PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

3.06 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (380 utterances, 1,634 words searched).

  1. from Christmas ? GAI · eng_USA_Brown/sarah107.cha, line 189 · Sarah 4;05
  2. oh those are the batteries from a flash light . MOT · eng_USA_Brown/sarah107.cha, line 293 · Sarah 4;05
  3. so they've been goin(g) from +... MOT · eng_USA_Brown/sarah107.cha, line 301 · Sarah 4;05
  4. from one doll to the other ? GAI · eng_USA_Brown/sarah107.cha, line 303 · Sarah 4;05
  5. from one doll to the other . MOT · eng_USA_Brown/sarah107.cha, line 305 · Sarah 4;05
  1. eng_USA_Brown/sarah107.cha, line 189 · Sarah, 4;5.04
    MOTwhere did you get that pretty doll # Kissy ?
    CHIfrom Christmas .
    GAI*GAI: from Christmas ?
    CHIyeah .
    MOTwho gave it to ya ?
  2. eng_USA_Brown/sarah107.cha, line 293 · Sarah, 4;5.04
    CHIyeah .
    GAIyou must have been playing with her a lot .
    MOT*MOT: oh those are the batteries from a flash light .
    MOT<we only> [//] # Santa_Claus only brought two batteries instead of about ten .
    GAIoh .
  3. eng_USA_Brown/sarah107.cha, line 301 · Sarah, 4;5.04
    MOT<we only> [//] # Santa_Claus only brought two batteries instead of about ten .
    GAIoh .
    MOT*MOT: so they've been goin(g) from +...
    GAIfrom one doll to the other ?
    MOTfrom one doll to the other .
  4. eng_USA_Brown/sarah107.cha, line 303 · Sarah, 4;5.04
    GAIoh .
    MOTso they've been goin(g) from +...
    GAI*GAI: from one doll to the other ?
    MOTfrom one doll to the other .
    CHImy baking oven don't work .
  5. eng_USA_Brown/sarah107.cha, line 305 · Sarah, 4;5.04
    MOTso they've been goin(g) from +...
    GAIfrom one doll to the other ?
    MOT*MOT: from one doll to the other .
    CHImy baking oven don't work .
    GAIwhat ?

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_Brown3.06
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah107.chaSarah 4;5.041,634553.06

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. from5 · 100.0%