PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

2.28 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (642 utterances, 2,633 words searched).

  1. ask her what kind of feather . MOT · eng_USA_Brown/adam18.cha, line 1541 · Adam 2;11
  2. # David's feather . URS · eng_USA_Brown/adam18.cha, line 1545 · Adam 2;11
  3. that's not a leaf # that's a feather . MOT · eng_USA_Brown/adam18.cha, line 1636 · Adam 2;11
  4. feather . MOT · eng_USA_Brown/adam18.cha, line 1641 · Adam 2;11
  5. it's a feather . MOT · eng_USA_Brown/adam18.cha, line 2054 · Adam 2;11
  6. what d(o) you think that feather came from ? MOT · eng_USA_Brown/adam18.cha, line 2064 · Adam 2;11
  1. eng_USA_Brown/adam18.cha, line 1541 · Adam, 2;11.13
    CHIfeather .
    MOTyes .
    MOT*MOT: ask her what kind of feather .
    CHIwhat kind feather dat ?
    URS# David's feather .
  2. eng_USA_Brown/adam18.cha, line 1545 · Adam, 2;11.13
    MOTask her what kind of feather .
    CHIwhat kind feather dat ?
    URS*URS: # David's feather .
    CHIopen it .
    CHIplease # fit it .
  3. eng_USA_Brown/adam18.cha, line 1636 · Adam, 2;11.13
    CHIthinking (a)bout leaf .
    MOTabout the leaf ?
    MOT*MOT: that's not a leaf # that's a feather .
    CHIleaf .
    MOTfeather .
  4. eng_USA_Brown/adam18.cha, line 1641 · Adam, 2;11.13
    MOTthat's not a leaf # that's a feather .
    CHIleaf .
    MOT*MOT: feather .
    CHId(o) you wan(t) me # have on door ?
    MOTwhy would you put it on the door ?
  5. eng_USA_Brown/adam18.cha, line 2054 · Adam, 2;11.13
    CHII drop him .
    CHId(o) you want your leaf ?
    MOT*MOT: it's a feather .
    CHId(o) you want see it ?
    MOTyes I see it .
  6. eng_USA_Brown/adam18.cha, line 2064 · Adam, 2;11.13
    CHIwhat kind feather dat ?
    MOTwhat d(o) you think ?
    MOT*MOT: what d(o) you think that feather came from ?
    CHIcame from leaf .
    CHIsee ?

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. Adam eng_USA_Brown2.28
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/adam18.chaAdam 2;11.132,633662.28

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. feather6 · 100.0%