PHPCLANCHILDES with regular expressions

9 matches in 9 utterances

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

  1. look at the firemen ! MOT · bilingual_eng_Genesee/oli23b04m.cha, line 239 · Olivier 2;03
  2. look they're all firemen . MOT · bilingual_eng_Genesee/oli23b04m.cha, line 267 · Olivier 2;03
  3. that's where the firemen go ! MOT · bilingual_eng_Genesee/oli23b04m.cha, line 292 · Olivier 2;03
  4. how many firemen are there ? MOT · bilingual_eng_Genesee/oli23b04m.cha, line 296 · Olivier 2;03
  5. are there three firemen ? MOT · bilingual_eng_Genesee/oli23b04m.cha, line 311 · Olivier 2;03
  6. <how many> [/] # how many firemen are there there ? MOT · bilingual_eng_Genesee/oli23b04m.cha, line 317 · Olivier 2;03
  7. does that go over with the firemen ? MOT · bilingual_eng_Genesee/oli23b04m.cha, line 362 · Olivier 2;03
  8. <I think they're all> [//] it's only firemen that go in this puzzle . MOT · bilingual_eng_Genesee/oli23b04m.cha, line 385 · Olivier 2;03
  9. see they're all firemen . MOT · bilingual_eng_Genesee/oli23b04m.cha, line 387 · Olivier 2;03
  1. bilingual_eng_Genesee/oli23b04m.cha, line 239 · Olivier, 2;3.20
    MOTdo you like to have your nails cut ?
    MOToh !
    MOT*MOT: look at the firemen !
    MOThey ?
    MOTthey're +/.
  2. bilingual_eng_Genesee/oli23b04m.cha, line 267 · Olivier, 2;3.20
    MOTwhere's the little car ?
    CHIlà le gros l'auto ?
    MOT*MOT: look they're all firemen .
    MOTlook, honey, they're climbing up the ladder ?
    CHI0.
  3. bilingual_eng_Genesee/oli23b04m.cha, line 292 · Olivier, 2;3.20
    MOTthat's where they go .
    CHI0.
    MOT*MOT: that's where the firemen go !
    CHI0.
    MOThow many firemen are there ?
  4. bilingual_eng_Genesee/oli23b04m.cha, line 296 · Olivier, 2;3.20
    MOTthat's where the firemen go !
    CHI0.
    MOT*MOT: how many firemen are there ?
    CHI0.
    MOThow many are there ?
  5. bilingual_eng_Genesee/oli23b04m.cha, line 311 · Olivier, 2;3.20
    CHIno .
    MOTone two three .
    MOT*MOT: are there three firemen ?
    CHIthree .
    MOT<how many> [/] # how many firemen are there there ?
  6. bilingual_eng_Genesee/oli23b04m.cha, line 317 · Olivier, 2;3.20
    MOTare there three firemen ?
    CHIthree .
    MOT*MOT: <how many> [/] # how many firemen are there there ?
    CHIlà l'auto ?
    MOTxxx .
  7. bilingual_eng_Genesee/oli23b04m.cha, line 362 · Olivier, 2;3.20
    MOTwhere does that go ?
    CHI0.
    MOT*MOT: does that go over with the firemen ?
    CHIoui .
    MOTokay .
  8. bilingual_eng_Genesee/oli23b04m.cha, line 385 · Olivier, 2;3.20
    MOTdoes the motorcycle +/.
    MOTyou know what, honey ?
    MOT*MOT: <I think they're all> [//] it's only firemen that go in this puzzle .
    MOTsee they're all firemen .
    MOThere .
  9. bilingual_eng_Genesee/oli23b04m.cha, line 387 · Olivier, 2;3.20
    MOTyou know what, honey ?
    MOT<I think they're all> [//] it's only firemen that go in this puzzle .
    MOT*MOT: see they're all firemen .
    MOThere .
    MOTwe'll put that one there .

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_Genesee5.64
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
bilingual_eng_Genesee/oli23b04m.chaOlivier 2;3.201,595995.64

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. firemen9 · 100.0%