PHPCLANCHILDES with regular expressions

4 matches in 4 utterances

7.75 per 1,000 words of the child (CHI), in 1 of 1 transcripts (204 utterances, 516 words searched).

  1. make an o@l . CHI · eng_USA_Brown/sarah052.cha, line 1228 · Sarah 3;03
  2. make Kelloggs . CHI · eng_USA_Brown/sarah052.cha, line 1242 · Sarah 3;03
  3. make s@l . CHI · eng_USA_Brown/sarah052.cha, line 1304 · Sarah 3;03
  4. make the other s@l . CHI · eng_USA_Brown/sarah052.cha, line 1319 · Sarah 3;03
  1. eng_USA_Brown/sarah052.cha, line 1228 · Sarah, 3;3.07
    MOTgood pickings .
    CHIgood <&pi> [//] &pi +...
    CHI*CHI: make an o@l .
    KENdo you want me to make an o@l ?
    KENthere is an o@l .
  2. eng_USA_Brown/sarah052.cha, line 1242 · Sarah, 3;3.07
    KENdo you know what that's a picture of ?
    KENit's a picture of a Fruit Loop .
    CHI*CHI: make Kelloggs .
    KENKelloggs .
    MOTKelloggs .
  3. eng_USA_Brown/sarah052.cha, line 1304 · Sarah, 3;3.07
    KENwhat's this spell ?
    CHIp@l # p@l # aah # t@l # aah xxx .
    CHI*CHI: make s@l .
    KENmake s@l ?
    CHIyeah .
  4. eng_USA_Brown/sarah052.cha, line 1319 · Sarah, 3;3.07
    KENit looks like this when you write it .
    KENthat's s@l .
    CHI*CHI: make the other s@l .
    KENmake the other s@l ?
    KENthe little s@l ?

Matches by age

One dot per transcript: matches per 1,000 words of the child (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_Brown7.75
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah052.chaSarah 3;3.07516447.75

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. make4 · 100.0%