PHPCLANCHILDES with regular expressions

7 matches in 6 utterances

19.83 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (90 utterances, 353 words searched).

  1. look in his coffee cup . MOT · eng_USA_Brown/eve08.cha, line 97 · Eve 1;09
  2. in a minute . COL · eng_USA_Brown/eve08.cha, line 113 · Eve 1;09
  3. will we turn the page in a minute ? COL · eng_USA_Brown/eve08.cha, line 116 · Eve 1;09
  4. what will we do in a minute ? COL · eng_USA_Brown/eve08.cha, line 132 · Eve 1;09
  5. what's Papa doing in Chicago ? COL · eng_USA_Brown/eve08.cha, line 168 · Eve 1;09
  6. there'll be tapioca in the bowl in a minute . MOT · eng_USA_Brown/eve08.cha, line 389 · Eve 1;09
  7. there'll be tapioca in the bowl in a minute . MOT · eng_USA_Brown/eve08.cha, line 389 · Eve 1;09
  1. eng_USA_Brown/eve08.cha, line 97 · Eve, 1;9.
    MOTwhere's his spoon ?
    CHIwhere Fraser spoon ?
    MOT*MOT: look in his coffee cup .
    CHIsugar .
    MOThe has sugar # Eve .
  2. eng_USA_Brown/eve08.cha, line 113 · Eve, 1;9.
    CHIa@l b@l c@l .
    COLwe're not ready to turn yet .
    COL*COL: in a minute .
    COLwill we turn the page in a minute ?
    COLwhat are we doing now ?
  3. eng_USA_Brown/eve08.cha, line 116 · Eve, 1;9.
    COLwe're not ready to turn yet .
    COLin a minute .
    COL*COL: will we turn the page in a minute ?
    COLwhat are we doing now ?
    COLwhat am I doing now ?
  4. eng_USA_Brown/eve08.cha, line 132 · Eve, 1;9.
    CHIin a minute .
    COLm:hm .
    COL*COL: what will we do in a minute ?
    COLeh ?
    CHIwhere Papa ?
  5. eng_USA_Brown/eve08.cha, line 168 · Eve, 1;9.
    MOTChicago .
    MOTthat's right .
    COL*COL: what's Papa doing in Chicago ?
    CHIthat ?
    COLthat's a xxx .
  6. eng_USA_Brown/eve08.cha, line 389 · Eve, 1;9.
    MOTthere .
    CHIneed tapioca in the bowl .
    MOT*MOT: there'll be tapioca in the bowl in a minute .
    MOTwe have to cook it first .
    MOTd(o) you wanna piece a cheese ?

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_Brown19.83
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/eve08.chaEve 1;9.3536719.83

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. in7 · 100.0%