PHPCLANCHILDES with regular expressions

8 matches in 8 utterances

6.96 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (315 utterances, 1,149 words searched).

  1. like this # that's a four . MOT · eng_USA_Brown/sarah028.cha, line 18 · Sarah 2;09
  2. you like kittys and doggies ? MOT · eng_USA_Brown/sarah028.cha, line 167 · Sarah 2;09
  3. you like Teppy ? MOT · eng_USA_Brown/sarah028.cha, line 175 · Sarah 2;09
  4. would you like that ? MOT · eng_USA_Brown/sarah028.cha, line 358 · Sarah 2;09
  5. I don't like him ? MOT · eng_USA_Brown/sarah028.cha, line 717 · Sarah 2;09
  6. xxx don't like my clown ? MOT · eng_USA_Brown/sarah028.cha, line 738 · Sarah 2;09
  7. would you like some ice+cream ? MOT · eng_USA_Brown/sarah028.cha, line 1255 · Sarah 2;09
  8. what does that taste like ? GLO · eng_USA_Brown/sarah028.cha, line 1408 · Sarah 2;09
  1. CHIyou make four .
    MOTmake a four ?
    MOT*MOT: like this # that's a four .
    MOTthere # see # watch .
    MOTdown # and this way # and that way .
  2. CHIyes !
    CHIdat kitty .
    MOT*MOT: you like kittys and doggies ?
    CHI0 .
    MOThuh ?
  3. MOThuh ?
    CHII like Teppy .
    MOT*MOT: you like Teppy ?
    MOTwhat's Auntie_Marilyn's kitty's name ?
    CHITammy .
  4. MOTand we'll buy pencils too .
    CHItoo ?
    MOT*MOT: would you like that ?
    CHII like dat .
    CHIxxx .
  5. MOTwhy ?
    CHII don't like him .
    MOT*MOT: I don't like him ?
    MOTdon't you think he's a nice little clown ?
    CHIput down .
  6. MOTyou mean erase him ?
    CHI0 .
    MOT*MOT: xxx don't like my clown ?
    MOTok ?
    CHIall gone .
  7. MOTyes # you will .
    CHIdish .
    MOT*MOT: would you like some ice+cream ?
    CHIyes .
    CHII want ice+cream .
  8. COUwhat are you doing !
    CHI0 .
    GLO*GLO: what does that taste like ?
    GLOSarah +/.
    CHIit # good .

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_Brown6.96
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah028.chaSarah 2;9.061,149886.96

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. like8 · 100.0%