PHPCLANCHILDES with regular expressions

6 matches in 5 utterances

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

  1. take them out . MOT · bilingual_eng_Genesee/oli23b02m.cha, line 111 · Olivier 2;01
  2. why don't you take them out . MOT · bilingual_eng_Genesee/oli23b02m.cha, line 584 · Olivier 2;01
  3. let's set them all up . MOT · bilingual_eng_Genesee/oli23b02m.cha, line 1443 · Olivier 2;01
  4. he does it # like he'll name some of them and he'll tell you # à coté de xxx [>] les Maritimes # c'est à coté d… MOT · bilingual_eng_Genesee/oli23b02m.cha, line 1574 · Olivier 2;01
  5. <he know> [//] he can place them all but <he just> [//] he can't name them all . MOT · bilingual_eng_Genesee/oli23b02m.cha, line 1587 · Olivier 2;01
  6. <he know> [//] he can place them all but <he just> [//] he can't name them all . MOT · bilingual_eng_Genesee/oli23b02m.cha, line 1587 · Olivier 2;01
  1. bilingual_eng_Genesee/oli23b02m.cha, line 111 · Olivier, 2;1.29
    MOTxxx [<] take the things out ɘn@u [: and] see what's in there .
    CHIyy .
    MOT*MOT: take them out .
    CHI0.
    MOT0.
  2. bilingual_eng_Genesee/oli23b02m.cha, line 584 · Olivier, 2;1.29
    MOTthere's some other things in there .
    CHI0.
    MOT*MOT: why don't you take them out .
    CHI0.
    MOThe's gonna [: going to] crawl right in !
  3. bilingual_eng_Genesee/oli23b02m.cha, line 1443 · Olivier, 2;1.29
    CHI0.
    MOTokay ?
    MOT*MOT: let's set them all up .
    MOTwe'll take the little fence .
    CHI0.
  4. bilingual_eng_Genesee/oli23b02m.cha, line 1574 · Olivier, 2;1.29
    CHI0.
    EXPdoes he know the provinces ?
    MOT*MOT: he does it # like he'll name some of them and he'll tell you # à coté de xxx [>] les Maritimes # c'est à coté du Québec .
    EXPwow [<] !
    EXPwow !
  5. bilingual_eng_Genesee/oli23b02m.cha, line 1587 · Olivier, 2;1.29
    CHI0.
    EXPthat's amazing !
    MOT*MOT: <he know> [//] he can place them all but <he just> [//] he can't name them all .
    CHI0.
    MOThere let's put all the animals inside the fence, okay ?

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_Genesee4.31
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
bilingual_eng_Genesee/oli23b02m.chaOlivier 2;1.291,391564.31

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. them6 · 100.0%