PHPCLANCHILDES with regular expressions

12 matches in 10 utterances

5.86 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (534 utterances, 2,049 words searched).

  1. and they can be our turrets can't they ? MOT · eng_british_Manchester_II/nic05b.cha, line 526 · Nicole 2;02
  2. and they can be our turrets can't they ? MOT · eng_british_Manchester_II/nic05b.cha, line 526 · Nicole 2;02
  3. it's nice because it's blades go round, don't they ? MOT · eng_british_Manchester_II/nic05b.cha, line 592 · Nicole 2;02
  4. <there they are> [>], look . INV · eng_british_Manchester_II/nic05b.cha, line 672 · Nicole 2;02
  5. they're here , look . MOT · eng_british_Manchester_II/nic05b.cha, line 676 · Nicole 2;02
  6. they're nice , aren't they ? MOT · eng_british_Manchester_II/nic05b.cha, line 680 · Nicole 2;02
  7. they're nice , aren't they ? MOT · eng_british_Manchester_II/nic05b.cha, line 680 · Nicole 2;02
  8. are they nice ? MOT · eng_british_Manchester_II/nic05b.cha, line 684 · Nicole 2;02
  9. I wonder if they're in this basket . MOT · eng_british_Manchester_II/nic05b.cha, line 805 · Nicole 2;02
  10. there they are . INV · eng_british_Manchester_II/nic05b.cha, line 808 · Nicole 2;02
  11. there they are . MOT · eng_british_Manchester_II/nic05b.cha, line 810 · Nicole 2;02
  12. you tell me what they are and I'll put them away . MOT · eng_british_Manchester_II/nic05b.cha, line 1502 · Nicole 2;02
  1. MOT<we can put> [//] we can cheat because we can put that there .
    MOTthat there .
    MOT*MOT: and they can be our turrets can't they ?
    MOThuh ?
    MOTxxx .
  2. MOThelicopter .
    MOTyeah .
    MOT*MOT: it's nice because it's blades go round, don't they ?
    MOTthe helicopter's blades move .
    MOTthat's Budgie , isn't it ?
  3. CHIno way .
    CHIno way .
    INV*INV: <there they are> [>], look .
    MOT<xxx to play with> [<] .
    MOTthey're here , look .
  4. INV<there they are> [>], look .
    MOT<xxx to play with> [<] .
    MOT*MOT: they're here , look .
    MOTthese red ones .
    MOTthey're nice , aren't they ?
  5. MOTthey're here , look .
    MOTthese red ones .
    MOT*MOT: they're nice , aren't they ?
    CHIno .
    MOTare they nice ?
  6. MOTthey're nice , aren't they ?
    CHIno .
    MOT*MOT: are they nice ?
    CHIno way .
    MOToh alright .
  7. INVthere's a little white top and some # blue trousers .
    INVsome blue dungarees .
    MOT*MOT: I wonder if they're in this basket .
    INVthere they are .
    MOTthere they are .
  8. INVsome blue dungarees .
    MOTI wonder if they're in this basket .
    INV*INV: there they are .
    MOTthere they are .
    INVwww .
  9. MOTI wonder if they're in this basket .
    INVthere they are .
    MOT*MOT: there they are .
    INVwww .
    MOTthere .
  10. INVwww .
    MOTNicole .
    MOT*MOT: you tell me what they are and I'll put them away .
    MOTwhat's that ?
    CHIbanana .

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. Nicole eng_british_Manchester_II5.86
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/nic05b.chaNicole 2;2.052,04910125.86

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. they12 · 100.0%