PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

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

  1. well how about this pen ? URS · eng_USA_Brown/adam18.cha, line 57 · Adam 2;11
  2. how can a cracker cry ? MOT · eng_USA_Brown/adam18.cha, line 511 · Adam 2;11
  3. how can crackers talk ? MOT · eng_USA_Brown/adam18.cha, line 519 · Adam 2;11
  4. I'll show you how . URS · eng_USA_Brown/adam18.cha, line 674 · Adam 2;11
  5. how do you know ? MOT · eng_USA_Brown/adam18.cha, line 1989 · Adam 2;11
  6. how are you doing that ? URS · eng_USA_Brown/adam18.cha, line 2751 · Adam 2;11
  7. how do I know what # Adam ? CEC · eng_USA_Brown/adam18.cha, line 3218 · Adam 2;11
  1. eng_USA_Brown/adam18.cha, line 57 · Adam, 2;11.13
    URSI'll hold it .
    CHIle(t) me look .
    URS*URS: well how about this pen ?
    URSis that better for you # Adam ?
    CHIno .
  2. eng_USA_Brown/adam18.cha, line 511 · Adam, 2;11.13
    CHIyes .
    CHI<d(o) you wan(t) me> [//] le(t) me turn .
    MOT*MOT: how can a cracker cry ?
    MOTcrackers can't talk .
    CHIwhy not # cracker can't talk ?
  3. eng_USA_Brown/adam18.cha, line 519 · Adam, 2;11.13
    CHIwhy not # cracker can't talk ?
    MOTyou eat crackers .
    MOT*MOT: how can crackers talk ?
    MOTcan bread talk ?
    CHIyeah .
  4. eng_USA_Brown/adam18.cha, line 674 · Adam, 2;11.13
    URSalright .
    CHIyou .
    URS*URS: I'll show you how .
    CHIhow ?
    URSjust go around .
  5. eng_USA_Brown/adam18.cha, line 1989 · Adam, 2;11.13
    CHII know .
    MOTyou know ?
    MOT*MOT: how do you know ?
    CHIfinal .
    CHIfinal .
  6. eng_USA_Brown/adam18.cha, line 2751 · Adam, 2;11.13
    URSwho's making that noise ?
    CHIme .
    URS*URS: how are you doing that ?
    CHII going # find money .
    URSyou're going to what ?
  7. eng_USA_Brown/adam18.cha, line 3218 · Adam, 2;11.13
    CHIxxx (Ce)cile .
    CHIhow do you know # Pucilia@c ?
    CEC*CEC: how do I know what # Adam ?
    CHIPucile@c .
    CECCecile what # Adam ?

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_Brown2.66
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/adam18.chaAdam 2;11.132,633772.66

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. how7 · 100.0%