PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

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

  1. it listens to what we say and then I take it home, and that's how I can remember what we said . INV · eng_USA_Valian/17a.cha, line 15 · 17A 2;05
  2. how can you tell ? MOT · eng_USA_Valian/17a.cha, line 367 · 17A 2;05
  3. how did that happen to you ? INV · eng_USA_Valian/17a.cha, line 476 · 17A 2;05
  4. how important is it that he looks at your book ? MOT · eng_USA_Valian/17a.cha, line 991 · 17A 2;05
  5. um, how (a)bout the porcupine ? MOT · eng_USA_Valian/17a.cha, line 1303 · 17A 2;05
  6. no no, now, is that how you open it ? MOT · eng_USA_Valian/17a.cha, line 1493 · 17A 2;05
  7. how (a)bout, if I have enough, I can make em go down too . MOT · eng_USA_Valian/17a.cha, line 1776 · 17A 2;05
  1. INVwell, you know what it does ?
    INV*INV: it listens to what we say and then I take it home, and that's how I can remember what we said .
    CHIand it sings .
    INVwell, sometimes, if I put the right kind of tape in it sings .
  2. MOTit's just like her ?
    CHIit's just like you .
    MOT*MOT: how can you tell ?
    MOTthat's just a hand .
    CHIxxx .
  3. INVboom .
    CHImore [% excited] ?
    INV*INV: how did that happen to you ?
    MOTmore ?
    CHImore ?
  4. CHIno, no, no, no .
    MOTno, no, no, no ?
    MOT*MOT: how important is it that he looks at your book ?
    INVno, no .
    INVit's not important .
  5. MOTyou could do that .
    CHInot the elephant .
    MOT*MOT: um, how (a)bout the porcupine ?
    INV[- whispers] what about the porcupine ?
    INVold green eyes .
  6. INVgreat .
    CHIyeah xxx .
    MOT*MOT: no no, now, is that how you open it ?
    MOTpush .
    MOTis it in there ?
  7. MOTmake em go higher ?
    CHImommy, make em go higher .
    MOT*MOT: how (a)bout, if I have enough, I can make em go down too .
    INVo:h, that'll be good .
    CHIno [% annoyed] !

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_Valian2.82
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Valian/17a.cha17A 2;5.142,480772.82

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. how7 · 100.0%