PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

6.37 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (271 utterances, 1,099 words searched).

  1. what's this # a w@l # u@l # h@l +... MOT · eng_USA_Brown/sarah071.cha, line 352 · Sarah 3;07
  2. do it like this # see ? MOT · eng_USA_Brown/sarah071.cha, line 477 · Sarah 3;07
  3. oh # what's this ? MOT · eng_USA_Brown/sarah071.cha, line 669 · Sarah 3;07
  4. no # this is an m@l . MOT · eng_USA_Brown/sarah071.cha, line 683 · Sarah 3;07
  5. she thought she was going to be here this morning . KEN · eng_USA_Brown/sarah071.cha, line 777 · Sarah 3;07
  6. this poor thing has had it . MOT · eng_USA_Brown/sarah071.cha, line 851 · Sarah 3;07
  7. this is going to be a long week . MOT · eng_USA_Brown/sarah071.cha, line 1056 · Sarah 3;07
  1. CHIwhoops !
    MOTwhat ?
    MOT*MOT: what's this # a w@l # u@l # h@l +...
    CHIdub@b # <h@l # h@l # h@l # h@l> [/] # h@l .
    CHIwhere the h@l ?
  2. CHII can't do it .
    MOTyes you can .
    MOT*MOT: do it like this # see ?
    MOTsee ?
    MOTnow you do it .
  3. MOTI know you've got an r@l .
    MOTthe green one right down there by your arm ?
    MOT*MOT: oh # what's this ?
    MOThere it is .
    MOTnow look for the a@l # Sarah .
  4. CHIyou got to let this letter is .
    CHIm@l [/] # m@l +...
    MOT*MOT: no # this is an m@l .
    MOTit's an h@l .
    CHIn@l .
  5. MOTit seems unusual .
    CHIwhat one you want me to do .
    KEN*KEN: she thought she was going to be here this morning .
    KENI talked to her last week .
    CHIoops .
  6. CHImonkey ears .
    MOTthat's not Mr Ears .
    MOT*MOT: this poor thing has had it .
    CHIhis chain is lost .
    MOThis what ?
  7. CHIDada .
    MOTxxx drowned out by the doll .
    MOT*MOT: this is going to be a long week .
    CHIcoffee all gone .
    MOTxxx .

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_Brown6.37
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah071.chaSarah 3;7.301,099776.37

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. this7 · 100.0%