PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

6.29 per 1,000 words of the child (CHI), in 1 of 1 transcripts (585 utterances, 1,113 words searched).

  1. all fall down . CHI · eng_USA_Brown/sarah030.cha, line 528 · Sarah 2;09
  2. all better . CHI · eng_USA_Brown/sarah030.cha, line 651 · Sarah 2;09
  3. out # he all gone . CHI · eng_USA_Brown/sarah030.cha, line 1299 · Sarah 2;09
  4. he went # all fall down . CHI · eng_USA_Brown/sarah030.cha, line 1306 · Sarah 2;09
  5. where my all my money ? CHI · eng_USA_Brown/sarah030.cha, line 1586 · Sarah 2;09
  6. I got # all a pennies # see ? CHI · eng_USA_Brown/sarah030.cha, line 1709 · Sarah 2;09
  7. all up here . CHI · eng_USA_Brown/sarah030.cha, line 3153 · Sarah 2;09
  1. CHIBobo@f clown .
    MOTwhy don't you sit on the floor and sing a song into that button for Daddy .
    CHI*CHI: all fall down .
    MOTyou fall down # and what ?
    MOTI fall down and go # boom !
  2. MOTit feels good now ?
    MOTall better uhhuh .
    CHI*CHI: all better .
    MOTthat's good .
    CHIxxx .
  3. CHIno .
    MOTwhat happened to Mike ?
    CHI*CHI: out # he all gone .
    MOTI know # but what happened to poor Mike ?
    MOTwhere did he go ?
  4. MOTI know # but what happened to poor Mike ?
    MOTwhere did he go ?
    CHI*CHI: he went # all fall down .
    MOTyou gonna sing another song ?
    MOTwhere are you going ?
  5. MOTit's real money .
    CHI<where my> [/] where my money ?
    CHI*CHI: where my all my money ?
    CHIwhere my own ?
    CHII find xxx .
  6. CHIyeah .
    CHII got money ?
    CHI*CHI: I got # all a pennies # see ?
    MOTyeah # how about giving Unc(le) +...
    MOTcan I have a penny ?
  7. FATlook at that knee .
    FATis there any dirt left downstairs # huh # or is it all up here ?
    CHI*CHI: all up here .
    FATyou like this # huh ?
    CHII like dat c(l)o(th) [?] .

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. Sarah eng_USA_Brown6.29
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah030.chaSarah 2;9.201,113776.29

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. all7 · 100.0%