PHPCLANCHILDES with regular expressions

11 matches in 11 utterances

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

  1. … be#cause] it> [//] # they have different cars trucks and motorcycles on this one . MOT · bilingual_eng_Genesee/oli23b04m.cha, line 394 · Olivier 2;03
  2. a fireman on a motorcycle . MOT · bilingual_eng_Genesee/oli23b04m.cha, line 483 · Olivier 2;03
  3. put on the other part of the train . MOT · bilingual_eng_Genesee/oli23b04m.cha, line 712 · Olivier 2;03
  4. they've got letters on them ! MOT · bilingual_eng_Genesee/oli23b04m.cha, line 862 · Olivier 2;03
  5. who did you see on tv the other day, Olivier ? MOT · bilingual_eng_Genesee/oli23b04m.cha, line 984 · Olivier 2;03
  6. Daddy's talking to somebody on the phone . MOT · bilingual_eng_Genesee/oli23b04m.cha, line 1080 · Olivier 2;03
  7. where did you go for dinner on Saturday night ? MOT · bilingual_eng_Genesee/oli23b04m.cha, line 1269 · Olivier 2;03
  8. yeah you had cheese on what ? MOT · bilingual_eng_Genesee/oli23b04m.cha, line 1313 · Olivier 2;03
  9. and where did Daddy go on Tuesday night ? MOT · bilingual_eng_Genesee/oli23b04m.cha, line 1397 · Olivier 2;03
  10. what does he do when he gets home from work on Tuesday night ? MOT · bilingual_eng_Genesee/oli23b04m.cha, line 1403 · Olivier 2;03
  11. on +/. MOT · bilingual_eng_Genesee/oli23b04m.cha, line 1414 · Olivier 2;03
  1. bilingual_eng_Genesee/oli23b04m.cha, line 394 · Olivier, 2;3.20
    MOThere .
    MOTwe'll put that one there .
    MOT*MOT: <cause [: be#cause] it> [//] # they have different cars trucks and motorcycles on this one .
    CHI0.
    MOTso just put cars and # # motorcycles and +/.
  2. bilingual_eng_Genesee/oli23b04m.cha, line 483 · Olivier, 2;3.20
    MOToh !
    CHI0.
    MOT*MOT: a fireman on a motorcycle .
    MOTlook at this .
    MOTwhat's that ?
  3. bilingual_eng_Genesee/oli23b04m.cha, line 712 · Olivier, 2;3.20
    MOT0.
    CHI0.
    MOT*MOT: put on the other part of the train .
    MOTbehind choochoo train .
    CHI0.
  4. bilingual_eng_Genesee/oli23b04m.cha, line 862 · Olivier, 2;3.20
    MOTxxx some blocks .
    CHIyy the block .
    MOT*MOT: they've got letters on them !
    MOTooh look and there's numbers # and letters .
    CHI0.
  5. bilingual_eng_Genesee/oli23b04m.cha, line 984 · Olivier, 2;3.20
    MOTthat big red hat ?
    CHI0.
    MOT*MOT: who did you see on tv the other day, Olivier ?
    CHI0.
    MOTwho's the one with the red nose ?
  6. bilingual_eng_Genesee/oli23b04m.cha, line 1080 · Olivier, 2;3.20
    MOTall around the world .
    CHIc'est quoi ça # au &tE téléphone ?
    MOT*MOT: Daddy's talking to somebody on the phone .
    CHItéléphone la papa de yyy .
    MOTno, I don't think he's talking to Samuel .
  7. bilingual_eng_Genesee/oli23b04m.cha, line 1269 · Olivier, 2;3.20
    MOTthere .
    CHI0.
    MOT*MOT: where did you go for dinner on Saturday night ?
    CHIMcDonald's hamburger .
    MOToh [=! laughs] well, that was last night .
  8. bilingual_eng_Genesee/oli23b04m.cha, line 1313 · Olivier, 2;3.20
    CHIun fromage .
    MOTwith [/] with cheese .
    MOT*MOT: yeah you had cheese on what ?
    CHItomate !
    MOTyou had a tomato .
  9. bilingual_eng_Genesee/oli23b04m.cha, line 1397 · Olivier, 2;3.20
    CHIlate .
    MOThe worked late .
    MOT*MOT: and where did Daddy go on Tuesday night ?
    MOTnot last night but the night before last .
    MOTwhere did Daddy go ?
  10. bilingual_eng_Genesee/oli23b04m.cha, line 1403 · Olivier, 2;3.20
    MOTnot last night but the night before last .
    MOTwhere did Daddy go ?
    MOT*MOT: what does he do when he gets home from work on Tuesday night ?
    MOTwhere does he go ?
    MOT0aux you know where he goes ?
  11. bilingual_eng_Genesee/oli23b04m.cha, line 1414 · Olivier, 2;3.20
    CHIDaddy go work .
    MOTafter that .
    MOT*MOT: on +/.
    MOTafter that .
    MOThe comes home ?

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_Genesee6.90
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
bilingual_eng_Genesee/oli23b04m.chaOlivier 2;3.201,59511116.90

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. on11 · 100.0%