PHPCLANCHILDES with regular expressions

4 matches in 4 utterances

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

  1. there they are . MOT · eng_USA_Brown/eve08.cha, line 66 · Eve 1;09
  2. what are we doing now ? COL · eng_USA_Brown/eve08.cha, line 119 · Eve 1;09
  3. what are you going to do ? COL · eng_USA_Brown/eve08.cha, line 222 · Eve 1;09
  4. are you happy now ? MOT · eng_USA_Brown/eve08.cha, line 436 · Eve 1;09
  1. eng_USA_Brown/eve08.cha, line 66 · Eve, 1;9.
    CHIno .
    MOTokay # Mom'll get your crayons .
    MOT*MOT: there they are .
    CHIthat little one .
    CHIthat ?
  2. 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 .
  3. eng_USA_Brown/eve08.cha, line 222 · Eve, 1;9.
    CHII see you .
    CHII cut .
    COL*COL: what are you going to do ?
    CHII cut scissor(s) .
    CHIyou cut [/] cut paper .
  4. eng_USA_Brown/eve08.cha, line 436 · Eve, 1;9.
    CHImore .
    MOTmore grape juice ?
    MOT*MOT: are you happy now ?
    CHIyeah .
    MOTwell I'm glad .

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_Brown11.33
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/eve08.chaEve 1;9.3534411.33

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. are4 · 100.0%