PHPCLANCHILDES with regular expressions

15 matches in 14 utterances

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

  1. xxx I didn't know you liked macaroni salad Ann_Marie . MOT · eng_USA_Brown/sarah074.cha, line 252 · Sarah 3;08
  2. I know you . MOT · eng_USA_Brown/sarah074.cha, line 332 · Sarah 3;08
  3. I know you too . MOT · eng_USA_Brown/sarah074.cha, line 334 · Sarah 3;08
  4. oh # I know Chantilly . KEN · eng_USA_Brown/sarah074.cha, line 480 · Sarah 3;08
  5. I know what he's diggin(g) for # Sarah . ANN · eng_USA_Brown/sarah074.cha, line 613 · Sarah 3;08
  6. I know it . MOT · eng_USA_Brown/sarah074.cha, line 706 · Sarah 3;08
  7. I don't know . MOT · eng_USA_Brown/sarah074.cha, line 712 · Sarah 3;08
  8. want to know somethin(g) ? ANN · eng_USA_Brown/sarah074.cha, line 801 · Sarah 3;08
  9. I don't know . MOT · eng_USA_Brown/sarah074.cha, line 1044 · Sarah 3;08
  10. I know a song # that she might know . ANN · eng_USA_Brown/sarah074.cha, line 1110 · Sarah 3;08
  11. I know a song # that she might know . ANN · eng_USA_Brown/sarah074.cha, line 1110 · Sarah 3;08
  12. I know that song I think . ANN · eng_USA_Brown/sarah074.cha, line 1199 · Sarah 3;08
  13. I know the song # &wha . MOT · eng_USA_Brown/sarah074.cha, line 1207 · Sarah 3;08
  14. I know the song # &wha [//] what can I give you . ANN · eng_USA_Brown/sarah074.cha, line 1209 · Sarah 3;08
  15. I know what Barney does . ANN · eng_USA_Brown/sarah074.cha, line 1280 · Sarah 3;08
  1. MOTyou're goin(g) to be tired .
    ANNxxx eat the sandwich xxx .
    MOT*MOT: xxx I didn't know you liked macaroni salad Ann_Marie .
    CHIuh # &h # yyy .
    MOTAnn_Marie # do you want a sandwich ?
  2. ANNno .
    MOTno .
    MOT*MOT: I know you .
    MOTI know you too .
    CHIwho ?
  3. MOTno .
    MOTI know you .
    MOT*MOT: I know you too .
    CHIwho ?
    MOTyou .
  4. ANNher # name is Chantilly .
    MOTSarah # you're supposed to have your slippers on .
    KEN*KEN: oh # I know Chantilly .
    ANNhey # Sarah # he's always goes like this .
    CHIwhen you pat him like this .
  5. CHIhe # diggin(g) .
    CHI<he diggin(g)> [/] # he diggin(g) .
    ANN*ANN: I know what he's diggin(g) for # Sarah .
    CHIwhat ?
    ANNfor a hole .
  6. CHInext morning # Peter_Rabbit # went # into the [/] # the apples on [/] # on [//] # (a)n(d) he started with it one night .
    ANNthe bird was tryin(g) to get out .
    MOT*MOT: I know it .
    CHIthe bird tryin(g) get out .
    CHIwhat's the matter with my bird ?
  7. CHIthe bird tryin(g) get out .
    CHIwhat's the matter with my bird ?
    MOT*MOT: I don't know .
    MOTxxx ?
    CHInext morning +...
  8. MOTno .
    MOTthese were real # real rabbits .
    ANN*ANN: want to know somethin(g) ?
    ANNdown in the country where my # um # where um # um # John's friend lives .
    ANNshe um +...
  9. MOToh yeah .
    ANNcould I ?
    MOT*MOT: I don't know .
    MOTwe'll see .
    MOTit's only twelve thirty yet .
  10. MOTsing that one .
    CHIoh # I sing one # alright ?
    ANN*ANN: I know a song # that she might know .
    MOTwhat's that ?
    ANNum # um # what's the one um # the um # catch the first fly um # the uh # fly thing ?
  11. MOTwhat's that song about come to the the stable or come to the table ?
    ANNoh # oh .
    ANN*ANN: I know that song I think .
    MOThuh ?
    MOTdoes Sarah ?
  12. MOTdoes Sarah ?
    CHIum +...
    MOT*MOT: I know the song # &wha .
    ANNI know the song # &wha [//] what can I give you .
    ANNif I were a shepherd I could give him a lamb .
  13. CHIum +...
    MOTI know the song # &wha .
    ANN*ANN: I know the song # &wha [//] what can I give you .
    ANNif I were a shepherd I could give him a lamb .
    MOToh .
  14. ANNwhat is Fred doing ?
    ANNBarney .
    ANN*ANN: I know what Barney does .
    CHIyyy go like this .
    CHIoh Ronald .

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_Brown9.32
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah074.chaSarah 3;8.201,61014159.32

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. know15 · 100.0%