PHPCLANCHILDES with regular expressions

11 matches in 10 utterances

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

  1. and how many dwarfs ? MOT · bilingual_eng_Genesee/oli23b04m.cha, line 106 · Olivier 2;03
  2. do you know how many dwarfs there are ? MOT · bilingual_eng_Genesee/oli23b04m.cha, line 108 · Olivier 2;03
  3. how many dwarfs are there ? MOT · bilingual_eng_Genesee/oli23b04m.cha, line 158 · 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. <how many> [/] # how many firemen are there there ? MOT · bilingual_eng_Genesee/oli23b04m.cha, line 317 · Olivier 2;03
  7. <how many> [/] # how many firemen are there there ? MOT · bilingual_eng_Genesee/oli23b04m.cha, line 317 · Olivier 2;03
  8. how did we get home ? MOT · bilingual_eng_Genesee/oli23b04m.cha, line 1333 · Olivier 2;03
  9. how did we get home ? MOT · bilingual_eng_Genesee/oli23b04m.cha, line 1350 · Olivier 2;03
  10. how did we get home, sweetheart ? MOT · bilingual_eng_Genesee/oli23b04m.cha, line 1354 · Olivier 2;03
  11. yeah but how did we get here last night ? MOT · bilingual_eng_Genesee/oli23b04m.cha, line 1359 · Olivier 2;03
  1. bilingual_eng_Genesee/oli23b04m.cha, line 106 · Olivier, 2;3.20
    MOT<Snow White> [>] .
    CHI<Blanche Neige> [<] .
    MOT*MOT: and how many dwarfs ?
    MOTdo you know how many dwarfs there are ?
    CHIje vais montrer à Papa .
  2. bilingual_eng_Genesee/oli23b04m.cha, line 108 · Olivier, 2;3.20
    CHI<Blanche Neige> [<] .
    MOTand how many dwarfs ?
    MOT*MOT: do you know how many dwarfs there are ?
    CHIje vais montrer à Papa .
    OBS0.
  3. bilingual_eng_Genesee/oli23b04m.cha, line 158 · Olivier, 2;3.20
    MOTlet's look at the dwarfs .
    MOThuh ?
    MOT*MOT: how many dwarfs are there ?
    CHI0.
    MOTdo you want to count the dwarfs ?
  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 300 · Olivier, 2;3.20
    MOThow many firemen are there ?
    CHI0.
    MOT*MOT: how many are there ?
    MOTcan you count them ?
    CHIno .
  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 1333 · Olivier, 2;3.20
    MOTyou didn't have cake .
    MOTand what did we have when we got home ?
    MOT*MOT: how did we get home ?
    CHI0.
    MOTdid we take a taxi ?
  8. bilingual_eng_Genesee/oli23b04m.cha, line 1350 · Olivier, 2;3.20
    MOTwhat did we take ?
    CHI0.
    MOT*MOT: how did we get home ?
    MOThuh ?
    MOThow did we get home, sweetheart ?
  9. bilingual_eng_Genesee/oli23b04m.cha, line 1354 · Olivier, 2;3.20
    MOThow did we get home ?
    MOThuh ?
    MOT*MOT: how did we get home, sweetheart ?
    CHIon s'en va à la maison .
    MOTyeah but how did we get here last night ?
  10. bilingual_eng_Genesee/oli23b04m.cha, line 1359 · Olivier, 2;3.20
    MOThow did we get home, sweetheart ?
    CHIon s'en va à la maison .
    MOT*MOT: yeah but how did we get here last night ?
    CHI0.
    MOThuh ?

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;3.201,59510116.90

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. how11 · 100.0%