PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

3.88 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (484 utterances, 1,805 words searched).

  1. car ? MOT · eng_british_Manchester_II/nic02b.cha, line 236 · Nicole 2;01
  2. there's the car . MOT · eng_british_Manchester_II/nic02b.cha, line 238 · Nicole 2;01
  3. car ? INV · eng_british_Manchester_II/nic02b.cha, line 754 · Nicole 2;01
  4. car . MOT · eng_british_Manchester_II/nic02b.cha, line 756 · Nicole 2;01
  5. and where's the car going ? MOT · eng_british_Manchester_II/nic02b.cha, line 758 · Nicole 2;01
  6. are you going in Jeff's car ? MOT · eng_british_Manchester_II/nic02b.cha, line 1495 · Nicole 2;01
  7. Jeff's car ? RAC · eng_british_Manchester_II/nic02b.cha, line 1507 · Nicole 2;01
  1. eng_british_Manchester_II/nic02b.cha, line 236 · Nicole, 2;1.01
    MOTand what's this ?
    CHI&a car .
    MOT*MOT: car ?
    MOTthere's the car .
    CHIxxx .
  2. eng_british_Manchester_II/nic02b.cha, line 238 · Nicole, 2;1.01
    CHI&a car .
    MOTcar ?
    MOT*MOT: there's the car .
    CHIxxx .
    CHIwhoo whoo whoo whoo whoo okay .
  3. eng_british_Manchester_II/nic02b.cha, line 754 · Nicole, 2;1.01
    MOTnow what are you going to do ?
    CHIcar .
    INV*INV: car ?
    MOTcar .
    MOTand where's the car going ?
  4. eng_british_Manchester_II/nic02b.cha, line 756 · Nicole, 2;1.01
    CHIcar .
    INVcar ?
    MOT*MOT: car .
    MOTand where's the car going ?
    CHIfeet beep^beep@o there .
  5. eng_british_Manchester_II/nic02b.cha, line 758 · Nicole, 2;1.01
    INVcar ?
    MOTcar .
    MOT*MOT: and where's the car going ?
    CHIfeet beep^beep@o there .
    MOTyeah .
  6. eng_british_Manchester_II/nic02b.cha, line 1495 · Nicole, 2;1.01
    CHIbyebye Nana .
    CHI&a &a Jeff car .
    MOT*MOT: are you going in Jeff's car ?
    CHIyeah .
    MOTare you going to work ?
  7. eng_british_Manchester_II/nic02b.cha, line 1507 · Nicole, 2;1.01
    MOTbyebye then .
    CHIJeff car .
    RAC*RAC: Jeff's car ?
    INVJeff takes Daddy to work sometimes +...
    CHIxxx .

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_II3.88
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/nic02b.chaNicole 2;1.011,805773.88

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. car7 · 100.0%