PHPCLANCHILDES with regular expressions

8 matches in 8 utterances

8.21 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (281 utterances, 974 words searched).

  1. wanna take it apart first ? MOT · eng_USA_Bliss/norjusti.cha, line 10 · Justin 4;06
  2. do you wanna read this book ? MOT · eng_USA_Bliss/norjusti.cha, line 121 · Justin 4;06
  3. okay you wanna look at this book ? MOT · eng_USA_Bliss/norjusti.cha, line 228 · Justin 4;06
  4. you wanna go all the way to a hundred ? MOT · eng_USA_Bliss/norjusti.cha, line 577 · Justin 4;06
  5. what do you wanna do now ? MOT · eng_USA_Bliss/norjusti.cha, line 982 · Justin 4;06
  6. wanna do the puzzle again ? MOT · eng_USA_Bliss/norjusti.cha, line 985 · Justin 4;06
  7. how many do you wanna get this time ? FAT · eng_USA_Bliss/norjusti.cha, line 1102 · Justin 4;06
  8. well you wanna do it better do it ! FAT · eng_USA_Bliss/norjusti.cha, line 1237 · Justin 4;06
  1. MOT*MOT: wanna take it apart first ?
    CHIright here +...
    MOThow do you get it out ?
  2. CHIuhuh .
    MOT0 .
    MOT*MOT: do you wanna read this book ?
    CHIno .
    MOTokay .
  3. MOTwould you like to put that one in ?
    CHIno .
    MOT*MOT: okay you wanna look at this book ?
    CHIyeah no .
    MOThuh ?
  4. MOTis it the kitty ?
    CHIkitty kitty kitty giddy giddy giddy .
    MOT*MOT: you wanna go all the way to a hundred ?
    CHIyeah .
    MOTokay .
  5. CHIyeah .
    MOTokay .
    MOT*MOT: what do you wanna do now ?
    MOTwanna do the puzzle again ?
    CHII wanna look at this .
  6. MOTokay .
    MOTwhat do you wanna do now ?
    MOT*MOT: wanna do the puzzle again ?
    CHII wanna look at this .
    MOTI think it looks like a lemon .
  7. FAThow many should we use this time ?
    CHIwhat ?
    FAT*FAT: how many do you wanna get this time ?
    FATjust a few ?
    CHIwhat ?
  8. CHIyeah .
    CHIyou're doing it crooked .
    FAT*FAT: well you wanna do it better do it !
    CHIthose are crooked !
    FATwell go ahead !

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. Justin eng_USA_Bliss8.21
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Bliss/norjusti.chaJustin 4;06.974888.21

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. wanna8 · 100.0%