PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

7.48 per 1,000 words of the child (CHI), in 1 of 1 transcripts (293 utterances, 936 words searched).

  1. an you have a vervop@c . CHI · eng_USA_Demetras_Trevor/tre10.cha, line 1140 · Trevor 2;08
  2. now you're a vervop@c mamods@c . CHI · eng_USA_Demetras_Trevor/tre10.cha, line 1146 · Trevor 2;08
  3. now you have # a vervop@c Minnie mouse . CHI · eng_USA_Demetras_Trevor/tre10.cha, line 1156 · Trevor 2;08
  4. you <ber bop> [: vervop@c] . CHI · eng_USA_Demetras_Trevor/tre10.cha, line 1241 · Trevor 2;08
  5. I'm [//] I don't # make vervop@c cake . CHI · eng_USA_Demetras_Trevor/tre10.cha, line 1292 · Trevor 2;08
  6. you a vervop@c . CHI · eng_USA_Demetras_Trevor/tre10.cha, line 1401 · Trevor 2;08
  7. you're a vervop@c [: football] [?] . CHI · eng_USA_Demetras_Trevor/tre10.cha, line 1419 · Trevor 2;08
  1. FATshe'd much rather have that .
    CHIwe(ll) now Mommy has a fuds [: fudge] cake .
    CHI*CHI: an you have a vervop@c .
    CHIyer [: you're] .
    FATI don't want a vervop@c yer !
  2. CHIyer [: you're] .
    FATI don't want a vervop@c yer !
    CHI*CHI: now you're a vervop@c mamods@c .
    FATa +"/.
    FAT+" vervop@c mamodge@c ?
  3. FAT+" vervop@c mamodge@c ?
    FATwhat is that ?
    CHI*CHI: now you have # a vervop@c Minnie mouse .
    CHIwhoop !
    CHIyucky mordop@c .
  4. CHIwhy ?
    FATcause it fell off .
    CHI*CHI: you <ber bop> [: vervop@c] .
    FATsay, +"/.
    FAT+" where'd you go, mic(rophone) ?
  5. FATI don't make vervop@c cakes .
    CHII'm not gergok@c .
    CHI*CHI: I'm [//] I don't # make vervop@c cake .
    FATyeah !
    FATyou just made one !
  6. FATwhoever transcribes this is gonna have a heck of a time .
    CHIyou wego [: lego] .
    CHI*CHI: you a vervop@c .
    FATI'm not a lego .
    FATthat's the first words I understood in that whole thing .
  7. CHIyou're a <waquet cwub> [: racquet club] .
    FATI'm a racquet club ?
    CHI*CHI: you're a vervop@c [: football] [?] .
    FATyou're a racquet club .
    CHIno .

Matches by age

One dot per transcript: matches per 1,000 words of the child (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. Trevor eng_USA_Demetras_Trevor7.48
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Demetras_Trevor/tre10.chaTrevor 2;8.05936777.48

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. vervop7 · 100.0%