PHPCLANCHILDES with regular expressions

4 matches in 3 utterances

3.20 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (310 utterances, 1,250 words searched).

  1. all over my dress and I had ta iron it # yeah . MOT · eng_USA_Brown/sarah050.cha, line 529 · Sarah 3;02
  2. Sarah # how long have you had those ? KEN · eng_USA_Brown/sarah050.cha, line 952 · Sarah 3;02
  3. except when they came around with the collection box <she had &thirt> [//] she had fourteen cents . MOT · eng_USA_Brown/sarah050.cha, line 1404 · Sarah 3;02
  4. …en they came around with the collection box <she had &thirt> [//] she had fourteen cents . MOT · eng_USA_Brown/sarah050.cha, line 1404 · Sarah 3;02
  1. MOTyeah .
    CHIeeobeeo@b yyy ya@b better idea .
    MOT*MOT: all over my dress and I had ta iron it # yeah .
    KENI still want to know .
    KENwhy does a hopperoo hop ?
  2. CHII took some a +...
    CHIok .
    KEN*KEN: Sarah # how long have you had those ?
    MOTwhere'd you get these ?
    MOThmm ?
  3. KENo:h # first time ?
    MOTno # she's gone befo(re) # but she was very good .
    MOT*MOT: except when they came around with the collection box <she had &thirt> [//] she had fourteen cents .
    MOTshe dropped a penny and then the man came with the collection box .
    MOTshe put a penny in on the way through it was goin(g) in .

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_Brown3.20
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah050.chaSarah 3;2.231,250343.20

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. had4 · 100.0%