PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

7.37 per 1,000 words of the child (CHI), in 1 of 1 transcripts (284 utterances, 950 words searched).

  1. I'm making her picture scribbled . CHI · eng_USA_Brown/sarah115.cha, line 92 · Sarah 4;06
  2. no # I'm just +... CHI · eng_USA_Brown/sarah115.cha, line 303 · Sarah 4;06
  3. I'm gonna go like this . CHI · eng_USA_Brown/sarah115.cha, line 307 · Sarah 4;06
  4. I [?] think [?] I'm gonna write all over the place . CHI · eng_USA_Brown/sarah115.cha, line 722 · Sarah 4;06
  5. when I grow up I'm goin(g) still write on everything . CHI · eng_USA_Brown/sarah115.cha, line 742 · Sarah 4;06
  6. I'm goin(g) get x@l all the time . CHI · eng_USA_Brown/sarah115.cha, line 1067 · Sarah 4;06
  7. I'm goin(g) put it +... CHI · eng_USA_Brown/sarah115.cha, line 1283 · Sarah 4;06
  1. GAIwhat did you say ?
    CHIMelissa .
    CHI*CHI: I'm making her picture scribbled .
    MELI'm flattered .
    CHI(be)cause <you got a awf(ul)> [//] <you got a black> [/] <you got a black> [/] you got a black skirt .
  2. CHIdon't # really fight .
    MOTyou don't wanna really fight ?
    CHI*CHI: no # I'm just +...
    MOTwhat ?
    CHII'm gonna go like this .
  3. CHIno # I'm just +...
    MOTwhat ?
    CHI*CHI: I'm gonna go like this .
    MOTwhat ?
    MOTshow me .
  4. MELwhy did she hit you # Sarah ?
    CHIbecause I don't like her .
    CHI*CHI: I [?] think [?] I'm gonna write all over the place .
    GAIyou feel like you're gonna write all over the place ?
    CHIon the windows (a)n(d) everything .
  5. MOTalright .
    MOTI'll give you a spankin(g) .
    CHI*CHI: when I grow up I'm goin(g) still write on everything .
    MOTreally ?
    MOTyou're gonna run away # too ?
  6. CHII winned [*] [: won] .
    CHIfirst I go .
    CHI*CHI: I'm goin(g) get x@l all the time .
    CHIx@l .
    CHIhere .
  7. CHIwhoop [/] # whoop .
    MOTwhere you gonna put it so you can have three in a row ?
    CHI*CHI: I'm goin(g) put it +...
    MOTnow look at it # here it is # right here .
    MOTyou have two zeroes here .

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_Brown7.37
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah115.chaSarah 4;6.24950777.37

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. i'm7 · 100.0%