PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

2.83 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (613 utterances, 2,470 words searched).

  1. <I'll write Nicole on it so I know> [<] <who it's from> [>] . INV · eng_british_Manchester_II/nic09a.cha, line 188 · Nicole 2;03
  2. then he willn't know what you want for Christman , will he ? MOT · eng_british_Manchester_II/nic09a.cha, line 1040 · Nicole 2;03
  3. he willn't know you want a zoo . MOT · eng_british_Manchester_II/nic09a.cha, line 1043 · Nicole 2;03
  4. I'm [/] I'm not a horse you know . MOT · eng_british_Manchester_II/nic09a.cha, line 1148 · Nicole 2;03
  5. oh I know . MOT · eng_british_Manchester_II/nic09a.cha, line 1243 · Nicole 2;03
  6. what else do we know ? MOT · eng_british_Manchester_II/nic09a.cha, line 1551 · Nicole 2;03
  7. I don't know what you mean . MOT · eng_british_Manchester_II/nic09a.cha, line 1664 · Nicole 2;03
  1. CHIout .
    CHI<Mummy that> [>] .
    INV*INV: <I'll write Nicole on it so I know> [<] <who it's from> [>] .
    CHIMummy [<] .
    MOTno .
  2. MOThmm ?
    CHIxxx .
    MOT*MOT: then he willn't know what you want for Christman , will he ?
    MOThe willn't know you want a zoo .
    CHIxxx .
  3. CHIxxx .
    MOTthen he willn't know what you want for Christman , will he ?
    MOT*MOT: he willn't know you want a zoo .
    CHIxxx .
    MOTand a train+set .
  4. CHIxxx .
    INVwww .
    MOT*MOT: I'm [/] I'm not a horse you know .
    CHIxxx .
    MOTthere .
  5. MOTright .
    MOTand you can play with your toys .
    MOT*MOT: oh I know .
    MOTI'll sit here where it's nice and comfortable .
    MOToh .
  6. MOT+" merrily merrily [>] merrily merrily life is like a dream .
    CHI+" dream [<] .
    MOT*MOT: what else do we know ?
    CHIthere .
    MOTyeah .
  7. MOTno .
    MOTthink [/] think of another word .
    MOT*MOT: I don't know what you mean .
    CHIrow [x 2] the boat .
    CHIrow row .

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_II2.83
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/nic09a.chaNicole 2;3.172,470772.83

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. know7 · 100.0%