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. be nice . MOT · eng_USA_Brown/sarah002.cha, line 27
  2. you taste it and see if it's not nice give it to me and Mummy'll drink it . MOT · eng_USA_Brown/sarah002.cha, line 130
  3. nice ? MOT · eng_USA_Brown/sarah002.cha, line 205
  4. nice doggy . SAR · eng_USA_Brown/sarah002.cha, line 779
  5. nice doggy . MOT · eng_USA_Brown/sarah002.cha, line 782
  6. isn't that nice ? MOT · eng_USA_Brown/sarah002.cha, line 873
  1. MOThere # <want a> [/] # want a glass of milk ?
    SARxx .
    MOT*MOT: be nice .
    SAR0 [=! whimpers] .
    MOTxx be a cry baby today .
  2. SAR0 [=! whimper] .
    MOTwell # it's the same thing .
    MOT*MOT: you taste it and see if it's not nice give it to me and Mummy'll drink it .
    MOTyou [?] want it ?
    SARhit .
  3. MOTshe's good # she's not bad .
    MOThmm ?
    MOT*MOT: nice ?
    SARboat .
    MOTboat # yes .
  4. MOTdoggy's xx .
    SARdoggy .
    SAR*SAR: nice doggy .
    MOTnice doggy .
    MOTyou're to love the doggy .
  5. SARdoggy .
    SARnice doggy .
    MOT*MOT: nice doggy .
    MOTyou're to love the doggy .
    SARyeah .
  6. SARxx .
    SARsee there # Mommy .
    MOT*MOT: isn't that nice ?
    SARxx .
    MOT0 .

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. nice6 · 100.0%