PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

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

  1. he fixed your boo+boo all up . MOT · eng_USA_Brown/sarah027.cha, line 1157 · Sarah 2;09
  2. how'd he fix your boo+boo ? COU · eng_USA_Brown/sarah027.cha, line 1159 · Sarah 2;09
  3. what'd he do to your boo+boo ? COU · eng_USA_Brown/sarah027.cha, line 1162 · Sarah 2;09
  1. GLOwhat did the doctor do to you # Sarah ?
    CHIa fixed my boo+boo all up .
    MOT*MOT: he fixed your boo+boo all up .
    COUhow'd he fix your boo+boo ?
    COUwhat'd he do to your boo+boo ?
  2. CHIa fixed my boo+boo all up .
    MOThe fixed your boo+boo all up .
    COU*COU: how'd he fix your boo+boo ?
    COUwhat'd he do to your boo+boo ?
    CHIxxx .
  3. MOThe fixed your boo+boo all up .
    COUhow'd he fix your boo+boo ?
    COU*COU: what'd he do to your boo+boo ?
    CHIxxx .
    GLOwhat # honey ?

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_Brown2.41
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah027.chaSarah 2;9.1,245332.41

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. boo+boo3 · 100.0%