PHPCLANCHILDES with regular expressions

4 matches in 3 utterances

2.74 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (303 utterances, 1,462 words searched).

  1. wait # wait what ? MOT · eng_USA_Brown/sarah128.cha, line 535 · Sarah 4;10
  2. wait # wait what ? MOT · eng_USA_Brown/sarah128.cha, line 535 · Sarah 4;10
  3. wait (un)till I fix your hair . MOT · eng_USA_Brown/sarah128.cha, line 580 · Sarah 4;10
  4. wait (un)till I get this mess up . MOT · eng_USA_Brown/sarah128.cha, line 612 · Sarah 4;10
  1. eng_USA_Brown/sarah128.cha, line 535 · Sarah, 4;10.21
    MOThuh ?
    CHIwait # wait .
    MOT*MOT: wait # wait what ?
    CHI<I will> [/] # I will dance in her +...
    MOTplace .
  2. eng_USA_Brown/sarah128.cha, line 580 · Sarah, 4;10.21
    MOTyeah .
    GAIhave you been down to the beach yet # Sarah ?
    MOT*MOT: wait (un)till I fix your hair .
    MOTwell le(t) me put the rest of the pin curls in .
    MOTBozo'll take one look at you with no curls (a)n(d) # heavens .
  3. eng_USA_Brown/sarah128.cha, line 612 · Sarah, 4;10.21
    MOTI'll fix your hair first and then you can show them # alright ?
    CHIalright .
    MOT*MOT: wait (un)till I get this mess up .
    CHII have to take a nap .
    MOTwell if you don't take a nap # y(ou) know # you can't go to the Bozo +...

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_Brown2.74
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah128.chaSarah 4;10.211,462342.74

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. wait4 · 100.0%