PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

3.02 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (454 utterances, 1,986 words searched).

  1. very good . MEL · eng_USA_Brown/sarah127.cha, line 148 · Sarah 4;10
  2. very # very good . MEL · eng_USA_Brown/sarah127.cha, line 154 · Sarah 4;10
  3. sure # that's good . FAT · eng_USA_Brown/sarah127.cha, line 317 · Sarah 4;10
  4. next week if you do good # y(ou) know # we can start with your toes . FAT · eng_USA_Brown/sarah127.cha, line 677 · Sarah 4;10
  5. I didn't get a very good one . FAT · eng_USA_Brown/sarah127.cha, line 847 · Sarah 4;10
  6. you're doin(g) pretty good jump ropin(g) too # huh ? FAT · eng_USA_Brown/sarah127.cha, line 1332 · Sarah 4;10
  1. eng_USA_Brown/sarah127.cha, line 148 · Sarah, 4;10.06
    CHIle(t) me see .
    CHIk@l .
    MEL*MEL: very good .
    CHIi@l .
    MOThold me up !
  2. eng_USA_Brown/sarah127.cha, line 154 · Sarah, 4;10.06
    CHIi@l .
    MOThold me up !
    MEL*MEL: very # very good .
    MELwhere did you learn that ?
    CHImy Nana taught me .
  3. eng_USA_Brown/sarah127.cha, line 317 · Sarah, 4;10.06
    MOT(a)n(d) what were you yellin(g) ?
    CHII'm not goin(g) tell .
    FAT*FAT: sure # that's good .
    FATyou were right .
    FATtell Melissa .
  4. eng_USA_Brown/sarah127.cha, line 677 · Sarah, 4;10.06
    FATeleven ?
    FATit's five fingers and five fingers and one more finger .
    FAT*FAT: next week if you do good # y(ou) know # we can start with your toes .
    CHIoh # no .
    CHInot with my toes .
  5. eng_USA_Brown/sarah127.cha, line 847 · Sarah, 4;10.06
    FATit has to be down here somewhere .
    FATit disappeared .
    FAT*FAT: I didn't get a very good one .
    CHIwhy ?
    FAThuh ?
  6. eng_USA_Brown/sarah127.cha, line 1332 · Sarah, 4;10.06
    FATyet .
    CHIsee how I can bounce the ball .
    FAT*FAT: you're doin(g) pretty good jump ropin(g) too # huh ?
    CHIuhhuh # and Double_Dutch .
    FATDouble_Dutch .

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_Brown3.02
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah127.chaSarah 4;10.061,986663.02

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. good6 · 100.0%