PHPCLANCHILDES with regular expressions

4 matches in 4 utterances

2.51 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (461 utterances, 1,593 words searched).

  1. which one do you want to do now ? MOT · eng_british_Manchester_I/becky16a.cha, line 318 · Becky 2;05
  2. it says which mouse finds cheese ? MOT · eng_british_Manchester_I/becky16a.cha, line 333 · Becky 2;05
  3. what [//] which is red ? MOT · eng_british_Manchester_I/becky16a.cha, line 466 · Becky 2;05
  4. which one ? MOT · eng_british_Manchester_I/becky16a.cha, line 1489 · Becky 2;05
  1. eng_british_Manchester_I/becky16a.cha, line 318 · Becky, 2;5.08
    CHIthere .
    CHIgoing find anothers@n .
    MOT*MOT: which one do you want to do now ?
    CHIa mouse .
    CHII just find a mouse .
  2. eng_british_Manchester_I/becky16a.cha, line 333 · Becky, 2;5.08
    MOTI don't think you have to look for a mouse actually .
    MOTyou +//.
    MOT*MOT: it says which mouse finds cheese ?
    MOTso do you think you might look +...
    MOTcan you look for some cheese ?
  3. eng_british_Manchester_I/becky16a.cha, line 466 · Becky, 2;5.08
    CHIyes .
    CHIit is .
    MOT*MOT: what [//] which is red ?
    CHIthat's red .
    MOTwhere ?
  4. eng_british_Manchester_I/becky16a.cha, line 1489 · Becky, 2;5.08
    CHIjust find +...
    CHIwe just find that go .
    MOT*MOT: which one ?
    CHIthat one .
    MOTmmhm .

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_I2.51
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/becky16a.chaBecky 2;5.081,593442.51

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. which4 · 100.0%