PHPCLANCHILDES with regular expressions

8 matches in 7 utterances

4.24 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (416 utterances, 1,889 words searched).

  1. did you write good ? GAI · eng_USA_Brown/sarah099.cha, line 875 · Sarah 4;03
  2. see # so she can write too # if she wanted to write . MOT · eng_USA_Brown/sarah099.cha, line 899 · Sarah 4;03
  3. see # so she can write too # if she wanted to write . MOT · eng_USA_Brown/sarah099.cha, line 899 · Sarah 4;03
  4. what do you wanna write ? GAI · eng_USA_Brown/sarah099.cha, line 1265 · Sarah 4;03
  5. I write # huh ? MOT · eng_USA_Brown/sarah099.cha, line 1443 · Sarah 4;03
  6. did I write # good ? MOT · eng_USA_Brown/sarah099.cha, line 1445 · Sarah 4;03
  7. did you write good ? GAI · eng_USA_Brown/sarah099.cha, line 1447 · Sarah 4;03
  8. see # so she wanted to write . MOT · eng_USA_Brown/sarah099.cha, line 1461 · Sarah 4;03
  1. CHII write # huh ?
    CHIdid I write # good ?
    GAI*GAI: did you write good ?
    GAIsure .
    GAIhere's a paper just for you .
  2. MOThere # give that one back .
    MOTuse this one .
    MOT*MOT: see # so she can write too # if she wanted to write .
    MOTok ?
    CHIthat's black like yours .
  3. GAIhow's your writing coming # lady ?
    CHII'm gonna write now .
    GAI*GAI: what do you wanna write ?
    CHIlike dat # huh ?
    CHImake a +...
  4. MOTyeah .
    GAIyes .
    MOT*MOT: I write # huh ?
    MOTdid I write # good ?
    GAIdid you write good ?
  5. GAIyes .
    MOTI write # huh ?
    MOT*MOT: did I write # good ?
    GAIdid you write good ?
    GAIsure .
  6. MOTI write # huh ?
    MOTdid I write # good ?
    GAI*GAI: did you write good ?
    GAIsure .
    GAIhere's a paper just for you .
  7. MOThere # give that one back .
    MOTuse this one .
    MOT*MOT: see # so she wanted to write .
    MOTok ?
    CHIthat's black like yours .

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_Brown4.24
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah099.chaSarah 4;3.071,889784.24

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. write8 · 100.0%