PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

2.60 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (420 utterances, 1,921 words searched).

  1. she's gonna be real good . MOT · eng_USA_Brown/sarah060.cha, line 173 · Sarah 3;05
  2. she's really confused . MOT · eng_USA_Brown/sarah060.cha, line 435 · Sarah 3;05
  3. she's in a state of confusion . MOT · eng_USA_Brown/sarah060.cha, line 486 · Sarah 3;05
  4. she's right here . MOT · eng_USA_Brown/sarah060.cha, line 1020 · Sarah 3;05
  5. she's right here . MOT · eng_USA_Brown/sarah060.cha, line 1026 · Sarah 3;05
  1. CHIouch .
    CHIum .
    MOT*MOT: she's gonna be real good .
    MOTuhhuh .
    CHInope .
  2. MOTwhat's Auntie got on ?
    MOTBermuda shorts !
    MOT*MOT: she's really confused .
    MOTsee Auntie ?
    MOThmm ?
  3. CHIdon't know .
    MOTI don't know either .
    MOT*MOT: she's in a state of confusion .
    MOTwhat're ya doin(g) ?
    CHI0 .
  4. MOThuh ?
    MOTit's Nana .
    MOT*MOT: she's right here .
    GRA0 .
    MOTit's Nana .
  5. GRA0 .
    MOTit's Nana .
    MOT*MOT: she's right here .
    MOTyeah # there is somethin(g) I wanted .
    MOThi # how are you ?

Matches by age

One dot per transcript: matches per 1,000 words of everyone but CHI. Dots of the same child are joined.

Matches by child

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

  1. Sarah eng_USA_Brown2.60
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah060.chaSarah 3;5.011,921552.60

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. she's5 · 100.0%