PHPCLANCHILDES with regular expressions

4 matches in 4 utterances

2.34 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (389 utterances, 1,706 words searched).

  1. I'm flattered . MEL · eng_USA_Brown/sarah115.cha, line 95 · Sarah 4;06
  2. I'm not gonna win ? MOT · eng_USA_Brown/sarah115.cha, line 1246 · Sarah 4;06
  3. I bet I'm gonna win . MOT · eng_USA_Brown/sarah115.cha, line 1363 · Sarah 4;06
  4. I bet I'm gonna win . MOT · eng_USA_Brown/sarah115.cha, line 1367 · Sarah 4;06
  1. CHIMelissa .
    CHII'm making her picture scribbled .
    MEL*MEL: I'm flattered .
    CHI(be)cause <you got a awf(ul)> [//] <you got a black> [/] <you got a black> [/] you got a black skirt .
    MELoh # and that's why you're putting black all over me ?
  2. MOTmm +...
    CHIyou're not gonna win this time .
    MOT*MOT: I'm not gonna win ?
    MOToh # I bet I can win .
    CHIoh I bet I [?] could win .
  3. CHIoh .
    MOTwhoop !
    MOT*MOT: I bet I'm gonna win .
    CHIhuh ?
    MOTI bet I'm gonna win .
  4. MOTI bet I'm gonna win .
    CHIhuh ?
    MOT*MOT: I bet I'm gonna win .
    CHIis this the top ?
    MOTthat's the top # that's the middle # and that's the bottom .

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. Sarah eng_USA_Brown2.34
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah115.chaSarah 4;6.241,706442.34

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'm4 · 100.0%