PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

2.33 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (515 utterances, 2,572 words searched).

  1. you must have been so hungry # Adam . URS · eng_USA_Brown/adam35.cha, line 47 · Adam 3;08
  2. so you can turn the train around in two places . URS · eng_USA_Brown/adam35.cha, line 195 · Adam 3;08
  3. I should think so . MOT · eng_USA_Brown/adam35.cha, line 624 · Adam 3;08
  4. don't you think so ? MOT · eng_USA_Brown/adam35.cha, line 733 · Adam 3;08
  5. let's move it over so we have more room . URS · eng_USA_Brown/adam35.cha, line 980 · Adam 3;08
  6. how did your hands get so dirty ? MOT · eng_USA_Brown/adam35.cha, line 1100 · Adam 3;08
  1. eng_USA_Brown/adam35.cha, line 47 · Adam, 3;8.01
    MOTdid you tell her that you ate lunch at school and you came home and you ate Mommy's lunch ?
    CHIyeah .
    URS*URS: you must have been so hungry # Adam .
    CHIyeah .
    CHIMommy # she said # how I must # be so hungry .
  2. eng_USA_Brown/adam35.cha, line 195 · Adam, 3;8.01
    CHII don't know .
    CHIwhy you have two of dese ?
    URS*URS: so you can turn the train around in two places .
    MOTdid you tell Urs(u)la what we did Sunday # Adam ?
    CHII made a snowman .
  3. eng_USA_Brown/adam35.cha, line 624 · Adam, 3;8.01
    MOTyes .
    CHIlike dis ?
    MOT*MOT: I should think so .
    CHII can't .
    CHII don't know +...
  4. eng_USA_Brown/adam35.cha, line 733 · Adam, 3;8.01
    MOTit doesn't seem to .
    MOTI think that's a different train .
    MOT*MOT: don't you think so ?
    CHIit's pulls it .
    CHIwhat goes first ?
  5. eng_USA_Brown/adam35.cha, line 980 · Adam, 3;8.01
    URSit's hard .
    CHImore track .
    URS*URS: let's move it over so we have more room .
    CHII goin(g) get my other train .
    CHIwe getting set to go .
  6. eng_USA_Brown/adam35.cha, line 1100 · Adam, 3;8.01
    CHII took dis out .
    CHIput it back on .
    MOT*MOT: how did your hands get so dirty ?
    CHII don't know .
    CHIis dis de wrong way ?

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. Adam eng_USA_Brown2.33
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/adam35.chaAdam 3;8.012,572662.33

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. so6 · 100.0%