PHPCLANCHILDES with regular expressions

13 matches in 13 utterances

8.81 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (424 utterances, 1,476 words searched).

  1. is this a bag ? MOT · bilingual_eng_Genesee/oli13b11m.cha, line 35 · Olivier 1;11
  2. is this the tractor ? MOT · bilingual_eng_Genesee/oli13b11m.cha, line 420 · Olivier 1;11
  3. look at this puzzle . MOT · bilingual_eng_Genesee/oli13b11m.cha, line 498 · Olivier 1;11
  4. you just have to put this puzzle together ! MOT · bilingual_eng_Genesee/oli13b11m.cha, line 500 · Olivier 1;11
  5. is this the choochoo train ? MOT · bilingual_eng_Genesee/oli13b11m.cha, line 571 · Olivier 1;11
  6. this is the dumper # cause [: because] it dumps things on the floor ! MOT · bilingual_eng_Genesee/oli13b11m.cha, line 685 · Olivier 1;11
  7. Olivier, who's this ? MOT · bilingual_eng_Genesee/oli13b11m.cha, line 928 · Olivier 1;11
  8. who's this right here ? MOT · bilingual_eng_Genesee/oli13b11m.cha, line 941 · Olivier 1;11
  9. 0aux you wanna [: want to] take this stuff out ? MOT · bilingual_eng_Genesee/oli13b11m.cha, line 984 · Olivier 1;11
  10. oh what's this ? MOT · bilingual_eng_Genesee/oli13b11m.cha, line 1040 · Olivier 1;11
  11. is this a cow ? MOT · bilingual_eng_Genesee/oli13b11m.cha, line 1061 · Olivier 1;11
  12. this is a calf . MOT · bilingual_eng_Genesee/oli13b11m.cha, line 1063 · Olivier 1;11
  13. this looks like a mountain goat ! MOT · bilingual_eng_Genesee/oli13b11m.cha, line 1131 · Olivier 1;11
  1. bilingual_eng_Genesee/oli13b11m.cha, line 35 · Olivier, 1;11.15
    MOTlook it !
    MOTlook and see what's in the bag .
    MOT*MOT: is this a bag ?
    CHIxxx tracteu(r) xxx .
    MOTyou found a tractor ?
  2. bilingual_eng_Genesee/oli13b11m.cha, line 420 · Olivier, 1;11.15
    MOTtractor [<] ?
    MOTwhere is the tractor ?
    MOT*MOT: is this the tractor ?
    MOTthere you go .
    MOT0aux you wanna [: want to] fill up the bucket ?
  3. bilingual_eng_Genesee/oli13b11m.cha, line 498 · Olivier, 1;11.15
    MOTno [/] no that's a tractor .
    MOTxxx driving a tractor .
    MOT*MOT: look at this puzzle .
    MOTyou just have to put this puzzle together !
    CHIoh ?
  4. bilingual_eng_Genesee/oli13b11m.cha, line 500 · Olivier, 1;11.15
    MOTxxx driving a tractor .
    MOTlook at this puzzle .
    MOT*MOT: you just have to put this puzzle together !
    CHIoh ?
    MOToh !
  5. bilingual_eng_Genesee/oli13b11m.cha, line 571 · Olivier, 1;11.15
    CHIno .
    MOTno ?
    MOT*MOT: is this the choochoo train ?
    CHIno xxx choochoo train .
    MOTit's not the choochoo train ?
  6. bilingual_eng_Genesee/oli13b11m.cha, line 685 · Olivier, 1;11.15
    MOThuh ?
    MOTit's called a dumper .
    MOT*MOT: this is the dumper # cause [: because] it dumps things on the floor !
    CHIdumper !
    MOTdumper !
  7. bilingual_eng_Genesee/oli13b11m.cha, line 928 · Olivier, 1;11.15
    CHIthat # comb .
    MOTis that a comb ?
    MOT*MOT: Olivier, who's this ?
    MOTwho's that ?
    MOTwho's that right there ?
  8. bilingual_eng_Genesee/oli13b11m.cha, line 941 · Olivier, 1;11.15
    MOTno !
    EXP0.
    MOT*MOT: who's this right here ?
    MOTOlivier, honey !
    MOTOlivier !
  9. bilingual_eng_Genesee/oli13b11m.cha, line 984 · Olivier, 1;11.15
    CHIopen !
    MOTthe bag is open .
    MOT*MOT: 0aux you wanna [: want to] take this stuff out ?
    MOTooh !
    MOTyou really are making a big mess !
  10. bilingual_eng_Genesee/oli13b11m.cha, line 1040 · Olivier, 1;11.15
    MOThow can you tell he's sleeping, honey ?
    MOThe looks pretty +/.
    MOT*MOT: oh what's this ?
    CHIoh # yy # yy .
    MOTa cow ?
  11. bilingual_eng_Genesee/oli13b11m.cha, line 1061 · Olivier, 1;11.15
    CHImoo !
    MOTa cow !
    MOT*MOT: is this a cow ?
    MOTthis is a calf .
    MOT0.
  12. bilingual_eng_Genesee/oli13b11m.cha, line 1063 · Olivier, 1;11.15
    MOTa cow !
    MOTis this a cow ?
    MOT*MOT: this is a calf .
    MOT0.
    MOTlook Olivier !
  13. bilingual_eng_Genesee/oli13b11m.cha, line 1131 · Olivier, 1;11.15
    MOTxxx farm sleeping .
    EXP0.
    MOT*MOT: this looks like a mountain goat !
    MOTa goat .
    MOTis that a goat ?

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_Genesee8.81
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
bilingual_eng_Genesee/oli13b11m.chaOlivier 1;11.151,47613138.81

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. this13 · 100.0%