PHPCLANCHILDES with regular expressions

8 matches in 7 utterances

4.50 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (369 utterances, 1,776 words searched).

  1. do you think Tom's good at mending cars ? MOT · eng_british_Manchester_II/warr09a.cha, line 449 · Warren 2;01
  2. and what did Mummy do ? MOT · eng_british_Manchester_II/warr09a.cha, line 494 · Warren 2;01
  3. do you know what this shiny stuff is called ? MOT · eng_british_Manchester_II/warr09a.cha, line 597 · Warren 2;01
  4. what do you want me to do ? MOT · eng_british_Manchester_II/warr09a.cha, line 800 · Warren 2;01
  5. what do you want me to do ? MOT · eng_british_Manchester_II/warr09a.cha, line 800 · Warren 2;01
  6. do you lick bones , Warren ? MOT · eng_british_Manchester_II/warr09a.cha, line 949 · Warren 2;01
  7. do you lick bones , Warren ? MOT · eng_british_Manchester_II/warr09a.cha, line 959 · Warren 2;01
  8. do you want to turn it ? MOT · eng_british_Manchester_II/warr09a.cha, line 985 · Warren 2;01
  1. MOTshall we take it to Tom's ?
    MOTbecause we're going to see Tom later .
    MOT*MOT: do you think Tom's good at mending cars ?
    MOTI think he probably is .
    CHIbrumm@o .
  2. CHIWarren bite bit jigsaw .
    MOTyou did bite the bit of the jigsaw .
    MOT*MOT: and what did Mummy do ?
    MOTMummy shouted at you .
    MOTand then you cried .
  3. CHIlook a light .
    MOTdon't touch .
    MOT*MOT: do you know what this shiny stuff is called ?
    MOTit's called tinsel .
    MOTand look at all the presents underneath .
  4. CHIMummy help .
    CHIMummy help .
    MOT*MOT: what do you want me to do ?
    CHImake a man .
    CHImake a man .
  5. CHIhe's licking the bone , Anna .
    INVis he ?
    MOT*MOT: do you lick bones , Warren ?
    CHIow .
    CHIhurt my .
  6. MOToh dear .
    MOTshall we kiss it better ?
    MOT*MOT: do you lick bones , Warren ?
    CHIpolice+hat .
    MOTpardon ?
  7. MOTwell look at that mess .
    MOTshall we get your train going ?
    MOT*MOT: do you want to turn it ?
    MOTpush it right in .
    MOTback in .

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. Warren eng_british_Manchester_II4.50
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/warr09a.chaWarren 2;1.011,776784.50

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. do8 · 100.0%