PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

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

  1. we're not ready to turn yet . COL · eng_USA_Brown/eve08.cha, line 110 · Eve 1;09
  2. will we turn the page in a minute ? COL · eng_USA_Brown/eve08.cha, line 116 · Eve 1;09
  3. what are we doing now ? COL · eng_USA_Brown/eve08.cha, line 119 · Eve 1;09
  4. what will we do in a minute ? COL · eng_USA_Brown/eve08.cha, line 132 · Eve 1;09
  5. we'll make some this afternoon . MOT · eng_USA_Brown/eve08.cha, line 324 · Eve 1;09
  6. we have to cook it first . MOT · eng_USA_Brown/eve08.cha, line 394 · Eve 1;09
  1. eng_USA_Brown/eve08.cha, line 110 · Eve, 1;9.
    MOThe has sugar # Eve .
    CHIa@l b@l c@l .
    COL*COL: we're not ready to turn yet .
    COLin a minute .
    COLwill we turn the page in a minute ?
  2. 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 ?
  3. eng_USA_Brown/eve08.cha, line 119 · Eve, 1;9.
    COLin a minute .
    COLwill we turn the page in a minute ?
    COL*COL: what are we doing now ?
    COLwhat am I doing now ?
    CHIin a minute .
  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 324 · Eve, 1;9.
    CHIwant tapioca .
    MOTthere is no tapioca .
    MOT*MOT: we'll make some this afternoon .
    CHItapioca .
    MOTblow ?
  6. eng_USA_Brown/eve08.cha, line 394 · Eve, 1;9.
    CHIneed tapioca in the bowl .
    MOTthere'll be tapioca in the bowl in a minute .
    MOT*MOT: we have to cook it first .
    MOTd(o) you wanna piece a cheese ?
    MOTdo 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_Brown17.00
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/eve08.chaEve 1;9.3536617.00

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. we6 · 100.0%