PHPCLANCHILDES with regular expressions

7 matches in 6 utterances

5.54 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (309 utterances, 1,264 words searched).

  1. you can have cake and you can have bananas . MOT · eng_USA_Brown/sarah009.cha, line 15 · Sarah 2;04
  2. you can have cake and you can have bananas . MOT · eng_USA_Brown/sarah009.cha, line 15 · Sarah 2;04
  3. and you can have everything in a few minutes . MOT · eng_USA_Brown/sarah009.cha, line 18 · Sarah 2;04
  4. you can have a banana in one minute . MOT · eng_USA_Brown/sarah009.cha, line 31 · Sarah 2;04
  5. when you get to be a big girl you can go to school too . MOT · eng_USA_Brown/sarah009.cha, line 659 · Sarah 2;04
  6. why can't you have nice curls . MOT · eng_USA_Brown/sarah009.cha, line 833 · Sarah 2;04
  7. why can't you have nice curls . MOT · eng_USA_Brown/sarah009.cha, line 839 · Sarah 2;04
  1. eng_USA_Brown/sarah009.cha, line 15 · Sarah, 2;4.17
    CHIa cake .
    MOT*MOT: you can have cake and you can have bananas .
    MOTand you can have everything in a few minutes .
    MOTlet me get you dressed .
  2. eng_USA_Brown/sarah009.cha, line 18 · Sarah, 2;4.17
    CHIa cake .
    MOTyou can have cake and you can have bananas .
    MOT*MOT: and you can have everything in a few minutes .
    MOTlet me get you dressed .
    MOTyou're xxx .
  3. eng_USA_Brown/sarah009.cha, line 31 · Sarah, 2;4.17
    MOTyeah .
    CHIxxx ?
    MOT*MOT: you can have a banana in one minute .
    MOTthat's yours # yeah .
    MOTxxx .
  4. eng_USA_Brown/sarah009.cha, line 659 · Sarah, 2;4.17
    MOTyeah .
    CHICarol .
    MOT*MOT: when you get to be a big girl you can go to school too .
    CHI0 .
    MOTyou have to get to be a big girl though .
  5. eng_USA_Brown/sarah009.cha, line 833 · Sarah, 2;4.17
    MOTxxx .
    MOToh # Sarah .
    MOT*MOT: why can't you have nice curls .
    MOThmm ?
    MOToh # Sarah .
  6. eng_USA_Brown/sarah009.cha, line 839 · Sarah, 2;4.17
    MOThmm ?
    MOToh # Sarah .
    MOT*MOT: why can't you have nice curls .
    MOThmm ?
    GLOxxx cutting her hair ?

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_Brown5.54
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah009.chaSarah 2;4.171,264675.54

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. can7 · 100.0%