PHPCLANCHILDES with regular expressions

9 matches in 9 utterances

10.20 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (244 utterances, 882 words searched).

  1. what's your teacher's name ? GLO · eng_USA_Brown/sarah024.cha, line 437 · Sarah 2;08
  2. what's the teacher's name ? MOT · eng_USA_Brown/sarah024.cha, line 441 · Sarah 2;08
  3. what's your dog's name ? MOT · eng_USA_Brown/sarah024.cha, line 674 · Sarah 2;08
  4. what her name ? MOT · eng_USA_Brown/sarah024.cha, line 880 · Sarah 2;08
  5. what's her name ? MOT · eng_USA_Brown/sarah024.cha, line 883 · Sarah 2;08
  6. what's her name ? MOT · eng_USA_Brown/sarah024.cha, line 889 · Sarah 2;08
  7. sure # she's got a name . MOT · eng_USA_Brown/sarah024.cha, line 893 · Sarah 2;08
  8. her name is what ? MOT · eng_USA_Brown/sarah024.cha, line 895 · Sarah 2;08
  9. what's the dollie's name # that dollie ? MOT · eng_USA_Brown/sarah024.cha, line 1346 · Sarah 2;08
  1. CHIyou .
    CHIyou .
    GLO*GLO: what's your teacher's name ?
    CHIum .
    MOTwhat's the teacher's name ?
  2. GLOwhat's your teacher's name ?
    CHIum .
    MOT*MOT: what's the teacher's name ?
    CHIum .
    CHIxxx .
  3. CHImy neck xxx .
    CHIxxx my dog a dere .
    MOT*MOT: what's your dog's name ?
    CHIMichael .
    CHIxxx .
  4. CHII yyy eyes .
    CHIxxx .
    MOT*MOT: what her name ?
    MOTwhat's her name ?
    CHIxxx .
  5. CHIxxx .
    MOTwhat her name ?
    MOT*MOT: what's her name ?
    CHIxxx .
    CHIum .
  6. CHIxxx .
    CHIum .
    MOT*MOT: what's her name ?
    CHIxxx ?
    MOTsure # she's got a name .
  7. MOTwhat's her name ?
    CHIxxx ?
    MOT*MOT: sure # she's got a name .
    MOTher name is what ?
    MOTChatt(y) what ?
  8. CHIxxx ?
    MOTsure # she's got a name .
    MOT*MOT: her name is what ?
    MOTChatt(y) what ?
    CHIChatty_Baby_Brother .
  9. MOTwww .
    CHIxxx .
    MOT*MOT: what's the dollie's name # that dollie ?
    MOTthat Hedda ?
    CHIHedda .

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. Sarah eng_USA_Brown10.20
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah024.chaSarah 2;8.028829910.20

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. name9 · 100.0%