PHPCLANCHILDES with regular expressions

9 matches in 9 utterances

4.13 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (939 utterances, 2,180 words searched).

  1. I no know xx . SAR · eng_USA_Brown/sarah018.cha, line 571
  2. I know . SAR · eng_USA_Brown/sarah018.cha, line 631
  3. how does she know how to iron ? FAT · eng_USA_Brown/sarah018.cha, line 1015
  4. I know xx . SAR · eng_USA_Brown/sarah018.cha, line 1078
  5. no know . SAR · eng_USA_Brown/sarah018.cha, line 1086
  6. you know what ? FAT · eng_USA_Brown/sarah018.cha, line 1839
  7. no know . SAR · eng_USA_Brown/sarah018.cha, line 1919
  8. I don't know . FAT · eng_USA_Brown/sarah018.cha, line 2055
  9. you know what she was sayin(g) ? MOT · eng_USA_Brown/sarah018.cha, line 2139
  1. SARme broke it .
    FATwhat happened to the strings ?
    SAR*SAR: I no know xx .
    FATthey gone ?
    SARgone .
  2. SARin (th)ere .
    FATwell # where do I keep my money ?
    SAR*SAR: I know .
    FATwhere's my money ?
    SARright here .
  3. SARdadadadadadada@b .
    SARdadadadadada@b .
    FAT*FAT: how does she know how to iron ?
    FAThuh ?
    MOTwww .
  4. FATyou broke it .
    FATwhat's it called ?
    SAR*SAR: I know xx .
    FATa piano .
    SARpiano .
  5. SARpiano .
    FATwho xx ?
    SAR*SAR: no know .
    FATwho took them off ?
    SARme .
  6. FATChatty # little Chatty_Baby_Brother .
    SARyy .
    FAT*FAT: you know what ?
    SARxx where Michael ?
    SARxx gone byebye ?
  7. SARxx Michael ?
    FATwhere's his eyes ?
    SAR*SAR: no know .
    FAThow can he see ?
    FATwhat if I took your eyes .
  8. SARright here .
    MOTwhere is it ?
    FAT*FAT: I don't know .
    FATunder the couch probably .
    SAR0 .
  9. FAThey # where's all your books ?
    SARoh yy .
    MOT*MOT: you know what she was sayin(g) ?
    MOT<here's my glass> ["] .
    FAToh # here's a book .

Matches by child

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

  1. Sarah eng_USA_Brown4.13
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah018.chaSarah 2,180994.13

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. know9 · 100.0%