PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

3.49 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (355 utterances, 1,717 words searched).

  1. if Donna were here and was talking # then we could play it back afterward and … MEL · eng_USA_Brown/sarah122.cha, line 888 · Sarah 4;08
  2. is that what Donna tells you ? GAI · eng_USA_Brown/sarah122.cha, line 924 · Sarah 4;08
  3. do you always do what Donna tells you ? MOT · eng_USA_Brown/sarah122.cha, line 928 · Sarah 4;08
  4. is Donna your friend ? MOT · eng_USA_Brown/sarah122.cha, line 933 · Sarah 4;08
  5. well are you gonna marry Batman uh Robin or is # uh Donna goin(g) (t)a marry Robin ? MOT · eng_USA_Brown/sarah122.cha, line 939 · Sarah 4;08
  6. hello # Donna ? MOT · eng_USA_Brown/sarah122.cha, line 1050 · Sarah 4;08
  1. CHIcan I hear Donna voices ?
    MELmmhm # you can't now .
    MEL*MEL: if Donna were here and was talking # then we could play it back afterward and you could hear it .
    CHIbut Donna voices are +...
    CHIsee ?
  2. CHIan(d) [/] (a)n(d) well # when I come home from school you better # get in your my porch .
    CHIhuh ?
    GAI*GAI: is that what Donna tells you ?
    CHIuhhuh .
    MOTdo you always do what Donna tells you ?
  3. GAIis that what Donna tells you ?
    CHIuhhuh .
    MOT*MOT: do you always do what Donna tells you ?
    CHIno really .
    MOTis Donna your friend ?
  4. MOTdo you always do what Donna tells you ?
    CHIno really .
    MOT*MOT: is Donna your friend ?
    CHIno more .
    MOTno more ?
  5. CHIno more .
    MOTno more ?
    MOT*MOT: well are you gonna marry Batman uh Robin or is # uh Donna goin(g) (t)a marry Robin ?
    CHIDonna's gonna marry him # but I'm gonna marry him faster .
    MELgreat !
  6. MOTthat's good .
    MOThe was baby+sittin(g) last night # so usually they both go to bed at the same time .
    MOT*MOT: hello # Donna ?
    MOTCarol .
    CHIyou show her up # huh ?

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_Brown3.49
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah122.chaSarah 4;8.201,717663.49

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. donna6 · 100.0%