PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

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

  1. that's right # what did I do with it ? GLO · eng_USA_Brown/sarah027.cha, line 114 · Sarah 2;09
  2. that's how you swim # huh . MOT · eng_USA_Brown/sarah027.cha, line 474 · Sarah 2;09
  3. yeah # that's your powder puff # but what's this ? MOT · eng_USA_Brown/sarah027.cha, line 986 · Sarah 2;09
  4. that's very good . GLO · eng_USA_Brown/sarah027.cha, line 1065 · Sarah 2;09
  5. that's very good . GLO · eng_USA_Brown/sarah027.cha, line 1172 · Sarah 2;09
  1. GLOwhat did I do with the earring ?
    CHIxxx .
    GLO*GLO: that's right # what did I do with it ?
    CHII wan(t) go +/.
    GLOwhere is it now ?
  2. CHIa swimming in dis .
    CHIxxx dis .
    MOT*MOT: that's how you swim # huh .
    CHI0 .
    MOTcan your Daddy swim ?
  3. MOTwhat's this ?
    CHImy pow(der)+puff .
    MOT*MOT: yeah # that's your powder puff # but what's this ?
    MOTyour what ?
    CHIyyy .
  4. GLOa big what ?
    MOTbig line .
    GLO*GLO: that's very good .
    GLOwhat does that say # Sarah ?
    CHIyyy .
  5. GLOwhat # honey ?
    CHIxxx .
    GLO*GLO: that's very good .
    GLOwhat did you do ?
    GLOwhat did you just do ?

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_Brown4.02
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah027.chaSarah 2;9.1,245554.02

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. that's5 · 100.0%