PHPCLANCHILDES with regular expressions

17 matches in 16 utterances

12.22 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (385 utterances, 1,391 words searched).

  1. there we go ! MOT · bilingual_eng_Genesee/oli23b02m.cha, line 63 · Olivier 2;01
  2. there's a big ball ! MOT · bilingual_eng_Genesee/oli23b02m.cha, line 65 · Olivier 2;01
  3. xxx [<] take the things out ɘn@u [: and] see what's in there . MOT · bilingual_eng_Genesee/oli23b02m.cha, line 105 · Olivier 2;01
  4. there's two ! MOT · bilingual_eng_Genesee/oli23b02m.cha, line 267 · Olivier 2;01
  5. there's two ! MOT · bilingual_eng_Genesee/oli23b02m.cha, line 275 · Olivier 2;01
  6. there's lots of things in the bag . MOT · bilingual_eng_Genesee/oli23b02m.cha, line 500 · Olivier 2;01
  7. there we go . MOT · bilingual_eng_Genesee/oli23b02m.cha, line 516 · Olivier 2;01
  8. there's some other things in there . MOT · bilingual_eng_Genesee/oli23b02m.cha, line 580 · Olivier 2;01
  9. there's some other things in there . MOT · bilingual_eng_Genesee/oli23b02m.cha, line 580 · Olivier 2;01
  10. and there's another cow ! MOT · bilingual_eng_Genesee/oli23b02m.cha, line 816 · Olivier 2;01
  11. it's right there . MOT · bilingual_eng_Genesee/oli23b02m.cha, line 1135 · Olivier 2;01
  12. the tractor's right there . MOT · bilingual_eng_Genesee/oli23b02m.cha, line 1139 · Olivier 2;01
  13. what's his name there ? MOT · bilingual_eng_Genesee/oli23b02m.cha, line 1364 · Olivier 2;01
  14. <there's the> [//] can you put the helicopter in the puzzle ? MOT · bilingual_eng_Genesee/oli23b02m.cha, line 1401 · Olivier 2;01
  15. there # okay . MOT · bilingual_eng_Genesee/oli23b02m.cha, line 1510 · Olivier 2;01
  16. oh okay # there it is . MOT · bilingual_eng_Genesee/oli23b02m.cha, line 1543 · Olivier 2;01
  17. there # okay . MOT · bilingual_eng_Genesee/oli23b02m.cha, line 1615 · Olivier 2;01
  1. EXP0.
    CHIoù le ballon xxx .
    MOT*MOT: there we go !
    MOTthere's a big ball !
    CHItaper le ballon # <à Daddy> [>] .
  2. CHIoù le ballon xxx .
    MOTthere we go !
    MOT*MOT: there's a big ball !
    CHItaper le ballon # <à Daddy> [>] .
    MOToh [<] .
  3. CHIdans le bag ?
    CHIxxx [>] .
    MOT*MOT: xxx [<] take the things out ɘn@u [: and] see what's in there .
    CHIyy .
    MOTtake them out .
  4. CHI0.
    MOToh another one .
    MOT*MOT: there's two !
    CHIâllo !
    EXP0.
  5. CHIâllo !
    EXP0.
    MOT*MOT: there's two !
    MOToh look at your funny finger nails .
    CHI0.
  6. MOTwhat is in the bag ?
    MOTwhat else is in the bag ?
    MOT*MOT: there's lots of things in the bag .
    CHI0.
    MOTtake out the blocks .
  7. MOTyeah take out the blocks .
    CHIoh .
    MOT*MOT: there we go .
    CHIbAm@u !
    CHIOlivier va tomber # dans le tracteur ?
  8. MOTxxx just let him play with this for a bit more .
    CHIc'est quoi ça # # dans le sac .
    MOT*MOT: there's some other things in there .
    CHI0.
    MOTwhy don't you take them out .
  9. CHI<moo@o> [<] !
    MOTmoo !
    MOT*MOT: and there's another cow !
    MOTmoo@o !
    MOTand what's that ?
  10. CHIoù est le tracteur ?
    MOThmm ?
    MOT*MOT: it's right there .
    CHI0.
    MOTthe tractor's right there .
  11. MOTit's right there .
    CHI0.
    MOT*MOT: the tractor's right there .
    CHImonsieur va # dans le tracteur ?
    MOTyeah # you can put the man in the tractor .
  12. CHIwhat that ?
    MOTwhat's that ?
    MOT*MOT: what's his name there ?
    MOTI forget .
    MOTxxx .
  13. EXPxxx [<] in the sky [=! laughs] !
    CHI0.
    MOT*MOT: <there's the> [//] can you put the helicopter in the puzzle ?
    CHIhelicopter va # en haut !
    MOTyeah, it goes up in the sky .
  14. FATxxx [>] .
    MOT<oh, honey don't break> [<] it !
    MOT*MOT: there # okay .
    CHIcookie ?
    MOT<let's put> [>] +/.
  15. CHIxxx .
    MOTno, we'll do this one, honey .
    MOT*MOT: oh okay # there it is .
    MOTlet's do the puzzle of Canada .
    CHIlà Canada .
  16. MOTyou like wearing hats, don't you, sweetie ?
    CHI0.
    MOT*MOT: there # okay .
    MOTso we have a horse .
    MOT0.

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_Genesee12.22
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
bilingual_eng_Genesee/oli23b02m.chaOlivier 2;1.291,391161712.22

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. there17 · 100.0%