PHPCLANCHILDES with regular expressions

4 matches in 4 utterances

3.02 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (320 utterances, 1,325 words searched).

  1. tonic . MOT · eng_USA_Brown/sarah049.cha, line 704 · Sarah 3;02
  2. tonic . GLO · eng_USA_Brown/sarah049.cha, line 706 · Sarah 3;02
  3. you have tonic don't you ? GLO · eng_USA_Brown/sarah049.cha, line 713 · Sarah 3;02
  4. make+believe there's tonic in your cup . GLO · eng_USA_Brown/sarah049.cha, line 751 · Sarah 3;02
  1. eng_USA_Brown/sarah049.cha, line 704 · Sarah, 3;2.16
    GLOsoda ?
    GLO<what do you> [//] you don't call it soda ?
    MOT*MOT: tonic .
    GLOtonic .
    CHIwater .
  2. eng_USA_Brown/sarah049.cha, line 706 · Sarah, 3;2.16
    GLO<what do you> [//] you don't call it soda ?
    MOTtonic .
    GLO*GLO: tonic .
    CHIwater .
    GLOyou have tonic don't you ?
  3. eng_USA_Brown/sarah049.cha, line 713 · Sarah, 3;2.16
    GLOtonic .
    CHIwater .
    GLO*GLO: you have tonic don't you ?
    CHIin the yyy +...
    GLOin the what ?
  4. eng_USA_Brown/sarah049.cha, line 751 · Sarah, 3;2.16
    MOTmake+believe .
    GLOjust make+believe .
    GLO*GLO: make+believe there's tonic in your cup .
    GLO(a)n(d) you're giving it to the the monkey .
    GLOmake+believe .

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/sarah049.chaSarah 3;2.161,325443.02

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. tonic4 · 100.0%