PHPCLANCHILDES with regular expressions

8 matches in 8 utterances

6.96 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (315 utterances, 1,149 words searched).

  1. you know # huh . MOT · eng_USA_Brown/sarah028.cha, line 77 · Sarah 2;09
  2. you don't know ! MOT · eng_USA_Brown/sarah028.cha, line 272 · Sarah 2;09
  3. I know she has a new one . MOT · eng_USA_Brown/sarah028.cha, line 319 · Sarah 2;09
  4. I don't know # Joann I guess . MOT · eng_USA_Brown/sarah028.cha, line 534 · Sarah 2;09
  5. Mama doesn't know how to make a clown . MOT · eng_USA_Brown/sarah028.cha, line 653 · Sarah 2;09
  6. I don't know what that was . MOT · eng_USA_Brown/sarah028.cha, line 1007 · Sarah 2;09
  7. I don't know a word you're saying . MOT · eng_USA_Brown/sarah028.cha, line 1061 · Sarah 2;09
  8. you know that ? MOT · eng_USA_Brown/sarah028.cha, line 1073 · Sarah 2;09
  1. MOTthat's right .
    CHII know .
    MOT*MOT: you know # huh .
    CHIyeah .
    CHIk@l .
  2. MOT<what is> [//] who's Dawson ?
    CHII (do)n('t) know .
    MOT*MOT: you don't know !
    MOTthe other day you told me his name was Dawson .
    CHIDawson ?
  3. MOTTammy ?
    CHI<she have> [?] new one .
    MOT*MOT: I know she has a new one .
    CHIher [?] not home yet .
    MOTshe's not home yet ?
  4. MOThmm ?
    CHIwho did that ?
    MOT*MOT: I don't know # Joann I guess .
    CHIJoann ?
    MOTum .
  5. MOToh # aren't you smart !
    CHImake clown .
    MOT*MOT: Mama doesn't know how to make a clown .
    CHIwhere legs ?
    MOThis legs are right here .
  6. CHIhe xxx # huh .
    MOTI guess so .
    MOT*MOT: I don't know what that was .
    CHIxxx new one .
    MOTa new one # a new what ?
  7. MOTwhose girl are you ?
    MOTwhose girl are you ?
    MOT*MOT: I don't know a word you're saying .
    MOTwhat are you saying ?
    CHIwww .
  8. CHIwww .
    MOTyou're drooling .
    MOT*MOT: you know that ?
    MOTyou're drooling .
    CHII pinch you .

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_Brown6.96
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah028.chaSarah 2;9.061,149886.96

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. know8 · 100.0%