PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

12.24 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (59 utterances, 245 words searched).

  1. I think that Bugs_Bunny . MEL · eng_USA_Brown/sarah084.cha, line 212 · Sarah 3;11
  2. I know # but Jo_Anne's movin(g) sooner than you [/] # you are . MOT · eng_USA_Brown/sarah084.cha, line 257 · Sarah 3;11
  3. I know you are there . MOT · eng_USA_Brown/sarah084.cha, line 307 · Sarah 3;11
  1. eng_USA_Brown/sarah084.cha, line 212 · Sarah, 3;11.09
    MELwhat's up # doc .
    MOTsomething new .
    MEL*MEL: I think that Bugs_Bunny .
    CHIyyy on yyy .
    CHIwhat's up doc ?
  2. eng_USA_Brown/sarah084.cha, line 257 · Sarah, 3;11.09
    MOTy(ou) know # Jo_Anne is movin(g) .
    CHII am too .
    MOT*MOT: I know # but Jo_Anne's movin(g) sooner than you [/] # you are .
    MOTJo_Anne's movin(g) next month .
    MOTyou won't see her xxx she's movin(g) far away .
  3. eng_USA_Brown/sarah084.cha, line 307 · Sarah, 3;11.09
    MOTwhat !
    CHIright here !
    MOT*MOT: I know you are there .
    MOTdon't forget # you're gonna have to pack your suitcase # ya know # get all your toys together # (a)n(d) all your books .
    CHIoop .

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_Brown12.24
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah084.chaSarah 3;11.092453312.24

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. i3 · 100.0%