PHPCLANCHILDES with regular expressions

9 matches in 8 utterances

7.07 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (621 utterances, 1,273 words searched).

  1. <where's your> [//] where's the kitty ? MOT · eng_USA_Brown/sarah002.cha, line 345
  2. <where's your> [//] where's the kitty ? MOT · eng_USA_Brown/sarah002.cha, line 345
  3. where's the momma ? MOT · eng_USA_Brown/sarah002.cha, line 1086
  4. where kitty . SAR · eng_USA_Brown/sarah002.cha, line 1205
  5. where kitty ? SAR · eng_USA_Brown/sarah002.cha, line 1217
  6. where kitty ? SAR · eng_USA_Brown/sarah002.cha, line 1219
  7. where kitty ? SAR · eng_USA_Brown/sarah002.cha, line 1224
  8. where's it go ? MOT · eng_USA_Brown/sarah002.cha, line 1353
  9. where ya going ? MOT · eng_USA_Brown/sarah002.cha, line 1357
  1. eng_USA_Brown/sarah002.cha, line 345
    SARmy little kitty .
    MOTyour little kitty .
    MOT*MOT: <where's your> [//] where's the kitty ?
    SARkitty gone .
    MOTthe kitty over (a)t Nana's ?
  2. eng_USA_Brown/sarah002.cha, line 1086
    MOTyou read # you pick out the things in the book .
    SARread xx .
    MOT*MOT: where's the momma ?
    MOTwell who's that ?
    SARa mommy .
  3. eng_USA_Brown/sarah002.cha, line 1205
    SARxx .
    SARkitty .
    SAR*SAR: where kitty .
    SARxx kitty .
    MOTxx .
  4. eng_USA_Brown/sarah002.cha, line 1217
    MOTkey .
    SAR&d &t &d &t .
    SAR*SAR: where kitty ?
    SARwhere kitty ?
    MOTwhat ?
  5. eng_USA_Brown/sarah002.cha, line 1219
    SAR&d &t &d &t .
    SARwhere kitty ?
    SAR*SAR: where kitty ?
    MOTwhat ?
    SARwhere kitty ?
  6. eng_USA_Brown/sarah002.cha, line 1224
    SARwhere kitty ?
    MOTwhat ?
    SAR*SAR: where kitty ?
    MOTkeys .
    SARxx .
  7. eng_USA_Brown/sarah002.cha, line 1353
    MOTwhat .
    SARI'm going .
    MOT*MOT: where's it go ?
    SARI'm going .
    MOTwhere ya going ?
  8. eng_USA_Brown/sarah002.cha, line 1357
    MOTwhere's it go ?
    SARI'm going .
    MOT*MOT: where ya going ?
    MOThmm ?
    SARMommy .

Matches by child

Matches per 1,000 words, all transcripts of each child together, highest first.

  1. Sarah eng_USA_Brown7.07
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah002.chaSarah 1,273897.07

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. where9 · 100.0%