PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

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

  1. d(o) you wanna piece a cheese ? MOT · eng_USA_Brown/eve08.cha, line 397 · Eve 1;09
  2. do you wanna piece a cheese ? MOT · eng_USA_Brown/eve08.cha, line 400 · Eve 1;09
  3. you may have a piece of cheese . MOT · eng_USA_Brown/eve08.cha, line 403 · Eve 1;09
  1. eng_USA_Brown/eve08.cha, line 397 · Eve, 1;9.
    MOTthere'll be tapioca in the bowl in a minute .
    MOTwe have to cook it first .
    MOT*MOT: d(o) you wanna piece a cheese ?
    MOTdo you wanna piece a cheese ?
    MOTyou may have a piece of cheese .
  2. eng_USA_Brown/eve08.cha, line 400 · Eve, 1;9.
    MOTwe have to cook it first .
    MOTd(o) you wanna piece a cheese ?
    MOT*MOT: do you wanna piece a cheese ?
    MOTyou may have a piece of cheese .
    MOThere .
  3. eng_USA_Brown/eve08.cha, line 403 · Eve, 1;9.
    MOTd(o) you wanna piece a cheese ?
    MOTdo you wanna piece a cheese ?
    MOT*MOT: you may have a piece of cheese .
    MOThere .
    CHI<no no no> [/] no .

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_Brown8.50
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/eve08.chaEve 1;9.353338.50

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. cheese3 · 100.0%