PHPCLANCHILDES with regular expressions

4 matches in 4 utterances

2.43 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (379 utterances, 1,645 words searched).

  1. what did ya do today in school ? MOT · eng_USA_Brown/sarah105.cha, line 536 · Sarah 4;04
  2. what did ya do in school ? MOT · eng_USA_Brown/sarah105.cha, line 540 · Sarah 4;04
  3. did you put your coat up here ? MOT · eng_USA_Brown/sarah105.cha, line 1243 · Sarah 4;04
  4. what did you have at school today to drink ? MOT · eng_USA_Brown/sarah105.cha, line 1340 · Sarah 4;04
  1. eng_USA_Brown/sarah105.cha, line 536 · Sarah, 4;4.18
    MOThuh ?
    MOTwhat d(o) ya do today in school ?
    MOT*MOT: what did ya do today in school ?
    CHI0 [=! again growls] .
    MOTwhat did ya do in school ?
  2. eng_USA_Brown/sarah105.cha, line 540 · Sarah, 4;4.18
    MOTwhat did ya do today in school ?
    CHI0 [=! again growls] .
    MOT*MOT: what did ya do in school ?
    MELwhat are you being # Sarah ?
    GAIwho makes noises like that ?
  3. eng_USA_Brown/sarah105.cha, line 1243 · Sarah, 4;4.18
    GAIwhat ?
    CHIxxx .
    MOT*MOT: did you put your coat up here ?
    FATno .
    CHIok Mommy # you draw the hands .
  4. eng_USA_Brown/sarah105.cha, line 1340 · Sarah, 4;4.18
    MOTrosy cheeks down there ?
    MOTwhat have ya got on your face ?
    MOT*MOT: what did you have at school today to drink ?
    CHImilk .
    MOTI thought so .

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_Brown2.43
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah105.chaSarah 4;4.181,645442.43

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. did4 · 100.0%