PHPCLANCHILDES with regular expressions

4 matches in 4 utterances

11.02 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (98 utterances, 363 words searched).

  1. people in the car ? MOT · eng_USA_Bates/betty20.cha, line 66 · Betty 1;08
  2. want to put a person in this chair ? MOT · eng_USA_Bates/betty20.cha, line 137 · Betty 1;08
  3. wan(t) (t)a put another person in the chair ? MOT · eng_USA_Bates/betty20.cha, line 158 · Betty 1;08
  4. want to put this one in the chair ? MOT · eng_USA_Bates/betty20.cha, line 220 · Betty 1;08
  1. eng_USA_Bates/betty20.cha, line 66 · Betty, 1;8.
    MOTwant to put the car to bed ?
    CHIuh !
    MOT*MOT: people in the car ?
    MOTare they gon (t)a go bye+bye ?
    MOTare the people gon (t)a go bye+bye ?
  2. eng_USA_Bates/betty20.cha, line 137 · Betty, 1;8.
    CHI0 .
    MOToh # look at this chair .
    MOT*MOT: want to put a person in this chair ?
    MOThmm ?
    CHIchick !
  3. eng_USA_Bates/betty20.cha, line 158 · Betty, 1;8.
    MOTchicken .
    MOToh # here's a chair .
    MOT*MOT: wan(t) (t)a put another person in the chair ?
    CHI0 .
    MOTvery good .
  4. eng_USA_Bates/betty20.cha, line 220 · Betty, 1;8.
    MOTo:h # nightie+nightie !
    CHI0 .
    MOT*MOT: want to put this one in the chair ?
    MOThmm ?
    MOTlook at this .

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. Betty eng_USA_Bates11.02
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Bates/betty20.chaBetty 1;8.3634411.02

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. in4 · 100.0%