PHPCLANCHILDES with regular expressions

7 matches in 6 utterances

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

  1. would you like a big brother ? MOT · eng_british_Manchester_II/nic09a.cha, line 780 · Nicole 2;03
  2. would [/] would you like to have a bath with her tonight ? MOT · eng_british_Manchester_II/nic09a.cha, line 1344 · Nicole 2;03
  3. would [/] would you like to have a bath with her tonight ? MOT · eng_british_Manchester_II/nic09a.cha, line 1344 · Nicole 2;03
  4. would you like to show Caroline your bottom lip ? MOT · eng_british_Manchester_II/nic09a.cha, line 1408 · Nicole 2;03
  5. would you like to show Caroline your bottom lip ? MOT · eng_british_Manchester_II/nic09a.cha, line 1413 · Nicole 2;03
  6. would you like to go in the bath with Nicole tonight , Morag ? MOT · eng_british_Manchester_II/nic09a.cha, line 1418 · Nicole 2;03
  7. would you like your seesaw out again tomorrow ? MOT · eng_british_Manchester_II/nic09a.cha, line 1472 · Nicole 2;03
  1. MOTthat's Lucy's big brother , isn't it ?
    CHImmhm .
    MOT*MOT: would you like a big brother ?
    MOThmm ?
    CHIxxx .
  2. MOTshall we put her in the bath tonight with you ?
    CHIno .
    MOT*MOT: would [/] would you like to have a bath with her tonight ?
    MOTno ?
    CHIno .
  3. INVxxx [>] .
    CHIxxx [<] .
    MOT*MOT: would you like to show Caroline your bottom lip ?
    MOThmm ?
    MOTwould you like to show Caroline your bottom lip ?
  4. MOTwould you like to show Caroline your bottom lip ?
    MOThmm ?
    MOT*MOT: would you like to show Caroline your bottom lip ?
    MOTwould you like to go in the bath with Nicole tonight , Morag ?
    MOThmm ?
  5. MOThmm ?
    MOTwould you like to show Caroline your bottom lip ?
    MOT*MOT: would you like to go in the bath with Nicole tonight , Morag ?
    MOThmm ?
    MOTand have a nice bath ?
  6. MOTyes .
    MOTI put it back in the shed .
    MOT*MOT: would you like your seesaw out again tomorrow ?
    CHIyeah .
    MOTall right then .

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;3.172,470672.83

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. would7 · 100.0%