PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

5.08 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (274 utterances, 1,180 words searched).

  1. Sarah # now make your xxx . MOT · eng_USA_Brown/sarah114.cha, line 313 · Sarah 4;06
  2. now can you xxx a dog +... MOT · eng_USA_Brown/sarah114.cha, line 335 · Sarah 4;06
  3. now can you xxx a dog # instead of writing one ? MEL · eng_USA_Brown/sarah114.cha, line 337 · Sarah 4;06
  4. now draw one . MEL · eng_USA_Brown/sarah114.cha, line 344 · Sarah 4;06
  5. now Sarah # which is the dog that you drew and which is the one that you … MEL · eng_USA_Brown/sarah114.cha, line 397 · Sarah 4;06
  6. what are you making now ? MEL · eng_USA_Brown/sarah114.cha, line 693 · Sarah 4;06
  1. eng_USA_Brown/sarah114.cha, line 313 · Sarah, 4;6.17
    CHIxxx # did you say xxx ?
    MOTd@l .
    MOT*MOT: Sarah # now make your xxx .
    CHIdat's a xxx .
    MOToh [/] oh yeah # I see # d@l o@l g@l .
  2. eng_USA_Brown/sarah114.cha, line 335 · Sarah, 4;6.17
    MELSarah .
    CHIwhat ?
    MOT*MOT: now can you xxx a dog +...
    MELnow can you xxx a dog # instead of writing one ?
    CHIdog .
  3. eng_USA_Brown/sarah114.cha, line 337 · Sarah, 4;6.17
    CHIwhat ?
    MOTnow can you xxx a dog +...
    MEL*MEL: now can you xxx a dog # instead of writing one ?
    CHIdog .
    MELnow draw one .
  4. eng_USA_Brown/sarah114.cha, line 344 · Sarah, 4;6.17
    MELnow can you xxx a dog # instead of writing one ?
    CHIdog .
    MEL*MEL: now draw one .
    CHIalright .
    CHI(a)n(d) a body like that .
  5. eng_USA_Brown/sarah114.cha, line 397 · Sarah, 4;6.17
    MELI didn't understand .
    CHItape one .
    MEL*MEL: now Sarah # which is the dog that you drew and which is the one that you wrote ?
    MOTwhat's that ?
    CHIa tail .
  6. eng_USA_Brown/sarah114.cha, line 693 · Sarah, 4;6.17
    CHIsix year old # I think .
    CHIno # she's seven year old now .
    MEL*MEL: what are you making now ?
    CHIa light uh # with a house .
    MELa light with a house ?

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_Brown5.08
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah114.chaSarah 4;6.171,180665.08

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. now6 · 100.0%