PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

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

  1. all rabbits do that . ANN · eng_USA_Brown/sarah074.cha, line 623 · Sarah 3;08
  2. did you tell Ann_Marie that you saw rabbits yesterday ? MOT · eng_USA_Brown/sarah074.cha, line 739 · Sarah 3;08
  3. these were real # real rabbits . MOT · eng_USA_Brown/sarah074.cha, line 799 · Sarah 3;08
  4. there are rabbits down there . MOT · eng_USA_Brown/sarah074.cha, line 826 · Sarah 3;08
  5. Arthur has rabbits . MOT · eng_USA_Brown/sarah074.cha, line 842 · Sarah 3;08
  6. he has three rabbits . MOT · eng_USA_Brown/sarah074.cha, line 844 · Sarah 3;08
  1. eng_USA_Brown/sarah074.cha, line 623 · Sarah, 3;8.20
    ANNfor a hole .
    ANN# in the ground .
    ANN*ANN: all rabbits do that .
    ANNlike Bugs_Bunny .
    CHIhuh ?
  2. eng_USA_Brown/sarah074.cha, line 739 · Sarah, 3;8.20
    CHIhuh ?
    CHIa big one .
    MOT*MOT: did you tell Ann_Marie that you saw rabbits yesterday ?
    ANNxxx night .
    MOTwhere [/] where'd you go yesterday ?
  3. eng_USA_Brown/sarah074.cha, line 799 · Sarah, 3;8.20
    ANNwere they talkin(g) to her ?
    MOTno .
    MOT*MOT: these were real # real rabbits .
    ANNwant to know somethin(g) ?
    ANNdown in the country where my # um # where um # um # John's friend lives .
  4. eng_USA_Brown/sarah074.cha, line 826 · Sarah, 3;8.20
    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 .
  5. eng_USA_Brown/sarah074.cha, line 842 · Sarah, 3;8.20
    ANN(a)n(d) um # he couldn't get in so I grabbed him .
    ANNshe said put him in this box .
    MOT*MOT: Arthur has rabbits .
    MOThe has three rabbits .
    ANNwhat ?
  6. eng_USA_Brown/sarah074.cha, line 844 · Sarah, 3;8.20
    ANNshe said put him in this box .
    MOTArthur has rabbits .
    MOT*MOT: he has three rabbits .
    ANNwhat ?
    CHItwo rabbits .

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_Brown3.73
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah074.chaSarah 3;8.201,610663.73

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. rabbits6 · 100.0%