PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

3.95 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (318 utterances, 1,519 words searched).

  1. you did too have curls . MOT · eng_USA_Brown/sarah091.cha, line 170 · Sarah 4;01
  2. did you go to the beach this week ? MEL · eng_USA_Brown/sarah091.cha, line 469 · Sarah 4;01
  3. oh # did you take my keys ? MOT · eng_USA_Brown/sarah091.cha, line 691 · Sarah 4;01
  4. did you fall down ? MEL · eng_USA_Brown/sarah091.cha, line 1029 · Sarah 4;01
  5. did you fall ? MEL · eng_USA_Brown/sarah091.cha, line 1056 · Sarah 4;01
  6. did that go out the window ? MOT · eng_USA_Brown/sarah091.cha, line 1456 · Sarah 4;01
  1. eng_USA_Brown/sarah091.cha, line 170 · Sarah, 4;1.11
    MOThuh ?
    CHII never had curls .
    MOT*MOT: you did too have curls .
    CHIahhaha@b .
    CHIsee ?
  2. eng_USA_Brown/sarah091.cha, line 469 · Sarah, 4;1.11
    CHII thought it was ten minutes of eleven .
    CHIit was ten minutes of twelve .
    MEL*MEL: did you go to the beach this week ?
    MELyeah .
    MOTyeah .
  3. eng_USA_Brown/sarah091.cha, line 691 · Sarah, 4;1.11
    FATno .
    FATI've got your keys .
    MOT*MOT: oh # did you take my keys ?
    FATI want my keys .
    MOTover there # by the xxx .
  4. eng_USA_Brown/sarah091.cha, line 1029 · Sarah, 4;1.11
    CHIhaha !
    CHIsee ?
    MEL*MEL: did you fall down ?
    CHIright here .
    MELwhere ?
  5. eng_USA_Brown/sarah091.cha, line 1056 · Sarah, 4;1.11
    MELhow'd you get that thing on your knee ?
    CHII just combed it .
    MEL*MEL: did you fall ?
    CHIyup .
    MELwhere ?
  6. eng_USA_Brown/sarah091.cha, line 1456 · Sarah, 4;1.11
    MOTone # two # four # five # huh ?
    MOTwhat happened to three ?
    MOT*MOT: did that go out the window ?
    CHIhuh ?
    MOTwhat happened to three ?

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_Brown3.95
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah091.chaSarah 4;1.111,519663.95

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. did6 · 100.0%