PHPCLANCHILDES with regular expressions

7 matches in 5 utterances

3.79 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (389 utterances, 1,846 words searched).

  1. Paul was watching and his head was going up and down . MOT · eng_USA_Brown/adam42.cha, line 151 · Adam 4;00
  2. Paul was watching and his head was going up and down . MOT · eng_USA_Brown/adam42.cha, line 151 · Adam 4;00
  3. that was long ago . MOT · eng_USA_Brown/adam42.cha, line 467 · Adam 4;00
  4. I guess he was just measuring the string to see how long it was . MOT · eng_USA_Brown/adam42.cha, line 825 · Adam 4;00
  5. I guess he was just measuring the string to see how long it was . MOT · eng_USA_Brown/adam42.cha, line 825 · Adam 4;00
  6. that was an accident . MOT · eng_USA_Brown/adam42.cha, line 2150 · Adam 4;00
  7. I was talking to Paul just then . MOT · eng_USA_Brown/adam42.cha, line 2202 · Adam 4;00
  1. eng_USA_Brown/adam42.cha, line 151 · Adam, 4;0.14
    CHIand den [: then] what you do now ?
    CHIwhat you do ?
    MOT*MOT: Paul was watching and his head was going up and down .
    CHIno # don't tie it .
    MOTwhen you get it down you have to jerk it a little so it will come back up .
  2. eng_USA_Brown/adam42.cha, line 467 · Adam, 4;0.14
    CHII found dis # a racing car .
    CHIare abcs down in dere ?
    MOT*MOT: that was long ago .
    CHIit's dere .
    CHIhow goin(g) take dose abcs down dere ?
  3. eng_USA_Brown/adam42.cha, line 825 · Adam, 4;0.14
    MOTyes .
    CHIhe thinks you cut it off and den [: then] you tie it back on ?
    MOT*MOT: I guess he was just measuring the string to see how long it was .
    CHIMommy # I just don't want nothing in dere .
    CHInothing in dere .
  4. eng_USA_Brown/adam42.cha, line 2150 · Adam, 4;0.14
    CHIdon't cry don't cry .
    CHI# let you in .
    MOT*MOT: that was an accident .
    MOThoney .
    CHIno # dat's my car .
  5. eng_USA_Brown/adam42.cha, line 2202 · Adam, 4;0.14
    CHIMommy # is Paul +...
    CHIwere you talking to Paul or me ?
    MOT*MOT: I was talking to Paul just then .
    MOTbut I'm talking to you right now .
    MOTwhat're you doing ?

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. Adam eng_USA_Brown3.79
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/adam42.chaAdam 4;0.141,846573.79

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. was7 · 100.0%