PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

2.42 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (554 utterances, 2,480 words searched).

  1. more ? MOT · eng_USA_Valian/17a.cha, line 478 · 17A 2;05
  2. do more . MOT · eng_USA_Valian/17a.cha, line 527 · 17A 2;05
  3. do more [% mocking CHI] . MOT · eng_USA_Valian/17a.cha, line 529 · 17A 2;05
  4. you wanna look at the book some more ? MOT · eng_USA_Valian/17a.cha, line 598 · 17A 2;05
  5. it's just that it's, it's one more thing to talk about . INV · eng_USA_Valian/17a.cha, line 998 · 17A 2;05
  6. yup, I don't have much more tape in mine . INV · eng_USA_Valian/17a.cha, line 1728 · 17A 2;05
  1. eng_USA_Valian/17a.cha, line 478 · 17A, 2;5.14
    CHImore [% excited] ?
    INVhow did that happen to you ?
    MOT*MOT: more ?
    CHImore ?
    MOTwhat are you gonna name your porcupine, bud ?
  2. eng_USA_Valian/17a.cha, line 527 · 17A, 2;5.14
    MOTChild, are you upside down ?
    CHIdo more .
    MOT*MOT: do more .
    MOTdo more [% mocking CHI] .
    CHIyou do more [% inv and CHI laugh] .
  3. eng_USA_Valian/17a.cha, line 529 · 17A, 2;5.14
    CHIdo more .
    MOTdo more .
    MOT*MOT: do more [% mocking CHI] .
    CHIyou do more [% inv and CHI laugh] .
    INV[- pause with inv and CHI laughing] are your feet getting tired ?
  4. eng_USA_Valian/17a.cha, line 598 · 17A, 2;5.14
    CHIelephant .
    MOTyeah, that's your elephant .
    MOT*MOT: you wanna look at the book some more ?
    CHIyeah .
    MOTwhat do you wanna read in the book ?
  5. eng_USA_Valian/17a.cha, line 998 · 17A, 2;5.14
    INVno, no .
    INVit's not important .
    INV*INV: it's just that it's, it's one more thing to talk about .
    INVbut he's finding plenty .
    MOToh yes, there are lots of things to talk about .
  6. eng_USA_Valian/17a.cha, line 1728 · 17A, 2;5.14
    MOTyeah .
    INVmy tape's almost done .
    INV*INV: yup, I don't have much more tape in mine .
    MOTis he gonna yell at him again [% referring to the Chipmunk tape] ?
    CHIyeah, he hit em again .

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. 17A eng_USA_Valian2.42
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Valian/17a.cha17A 2;5.142,480662.42

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. more6 · 100.0%