PHPCLANCHILDES with regular expressions

11 matches in 11 utterances

2.85 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (932 utterances, 3,866 words searched).

  1. what's wrong ? MOT · eng_USA_Brown/eve15.cha, line 178 · Eve 2;01
  2. what's that ? COL · eng_USA_Brown/eve15.cha, line 941 · Eve 2;01
  3. what's that got to do with the birthday cake ? MOT · eng_USA_Brown/eve15.cha, line 1663 · Eve 2;01
  4. we said what's wrong to Cathy Dodie ? MOT · eng_USA_Brown/eve15.cha, line 3206 · Eve 2;01
  5. oh # you and Becky said what's wrong ? MOT · eng_USA_Brown/eve15.cha, line 3218 · Eve 2;01
  6. what's she doing ? MOT · eng_USA_Brown/eve15.cha, line 3906 · Eve 2;01
  7. what's what doing ? MOT · eng_USA_Brown/eve15.cha, line 3924 · Eve 2;01
  8. what's wrong with it ? MOT · eng_USA_Brown/eve15.cha, line 4113 · Eve 2;01
  9. what's wrong ? MOT · eng_USA_Brown/eve15.cha, line 4119 · Eve 2;01
  10. what's he doing then ? COL · eng_USA_Brown/eve15.cha, line 4399 · Eve 2;01
  11. what's that got to do with it ? MOT · eng_USA_Brown/eve15.cha, line 4941 · Eve 2;01
  1. MOTdoesn't it feel better ?
    CHIoh .
    MOT*MOT: what's wrong ?
    CHIhurt my eye .
    MOTyour eye ?
  2. MOTeh ?
    CHIuhhuh .
    COL*COL: what's that ?
    CHIthat my banjo .
    MOTare you going to give me a tune ?
  3. MOTthe horse had (t)a have a drink of water ?
    CHIyeah .
    MOT*MOT: what's that got to do with the birthday cake ?
    CHIbecause we have a make it .
    MOTwe made a drink of water ?
  4. MOTalright # you drink your Fizzie .
    CHISue # we've [//] we told xxx Cathy_Dodie .
    MOT*MOT: we said what's wrong to Cathy Dodie ?
    MOTwhen ?
    CHIoutside # when we go on the sidewalk .
  5. MOTwhen ?
    CHIoutside # when we go on the sidewalk .
    MOT*MOT: oh # you and Becky said what's wrong ?
    CHIyeah .
    MOTwhy ?
  6. MOTwhere've you been ?
    CHIsee Sarah .
    MOT*MOT: what's she doing ?
    CHIhe laying down .
    MOTwhere ?
  7. CHIthe <tape+recorder> [/] tape+recorder going around .
    CHIand what's it doing ?
    MOT*MOT: what's what doing ?
    CHIa tape+recorder xxx doing .
    MOTthe numbers .
  8. MOTI will # in just a moment .
    CHIo:h # my sleeve .
    MOT*MOT: what's wrong with it ?
    CHImy sleeve .
    MOTwhat's wrong ?
  9. MOTwhat's wrong with it ?
    CHImy sleeve .
    MOT*MOT: what's wrong ?
    CHIyou push it up .
    CHIwant tapioca .
  10. CHICromer not writing with he pencil .
    MOTno he's not .
    COL*COL: what's he doing then ?
    COLEve # is that # he pencil # or is that # his pencil ?
    CHIthat he pencil .
  11. MOTno pictures ?
    CHIyep .
    MOT*MOT: what's that got to do with it ?
    CHII can't .
    MOTyou can't ?

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. Eve eng_USA_Brown2.85
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/eve15.chaEve 2;1.3,86611112.85

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. what's11 · 100.0%