PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

3.18 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (425 utterances, 1,572 words searched).

  1. you gonna draw a picture of Chantilly ? KEN · eng_USA_Brown/sarah056.cha, line 70 · Sarah 3;04
  2. (be)cause you're gonna give that to Tommy . MOT · eng_USA_Brown/sarah056.cha, line 1037 · Sarah 3;04
  3. <you're gonna give that to Tommy and> [//] let me put it back in the box . MOT · eng_USA_Brown/sarah056.cha, line 1040 · Sarah 3;04
  4. I'm gonna have a toy party next week . MOT · eng_USA_Brown/sarah056.cha, line 1061 · Sarah 3;04
  5. what's Santa_Claus gonna bring you ? MOT · eng_USA_Brown/sarah056.cha, line 1107 · Sarah 3;04
  1. eng_USA_Brown/sarah056.cha, line 70 · Sarah, 3;4.01
    KENok .
    KENand a piece of paper ?
    KEN*KEN: you gonna draw a picture of Chantilly ?
    CHIuh # hey # you w(r)ite on that one .
    KENno # Bugs scribbled on that .
  2. eng_USA_Brown/sarah056.cha, line 1037 · Sarah, 3;4.01
    MOTalright # that's enough .
    MOTcome on .
    MOT*MOT: (be)cause you're gonna give that to Tommy .
    MOT<you're gonna give that to Tommy and> [//] let me put it back in the box .
    CHIlet's see him to now .
  3. eng_USA_Brown/sarah056.cha, line 1040 · Sarah, 3;4.01
    MOTcome on .
    MOT(be)cause you're gonna give that to Tommy .
    MOT*MOT: <you're gonna give that to Tommy and> [//] let me put it back in the box .
    CHIlet's see him to now .
    MOTya can't give it to him .
  4. eng_USA_Brown/sarah056.cha, line 1061 · Sarah, 3;4.01
    GLOwhere are you buying your toys ?
    MOTall different places .
    MOT*MOT: I'm gonna have a toy party next week .
    CHIMommy # I wanna +...
    MOTthey're nice .
  5. eng_USA_Brown/sarah056.cha, line 1107 · Sarah, 3;4.01
    MOTyeah # Tommy .
    MOT<this kid's tree> [//] pick that up .
    MOT*MOT: what's Santa_Claus gonna bring you ?
    CHIthat [/] that # Mommy .
    CHI(a)n(d) ge(t) tha(t) other toys .

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_Brown3.18
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah056.chaSarah 3;4.011,572553.18

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. gonna5 · 100.0%