PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

4.37 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (461 utterances, 1,603 words searched).

  1. and who brought Daisy_cat for you ? MOT · eng_british_Manchester_I/becky12a.cha, line 19 · Becky 2;03
  2. can you remember who brought Daisy_cat ? MOT · eng_british_Manchester_I/becky12a.cha, line 26 · Becky 2;03
  3. who [/] who brought # Daisy_cat for you ? MOT · eng_british_Manchester_I/becky12a.cha, line 33 · Becky 2;03
  4. Aunty_Janet brought Mummy a fridge magnet , didn't she ? MOT · eng_british_Manchester_I/becky12a.cha, line 77 · Becky 2;03
  5. why [/] why've you brought horse and cat in . MOT · eng_british_Manchester_I/becky12a.cha, line 1705 · Becky 2;03
  6. you haven't brought horse and cat . MOT · eng_british_Manchester_I/becky12a.cha, line 1712 · Becky 2;03
  7. you've just brought some more fridge magnets in . MOT · eng_british_Manchester_I/becky12a.cha, line 1714 · Becky 2;03
  1. CHIoh .
    CHIxxx .
    MOT*MOT: and who brought Daisy_cat for you ?
    MOTcan you remember ?
    CHIum +...
  2. MOTcan you remember ?
    CHIum +...
    MOT*MOT: can you remember who brought Daisy_cat ?
    CHIxxx .
    MOTcan you remember , Becky ?
  3. CHIxxx .
    MOTcan you remember , Becky ?
    MOT*MOT: who [/] who brought # Daisy_cat for you ?
    CHIum no .
    MOTyou can't remember ?
  4. MOTfridge magnet .
    CHIfridge magnet .
    MOT*MOT: Aunty_Janet brought Mummy a fridge magnet , didn't she ?
    CHIfridge magnet .
    MOTI think um # Daisy_cat's a bit noisy though , isn't he ?
  5. CHIhere .
    INVhorse .
    MOT*MOT: why [/] why've you brought horse and cat in .
    CHIthere , Sukie .
    MOToh .
  6. CHIthere , Sukie .
    MOToh .
    MOT*MOT: you haven't brought horse and cat .
    MOTyou've just brought some more fridge magnets in .
    CHII brought a pizza .
  7. MOToh .
    MOTyou haven't brought horse and cat .
    MOT*MOT: you've just brought some more fridge magnets in .
    CHII brought a pizza .
    CHII brought a pizza .

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. Becky eng_british_Manchester_I4.37
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/becky12a.chaBecky 2;3.271,603774.37

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. brought7 · 100.0%