PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

4.27 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (261 utterances, 1,172 words searched).

  1. (a)n(d) you got ta do a cartwheel . MOT · eng_USA_Brown/sarah129.cha, line 233 · Sarah 4;10
  2. you got ta have somethin(g) in your stomach before you have the medicine . MOT · eng_USA_Brown/sarah129.cha, line 406 · Sarah 4;10
  3. Sarah # I think you've got a lot of problems . MOT · eng_USA_Brown/sarah129.cha, line 615 · Sarah 4;10
  4. all you got ta do is use it once # ya know # without the sock gettin(g) filthy . MOT · eng_USA_Brown/sarah129.cha, line 853 · Sarah 4;10
  5. it's better (be)cause you got a cold . MOT · eng_USA_Brown/sarah129.cha, line 876 · Sarah 4;10
  1. eng_USA_Brown/sarah129.cha, line 233 · Sarah, 4;10.27
    CHIyes .
    MOTand jump over the hurdles .
    MOT*MOT: (a)n(d) you got ta do a cartwheel .
    MOT(a)n(d) somethin(g) else # I don't know .
    MOToh that's a terrible one .
  2. eng_USA_Brown/sarah129.cha, line 406 · Sarah, 4;10.27
    MOTare you sure you don't want somethin(g) to eat now ?
    CHII want medicine now .
    MOT*MOT: you got ta have somethin(g) in your stomach before you have the medicine .
    CHII'll think I'll have +...
    MOTwhat would you like ?
  3. eng_USA_Brown/sarah129.cha, line 615 · Sarah, 4;10.27
    CHII'm washin(g) the windows .
    CHIme I'm on a pony # (a)n(d) give me for a ride .
    MOT*MOT: Sarah # I think you've got a lot of problems .
    CHITramp is here !
    MOTTramp # how'd you get in here ?
  4. eng_USA_Brown/sarah129.cha, line 853 · Sarah, 4;10.27
    GAImmhm .
    MOTthe sock pulled .
    MOT*MOT: all you got ta do is use it once # ya know # without the sock gettin(g) filthy .
    GAISarah # would you like to do some drawing ?
    CHIyeah .
  5. eng_USA_Brown/sarah129.cha, line 876 · Sarah, 4;10.27
    CHI0 .
    MOTdraw on the table .
    MOT*MOT: it's better (be)cause you got a cold .
    MOTyou don't wanna get more cold on the floor .
    MOTcome on .

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_Brown4.27
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah129.chaSarah 4;10.271,172554.27

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. got5 · 100.0%