PHPCLANCHILDES with regular expressions

12 matches in 10 utterances

13.97 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (234 utterances, 859 words searched).

  1. how many have I got ? MOT · eng_USA_Brown/sarah039.cha, line 145 · Sarah 2;11
  2. I [/] # I didn't come to your party . MOT · eng_USA_Brown/sarah039.cha, line 370 · Sarah 2;11
  3. I [/] # I didn't come to your party . MOT · eng_USA_Brown/sarah039.cha, line 370 · Sarah 2;11
  4. I know the bees . MOT · eng_USA_Brown/sarah039.cha, line 534 · Sarah 2;11
  5. I don't know # what's his name ? MOT · eng_USA_Brown/sarah039.cha, line 661 · Sarah 2;11
  6. I don't know . MOT · eng_USA_Brown/sarah039.cha, line 668 · Sarah 2;11
  7. I don't think that's his name . MOT · eng_USA_Brown/sarah039.cha, line 676 · Sarah 2;11
  8. I like a baby that works . MOT · eng_USA_Brown/sarah039.cha, line 771 · Sarah 2;11
  9. I don't know where we're gonna put them all when they come home . MOT · eng_USA_Brown/sarah039.cha, line 784 · Sarah 2;11
  10. what'd I tell you it was ? MOT · eng_USA_Brown/sarah039.cha, line 924 · Sarah 2;11
  11. if I get up I'll slap you . MOT · eng_USA_Brown/sarah039.cha, line 947 · Sarah 2;11
  12. if I get up I'll slap you . MOT · eng_USA_Brown/sarah039.cha, line 947 · Sarah 2;11
  1. eng_USA_Brown/sarah039.cha, line 145 · Sarah, 2;11.30
    MOThow many is that # count em .
    MOTcount em all on my fingers .
    MOT*MOT: how many have I got ?
    MOTone +...
    CHIone .
  2. eng_USA_Brown/sarah039.cha, line 370 · Sarah, 2;11.30
    MOTno .
    CHIyeah .
    MOT*MOT: I [/] # I didn't come to your party .
    MOTwhen was your party ?
    CHIum [/] # um # (va)cation .
  3. eng_USA_Brown/sarah039.cha, line 534 · Sarah, 2;11.30
    MOTyour what ?
    CHIbees .
    MOT*MOT: I know the bees .
    MOTon your what ?
    MOTyour [//] # on your belly ?
  4. eng_USA_Brown/sarah039.cha, line 661 · Sarah, 2;11.30
    CHIwhat's that ?
    MOTlet's see # what's his name ?
    MOT*MOT: I don't know # what's his name ?
    CHIum +...
    MOTyou know .
  5. eng_USA_Brown/sarah039.cha, line 668 · Sarah, 2;11.30
    CHIum +...
    MOTyou know .
    MOT*MOT: I don't know .
    CHIBoo !
    MOTwhat's his name ?
  6. eng_USA_Brown/sarah039.cha, line 676 · Sarah, 2;11.30
    MOTwhat's his name ?
    CHIBoo xxx .
    MOT*MOT: I don't think that's his name .
    MOTyou're right .
    MOTboo .
  7. eng_USA_Brown/sarah039.cha, line 771 · Sarah, 2;11.30
    CHIMummy # you use [?] it .
    MOTwell # she don't work !
    MOT*MOT: I like a baby that works .
    MOThaven't you got any babies around here that work # or are they all down at the the beach ?
    MOThow many dollies have you got down (a)t the beach ?
  8. eng_USA_Brown/sarah039.cha, line 784 · Sarah, 2;11.30
    CHIfour !
    MOTmore than four .
    MOT*MOT: I don't know where we're gonna put them all when they come home .
    CHIyeah .
    MOTwhat're you doing ?
  9. eng_USA_Brown/sarah039.cha, line 924 · Sarah, 2;11.30
    MOTno .
    CHIwhat ?
    MOT*MOT: what'd I tell you it was ?
    CHIa saucer .
    MOTno # a saw .
  10. eng_USA_Brown/sarah039.cha, line 947 · Sarah, 2;11.30
    CHIvery hard .
    MOThey !
    MOT*MOT: if I get up I'll slap you .
    MOTwant a whippin(g) ?
    CHIuhuh .

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_Brown13.97
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah039.chaSarah 2;11.30859101213.97

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. i12 · 100.0%