PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

6.39 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (319 utterances, 1,095 words searched).

  1. what's (th)e matter ? MOT · eng_USA_Brown/sarah036.cha, line 46 · Sarah 2;11
  2. and what's right there ? MOT · eng_USA_Brown/sarah036.cha, line 648 · Sarah 2;11
  3. what's that ? MOT · eng_USA_Brown/sarah036.cha, line 650 · Sarah 2;11
  4. what's the rest of it ? MOT · eng_USA_Brown/sarah036.cha, line 1004 · Sarah 2;11
  5. what's (th)e matter ? MOT · eng_USA_Brown/sarah036.cha, line 1167 · Sarah 2;11
  6. what's that ? MOT · eng_USA_Brown/sarah036.cha, line 1270 · Sarah 2;11
  7. what's that ? MOT · eng_USA_Brown/sarah036.cha, line 1307 · Sarah 2;11
  1. eng_USA_Brown/sarah036.cha, line 46 · Sarah, 2;11.02
    MOTit's in there .
    CHIhey .
    MOT*MOT: what's (th)e matter ?
    CHIxxx # soap .
    MOTit's right there .
  2. eng_USA_Brown/sarah036.cha, line 648 · Sarah, 2;11.02
    COUmmhm .
    CHIright here .
    MOT*MOT: and what's right there ?
    MOTwhat's that ?
    CHIa bob(by)+pin .
  3. eng_USA_Brown/sarah036.cha, line 650 · Sarah, 2;11.02
    CHIright here .
    MOTand what's right there ?
    MOT*MOT: what's that ?
    CHIa bob(by)+pin .
    MOTbobby+pins .
  4. eng_USA_Brown/sarah036.cha, line 1004 · Sarah, 2;11.02
    MOTnow I +...
    CHInow +...
    MOT*MOT: what's the rest of it ?
    MOTnow I what ?
    CHInow I say my abc .
  5. eng_USA_Brown/sarah036.cha, line 1167 · Sarah, 2;11.02
    CHI<one # two # three # o:h> [?] [=! counting] . [+ bch]
    MOT<alright # one # two three # whee> [<] .
    MOT*MOT: what's (th)e matter ?
    CHIcold .
    MOTyou cold ?
  6. eng_USA_Brown/sarah036.cha, line 1270 · Sarah, 2;11.02
    MOTwhere's it go ?
    CHIright here .
    MOT*MOT: what's that ?
    MOThmm ?
    CHI<I want> [/] # I want some again .
  7. eng_USA_Brown/sarah036.cha, line 1307 · Sarah, 2;11.02
    COUwhat happened ?
    CHII fall down .
    MOT*MOT: what's that ?
    MOTwhat that ?
    CHIa mi(cro)phone .

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_Brown6.39
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah036.chaSarah 2;11.021,095776.39

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. what's7 · 100.0%