PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

2.89 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (550 utterances, 2,077 words searched).

  1. well . MOT · eng_british_Manchester_II/nic22a.cha, line 672 · Nicole 2;07
  2. well . MOT · eng_british_Manchester_II/nic22a.cha, line 737 · Nicole 2;07
  3. well . MOT · eng_british_Manchester_II/nic22a.cha, line 809 · Nicole 2;07
  4. well . MOT · eng_british_Manchester_II/nic22a.cha, line 900 · Nicole 2;07
  5. don't think I've cooked it quite well enough , Nicole this time . MOT · eng_british_Manchester_II/nic22a.cha, line 973 · Nicole 2;07
  6. does Caroline want some as well ? MOT · eng_british_Manchester_II/nic22a.cha, line 980 · Nicole 2;07
  1. eng_british_Manchester_II/nic22a.cha, line 672 · Nicole, 2;7.12
    MOTwhat color's the jumper ?
    CHIred .
    MOT*MOT: well .
    MOTif that's red I think you need to go to see an optician .
    MOTwhat color is it ?
  2. eng_british_Manchester_II/nic22a.cha, line 737 · Nicole, 2;7.12
    MOTare you cold ?
    CHIyeah .
    MOT*MOT: well .
    MOTyou will be if you keep taking the trainers off .
    MOTwilln't you ?
  3. eng_british_Manchester_II/nic22a.cha, line 809 · Nicole, 2;7.12
    CHIcold .
    CHIcold .
    MOT*MOT: well .
    MOTthey will be cold without their shoes on , willn't they ?
    CHIcold , look .
  4. eng_british_Manchester_II/nic22a.cha, line 900 · Nicole, 2;7.12
    MOTshall we have the dominos or the fish out ?
    CHIno .
    MOT*MOT: well .
    MOTwhat do you want to play with now ?
    MOTwhat do you want to play with ?
  5. eng_british_Manchester_II/nic22a.cha, line 973 · Nicole, 2;7.12
    INVerr .
    MOTxxx .
    MOT*MOT: don't think I've cooked it quite well enough , Nicole this time .
    MOTmmhm .
    CHIand that Caroline's .
  6. eng_british_Manchester_II/nic22a.cha, line 980 · Nicole, 2;7.12
    MOTmmhm .
    CHIand that Caroline's .
    MOT*MOT: does Caroline want some as well ?
    MOTxxx .
    MOTthere you go , Caroline .

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_II2.89
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/nic22a.chaNicole 2;7.122,077662.89

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. well6 · 100.0%