PHPCLANCHILDES with regular expressions

10 matches in 10 utterances

6.27 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (400 utterances, 1,595 words searched).

  1. do you know who that is ? MOT · bilingual_eng_Genesee/oli23b04m.cha, line 85 · Olivier 2;03
  2. do you know how many dwarfs there are ? MOT · bilingual_eng_Genesee/oli23b04m.cha, line 108 · Olivier 2;03
  3. you know what, honey ? MOT · bilingual_eng_Genesee/oli23b04m.cha, line 383 · Olivier 2;03
  4. I don't know we're gonna [: going to] xxx that big car there ! MOT · bilingual_eng_Genesee/oli23b04m.cha, line 525 · Olivier 2;03
  5. I don't know, sweetheart . MOT · bilingual_eng_Genesee/oli23b04m.cha, line 680 · Olivier 2;03
  6. I don't know where the gros auto is . MOT · bilingual_eng_Genesee/oli23b04m.cha, line 694 · Olivier 2;03
  7. you know the song that # <the little> [/] the little +/. MOT · bilingual_eng_Genesee/oli23b04m.cha, line 908 · Olivier 2;03
  8. no, you know it doesn't go there . MOT · bilingual_eng_Genesee/oli23b04m.cha, line 960 · Olivier 2;03
  9. do you know who that is, honey ? MOT · bilingual_eng_Genesee/oli23b04m.cha, line 1016 · Olivier 2;03
  10. 0aux you know where he goes ? MOT · bilingual_eng_Genesee/oli23b04m.cha, line 1407 · Olivier 2;03
  1. bilingual_eng_Genesee/oli23b04m.cha, line 85 · Olivier, 2;3.20
    MOTBugs Bunny .
    CHI0.
    MOT*MOT: do you know who that is ?
    CHIBlanche # Neige .
    MOTyeah .
  2. bilingual_eng_Genesee/oli23b04m.cha, line 108 · Olivier, 2;3.20
    CHI<Blanche Neige> [<] .
    MOTand how many dwarfs ?
    MOT*MOT: do you know how many dwarfs there are ?
    CHIje vais montrer à Papa .
    OBS0.
  3. bilingual_eng_Genesee/oli23b04m.cha, line 383 · Olivier, 2;3.20
    MOTa motorcycle .
    MOTdoes the motorcycle +/.
    MOT*MOT: you know what, honey ?
    MOT<I think they're all> [//] it's only firemen that go in this puzzle .
    MOTsee they're all firemen .
  4. bilingual_eng_Genesee/oli23b04m.cha, line 525 · Olivier, 2;3.20
    MOTlittle boat !
    CHIoù il est le gros auto ?
    MOT*MOT: I don't know we're gonna [: going to] xxx that big car there !
    OBS0.
    MOTwhat's that ?
  5. bilingual_eng_Genesee/oli23b04m.cha, line 680 · Olivier, 2;3.20
    MOTwhat's coming out of <the hose> [>] ?
    CHI<où elle est> [<] la gros auto ?
    MOT*MOT: I don't know, sweetheart .
    MOTwe'll have to find it !
    CHI0.
  6. bilingual_eng_Genesee/oli23b04m.cha, line 694 · Olivier, 2;3.20
    MOTwhat is that ?
    CHIoù elle est la gros auto ?
    MOT*MOT: I don't know where the gros auto is .
    OBS0.%act: laughs
    CHIoù elle est la gros auto, Elena ?
  7. bilingual_eng_Genesee/oli23b04m.cha, line 908 · Olivier, 2;3.20
    CHI0.
    MOTwhat's the name of the little bird in the book ?
    MOT*MOT: you know the song that # <the little> [/] the little +/.
    CHICuckoo Burra .
    MOTthat's it !
  8. bilingual_eng_Genesee/oli23b04m.cha, line 960 · Olivier, 2;3.20
    CHIil va ici !
    OBS0.
    MOT*MOT: no, you know it doesn't go there .
    CHI0.
    MOTlet's put the other fireman .
  9. bilingual_eng_Genesee/oli23b04m.cha, line 1016 · Olivier, 2;3.20
    MOT<he takes> [//] he goes around with Santa Claus and he delivers toys ?
    CHIil va ici .
    MOT*MOT: do you know who that is, honey ?
    MOThuh ?
    CHI0.
  10. bilingual_eng_Genesee/oli23b04m.cha, line 1407 · Olivier, 2;3.20
    MOTwhat does he do when he gets home from work on Tuesday night ?
    MOTwhere does he go ?
    MOT*MOT: 0aux you know where he goes ?
    CHIDaddy go work .
    MOTafter that .

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. Olivier bilingual_eng_Genesee6.27
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
bilingual_eng_Genesee/oli23b04m.chaOlivier 2;3.201,59510106.27

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. know10 · 100.0%