PHPCLANCHILDES with regular expressions

4 matches in 4 utterances

3.21 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (303 utterances, 1,245 words searched).

  1. do you know what this is ? GLO · eng_USA_Brown/sarah027.cha, line 25 · Sarah 2;09
  2. you don't know that ? MOT · eng_USA_Brown/sarah027.cha, line 886 · Sarah 2;09
  3. you do too know . MOT · eng_USA_Brown/sarah027.cha, line 1109 · Sarah 2;09
  4. how do you know ? GLO · eng_USA_Brown/sarah027.cha, line 1265 · Sarah 2;09
  1. eng_USA_Brown/sarah027.cha, line 25 · Sarah, 2;9.
    GLOreally ?
    GLOwhat's this ?
    GLO*GLO: do you know what this is ?
    CHI0 .
    GLOwhat ?
  2. eng_USA_Brown/sarah027.cha, line 886 · Sarah, 2;9.
    CHIlike dis .
    GLOand what am I doing now # Sarah ?
    MOT*MOT: you don't know that ?
    CHIa fishie .
    CHIcame out .
  3. eng_USA_Brown/sarah027.cha, line 1109 · Sarah, 2;9.
    CHII (do)n('t) know .
    CHIxxx .
    MOT*MOT: you do too know .
    MOTwhere did it happen ?
    CHIxxx show me .
  4. eng_USA_Brown/sarah027.cha, line 1265 · Sarah, 2;9.
    CHI0 .
    GLOdid he like you ?
    GLO*GLO: how do you know ?
    CHIxxx .
    MOTwhat did the doctor give you because you were such a good girl ?

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_Brown3.21
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah027.chaSarah 2;9.1,245443.21

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. know4 · 100.0%