PHPCLANCHILDES with regular expressions

11 matches in 11 utterances

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

  1. one xxx . MOT · eng_USA_Brown/sarah114.cha, line 237 · Sarah 4;06
  2. I think you'd better forget that one . MOT · eng_USA_Brown/sarah114.cha, line 280 · 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 wrote ? MEL · eng_USA_Brown/sarah114.cha, line 397 · Sarah 4;06
  6. and which is the one that you wrote ? MEL · eng_USA_Brown/sarah114.cha, line 411 · Sarah 4;06
  7. which one did you write ? MEL · eng_USA_Brown/sarah114.cha, line 417 · Sarah 4;06
  8. and which one did you draw ? MEL · eng_USA_Brown/sarah114.cha, line 420 · Sarah 4;06
  9. a big one ? MOT · eng_USA_Brown/sarah114.cha, line 500 · Sarah 4;06
  10. a good one ? MEL · eng_USA_Brown/sarah114.cha, line 542 · Sarah 4;06
  11. that's how you make one kind . MEL · eng_USA_Brown/sarah114.cha, line 555 · Sarah 4;06
  1. eng_USA_Brown/sarah114.cha, line 237 · Sarah, 4;6.17
    CHId@l o@l g@l .
    MOTno xxx ?
    MOT*MOT: one xxx .
    MOTd@l o@l g@l .
    CHIoh .
  2. eng_USA_Brown/sarah114.cha, line 280 · Sarah, 4;6.17
    CHIhey !
    CHIhey # what I sayin(g) you # but I was doin(g) it !
    MOT*MOT: I think you'd better forget that one .
    CHIthat's good .
    CHIthat's good .
  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 411 · Sarah, 4;6.17
    MELoh # a little tail .
    MELwhich is the dog you drew ?
    MEL*MEL: and which is the one that you wrote ?
    CHIdog # dog .
    MELwhich one did you write ?
  7. eng_USA_Brown/sarah114.cha, line 417 · Sarah, 4;6.17
    MELand which is the one that you wrote ?
    CHIdog # dog .
    MEL*MEL: which one did you write ?
    MELand which one did you draw ?
    MELthat's right .
  8. eng_USA_Brown/sarah114.cha, line 420 · Sarah, 4;6.17
    CHIdog # dog .
    MELwhich one did you write ?
    MEL*MEL: and which one did you draw ?
    MELthat's right .
    CHII said # spell +"/.
  9. eng_USA_Brown/sarah114.cha, line 500 · Sarah, 4;6.17
    CHIthat's a teapot .
    CHIa big one .
    MOT*MOT: a big one ?
    CHIyeah .
    CHIsomethin(g) in that ?
  10. eng_USA_Brown/sarah114.cha, line 542 · Sarah, 4;6.17
    CHIcan you make a good teapot ?
    CHIhow ?
    MEL*MEL: a good one ?
    CHIyeah .
    MELwell # let's see .
  11. eng_USA_Brown/sarah114.cha, line 555 · Sarah, 4;6.17
    MELthank+you .
    CHIthat's how you make it ?
    MEL*MEL: that's how you make one kind .
    CHIit looks like a sink to me .
    CHIcan't you draw a sink ?

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_Brown9.32
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah114.chaSarah 4;6.171,18011119.32

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. one11 · 100.0%