PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

3.08 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (375 utterances, 1,625 words searched).

  1. you're supposed to lick em ? ANN · eng_USA_Brown/sarah092.cha, line 139 · Sarah 4;01
  2. you're supposed to lick em ? ANN · eng_USA_Brown/sarah092.cha, line 145 · Sarah 4;01
  3. put em in a line # Ann_Marie . MOT · eng_USA_Brown/sarah092.cha, line 721 · Sarah 4;01
  4. I don't like em . MOT · eng_USA_Brown/sarah092.cha, line 795 · Sarah 4;01
  5. ok # you start gluing em in . MOT · eng_USA_Brown/sarah092.cha, line 806 · Sarah 4;01
  1. MOToh # I thought you said Nana had Pierre .
    ANNcan I do that ?
    ANN*ANN: you're supposed to lick em ?
    CHIxxx do .
    CHIhuh ?
  2. CHIxxx do .
    CHIhuh ?
    ANN*ANN: you're supposed to lick em ?
    CHIyeah .
    MOThow did you like school ?
  3. CHIMommy .
    MOTwhat ?
    MOT*MOT: put em in a line # Ann_Marie .
    MOTstraighten out the top .
    ANNxxx .
  4. MOTthere's fresh kids in +...
    MOTthere's fresh kids in +...
    MOT*MOT: I don't like em .
    CHIa boy # (a)n(d) a girl .
    MOThow're you doin(g) ?
  5. MOTyou want me to punch some out for you ?
    CHIyeah .
    MOT*MOT: ok # you start gluing em in .
    MOTglue that .
    ANNd(o) you want me to cut this one ?

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_Brown3.08
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah092.chaSarah 4;1.181,625553.08

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. em5 · 100.0%