PHPCLANCHILDES with regular expressions

7 matches in 6 utterances

4.35 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (462 utterances, 1,610 words searched).

  1. Ann_Marie # you sit up there . MOT · eng_USA_Brown/sarah074.cha, line 542 · Sarah 3;08
  2. I was right there at the post . MOT · eng_USA_Brown/sarah074.cha, line 782 · Sarah 3;08
  3. there are rabbits down there . MOT · eng_USA_Brown/sarah074.cha, line 826 · Sarah 3;08
  4. there are rabbits down there . MOT · eng_USA_Brown/sarah074.cha, line 826 · Sarah 3;08
  5. I thought there were three . MOT · eng_USA_Brown/sarah074.cha, line 852 · Sarah 3;08
  6. Sarah # don't put one of those in there now . MOT · eng_USA_Brown/sarah074.cha, line 1415 · Sarah 3;08
  7. leave it there . MOT · eng_USA_Brown/sarah074.cha, line 1418 · Sarah 3;08
  1. CHI(be)cause my mother .
    MOTSarah you read Ann_Marie a story .
    MOT*MOT: Ann_Marie # you sit up there .
    MOTSarah # you sit over here .
    ANNI can read +...
  2. ANNupstairs she was takin(g) everyone's hand .
    ANNbut she didn't get me .
    MOT*MOT: I was right there at the post .
    ANNI said +"/.
    ANN+" hi <Mis(s)> [/] Miss # um # rabbit .
  3. MOTyep .
    MOTso uh # she has um +...
    MOT*MOT: there are rabbits down there .
    ANNI saw a real rabbit hop through the bushes .
    ANNum # about two of them .
  4. CHItwo rabbits .
    MOTtwo ?
    MOT*MOT: I thought there were three .
    CHIDaddy one an a # baby one .
    MOToh # just a Daddy one (a)n(d) a baby one # huh ?
  5. CHIwww .
    ANNshe already has one # Sarah .
    MOT*MOT: Sarah # don't put one of those in there now .
    MOTleave it there .
    ANNhe won't xxx .
  6. ANNshe already has one # Sarah .
    MOTSarah # don't put one of those in there now .
    MOT*MOT: leave it there .
    ANNhe won't xxx .
    ANNshe already gets one .

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_Brown4.35
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah074.chaSarah 3;8.201,610674.35

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. there7 · 100.0%