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. he has sugar # Eve . MOT · eng_USA_Brown/eve08.cha, line 103 · Eve 1;09
  2. no # he's not at Emerson making pennies . MOT · eng_USA_Brown/eve08.cha, line 150 · Eve 1;09
  3. where'd he go ? MOT · eng_USA_Brown/eve08.cha, line 155 · Eve 1;09
  1. eng_USA_Brown/eve08.cha, line 103 · Eve, 1;9.
    MOTlook in his coffee cup .
    CHIsugar .
    MOT*MOT: he has sugar # Eve .
    CHIa@l b@l c@l .
    COLwe're not ready to turn yet .
  2. eng_USA_Brown/eve08.cha, line 150 · Eve, 1;9.
    MOTwhere is Papa ?
    CHIEmma make penny .
    MOT*MOT: no # he's not at Emerson making pennies .
    MOTwhere'd he go ?
    CHIChicago .
  3. eng_USA_Brown/eve08.cha, line 155 · Eve, 1;9.
    CHIEmma make penny .
    MOTno # he's not at Emerson making pennies .
    MOT*MOT: where'd he go ?
    CHIChicago .
    MOTChicago .

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. he3 · 100.0%