PHPCLANCHILDES with regular expressions

14 matches in 14 utterances

4.31 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (714 utterances, 3,251 words searched).

  1. and where's your big pockets ? MOT · eng_USA_Valian/17b.cha, line 144 · 17B 2;05
  2. [- CHI shows big pockets] oh, look at that . INV · eng_USA_Valian/17b.cha, line 151 · 17B 2;05
  3. you have big pockets too . INV · eng_USA_Valian/17b.cha, line 153 · 17B 2;05
  4. so the, the big coat is for when it's really cold . INV · eng_USA_Valian/17b.cha, line 184 · 17B 2;05
  5. you are getting big teeth in the back . MOT · eng_USA_Valian/17b.cha, line 197 · 17B 2;05
  6. isn't this big enough ? MOT · eng_USA_Valian/17b.cha, line 450 · 17B 2;05
  7. you do the big one . MOT · eng_USA_Valian/17b.cha, line 454 · 17B 2;05
  8. big as I can make it . MOT · eng_USA_Valian/17b.cha, line 476 · 17B 2;05
  9. the big one what ? MOT · eng_USA_Valian/17b.cha, line 759 · 17B 2;05
  10. the big dark what ? MOT · eng_USA_Valian/17b.cha, line 763 · 17B 2;05
  11. my big coat, no . INV · eng_USA_Valian/17b.cha, line 1154 · 17B 2;05
  12. it's not as heavy as the big coat . INV · eng_USA_Valian/17b.cha, line 1183 · 17B 2;05
  13. yeah, those are the big ones . MOT · eng_USA_Valian/17b.cha, line 1397 · 17B 2;05
  14. you are a big boy . MOT · eng_USA_Valian/17b.cha, line 1524 · 17B 2;05
  1. INVoh, ok .
    MOTyou got little ones .
    MOT*MOT: and where's your big pockets ?
    CHIover here .
    MOTlet me see em .
  2. CHIover here .
    MOTlet me see em .
    INV*INV: [- CHI shows big pockets] oh, look at that .
    INVyou have big pockets too .
    INVdo you remember what this is ?
  3. MOTlet me see em .
    INV[- CHI shows big pockets] oh, look at that .
    INV*INV: you have big pockets too .
    INVdo you remember what this is ?
    CHIyeah .
  4. MOTxxx fur .
    INVI, well, I have this jacket, cause it's not so cold today .
    INV*INV: so the, the big coat is for when it's really cold .
    CHIyeah .
    MOT[- imitating CHI's tone] yeah .
  5. CHIxxx .
    MOTChild, can I wipe your face ?
    MOT*MOT: you are getting big teeth in the back .
    MOTdon't touch, please .
    CHIwhat's this ?
  6. CHIgreen eyes .
    CHImake a bigger one [% command] .
    MOT*MOT: isn't this big enough ?
    CHII gonna make a bigger one .
    MOTyou do the big one .
  7. MOTisn't this big enough ?
    CHII gonna make a bigger one .
    MOT*MOT: you do the big one .
    CHImake a biggest one [% command] .
    CHImake the biggest one [% command] .
  8. CHIlook at this one !
    INVwow, that's huge one !
    MOT*MOT: big as I can make it .
    CHImommy, mommy, mommy, make, make him big eyes [% command] .
    MOTI don't wanna make orange eyes .
  9. INVoh, I missed you terribly .
    CHIwhere's the big one ?
    MOT*MOT: the big one what ?
    CHIwhere's the big dark one ?
    MOTthe big dark what ?
  10. MOTthe big one what ?
    CHIwhere's the big dark one ?
    MOT*MOT: the big dark what ?
    CHIwhere's the dark picture ?
    INVdark picture ?
  11. INVI don't have my what ?
    CHIhave your big coat on .
    INV*INV: my big coat, no .
    INVno, I left it home .
    MOTdid you like the coat ?
  12. INVthat's, that's my, my little coat .
    CHIxxx .
    INV*INV: it's not as heavy as the big coat .
    INVwhoa .
    MOTyes, now what ?
  13. MOTthese are shorter ones .
    CHIthis is the big ones .
    MOT*MOT: yeah, those are the big ones .
    MOTcan you find his tail in there ?
    MOThas he got a tail ?
  14. MOTyou're what ?
    CHII'm a big boy .
    MOT*MOT: you are a big boy .
    CHI[- to inv] I'm a big boy .
    INVyes, you are .

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. 17B eng_USA_Valian4.31
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Valian/17b.cha17B 2;5.213,25114144.31

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. big14 · 100.0%