . FAT · eng_USA_Brown/sarah018.cha, line 123
  4. tell Daddy about it . MOT · eng_USA_Brown/sarah018.cha, line 1412
  5. what're you laughin(g) about ? FAT · eng_USA_Brown/sarah018.cha, line 1652
  6. read the one about the babies . MOT · eng_USA_Brown/sarah018.cha, line 2149
  1. SARxx have one ?
    MOTno # Daddy has Mumma's .
    FAT*FAT: what do we talk about ?
    MOT0 [=! laughs] .
    SARxx my on .
  2. SARmike .
    SARa me one too .
    FAT*FAT: what have you been talkin(g) about ?
    MOTxx .
    FATcome on # get down or you'll fall .
  3. SAR0 [=! exclaims with an in and out breath] .
    FATc(o)me (h)ere .
    FAT*FAT: how about countin(g) .
    FAThow many fingers have I got ?
    SARone .
  4. SARMommy .
    SARMommy .
    MOT*MOT: tell Daddy about it .
    SARhelp # dere .
    SARhelp dere .
  5. FATlook at the long ears .
    SAR0 [=! laughs] .
    FAT*FAT: what're you laughin(g) about ?
    SARxx ears .
    FAThas your bunny got long ears ?
  6. FAToh # here's a book .
    FAToh # I don't like him .
    MOT*MOT: read the one about the babies .
    SARright here .

Matches by child

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

  1. Sarah eng_USA_Brown2.75
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah018.chaSarah 2,180662.75

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. about6 · 100.0%