PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

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

  1. a bunny . SAR · eng_USA_Brown/sarah002.cha, line 492
  2. a bunny . SAR · eng_USA_Brown/sarah002.cha, line 496
  3. that's not a bunny . MOT · eng_USA_Brown/sarah002.cha, line 498
  4. a bunny . SAR · eng_USA_Brown/sarah002.cha, line 502
  5. a bunny dere # dere . SAR · eng_USA_Brown/sarah002.cha, line 506
  6. it's not a bunny . MOT · eng_USA_Brown/sarah002.cha, line 508
  1. eng_USA_Brown/sarah002.cha, line 492
    MOTtable .
    MOToh # who's this ?
    SAR*SAR: a bunny .
    MOThmm ?
    SARa bunny .
  2. eng_USA_Brown/sarah002.cha, line 496
    SARa bunny .
    MOThmm ?
    SAR*SAR: a bunny .
    MOTthat's not a bunny .
    MOTthat's who .
  3. eng_USA_Brown/sarah002.cha, line 498
    MOThmm ?
    SARa bunny .
    MOT*MOT: that's not a bunny .
    MOTthat's who .
    SARa bunny .
  4. eng_USA_Brown/sarah002.cha, line 502
    MOTthat's not a bunny .
    MOTthat's who .
    SAR*SAR: a bunny .
    MOTno .
    SARa bunny dere # dere .
  5. eng_USA_Brown/sarah002.cha, line 506
    SARa bunny .
    MOTno .
    SAR*SAR: a bunny dere # dere .
    MOTit's not a bunny .
    MOTit's your teddy+bear .
  6. eng_USA_Brown/sarah002.cha, line 508
    MOTno .
    SARa bunny dere # dere .
    MOT*MOT: it's not a bunny .
    MOTit's your teddy+bear .
    SARteddy+bear bear ?

Matches by child

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

  1. Sarah eng_USA_Brown4.71
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah002.chaSarah 1,273664.71

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. bunny6 · 100.0%