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. do you know how many dwarfs there are ? MOT · bilingual_eng_Genesee/oli23b04m.cha, line 108 · Olivier 2;03
  2. how many dwarfs are there ? MOT · bilingual_eng_Genesee/oli23b04m.cha, line 158 · Olivier 2;03
  3. are you okay ? OBS · bilingual_eng_Genesee/oli23b04m.cha, line 248 · Olivier 2;03
  4. how many firemen are there ? MOT · bilingual_eng_Genesee/oli23b04m.cha, line 296 · Olivier 2;03
  5. how many are there ? MOT · bilingual_eng_Genesee/oli23b04m.cha, line 300 · Olivier 2;03
  6. are there three firemen ? MOT · bilingual_eng_Genesee/oli23b04m.cha, line 311 · Olivier 2;03
  7. <how many> [/] # how many firemen are there there ? MOT · bilingual_eng_Genesee/oli23b04m.cha, line 317 · Olivier 2;03
  8. are you anxious to have a baby brother ? MOT · bilingual_eng_Genesee/oli23b04m.cha, line 1232 · Olivier 2;03
  9. you and I are playing basketball . MOT · bilingual_eng_Genesee/oli23b04m.cha, line 1433 · Olivier 2;03
  1. CHI<Blanche Neige> [<] .
    MOTand how many dwarfs ?
    MOT*MOT: do you know how many dwarfs there are ?
    CHIje vais montrer à Papa .
    OBS0.
  2. MOTlet's look at the dwarfs .
    MOThuh ?
    MOT*MOT: how many dwarfs are there ?
    CHI0.
    MOTdo you want to count the dwarfs ?
  3. MOTthey're +/.
    MOToh whoa !
    OBS*OBS: are you okay ?
    MOT0.
    MOT<I just> [/] I just got a big kick !
  4. MOTthat's where the firemen go !
    CHI0.
    MOT*MOT: how many firemen are there ?
    CHI0.
    MOThow many are there ?
  5. MOThow many firemen are there ?
    CHI0.
    MOT*MOT: how many are there ?
    MOTcan you count them ?
    CHIno .
  6. CHIno .
    MOTone two three .
    MOT*MOT: are there three firemen ?
    CHIthree .
    MOT<how many> [/] # how many firemen are there there ?
  7. MOTare there three firemen ?
    CHIthree .
    MOT*MOT: <how many> [/] # how many firemen are there there ?
    CHIlà l'auto ?
    MOTxxx .
  8. MOTthat'll be your baby brother .
    CHI0.
    MOT*MOT: are you anxious to have a baby brother ?
    CHInon .
    MOTno !
  9. OBS0.
    MOTno !
    MOT*MOT: you and I are playing basketball .
    MOTDaddy doesn't go to play basketball .
    MOTwith his stick ?

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. are9 · 100.0%