PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

2.33 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (600 utterances, 3,010 words searched).

  1. it had some policemen in . MOT · eng_british_Manchester_I/aran08a.cha, line 233 · Aran 2;01
  2. those two policemen in the Gumdrop book had the helmets on their heads ,, didn't they ? MOT · eng_british_Manchester_I/aran08a.cha, line 402 · Aran 2;01
  3. that little piggy had roast beef . MOT · eng_british_Manchester_I/aran08a.cha, line 1011 · Aran 2;01
  4. and this little piggy had none . MOT · eng_british_Manchester_I/aran08a.cha, line 1015 · Aran 2;01
  5. this little piggy had roast beef . MOT · eng_british_Manchester_I/aran08a.cha, line 1052 · Aran 2;01
  6. and this little piggy had none . MOT · eng_british_Manchester_I/aran08a.cha, line 1056 · Aran 2;01
  7. you had a scraper ,, didn't you ? MOT · eng_british_Manchester_I/aran08a.cha, line 1229 · Aran 2;01
  1. MOTcan you put the policeman back together again ?
    MOTwe saw that book with Gumdrop in ,, didn't we ?
    MOT*MOT: it had some policemen in .
    MOTcan you find the policemen ?
    CHIno I can't .
  2. MOTwe said that that's a helmet ,, didn't we ?
    MOThe puts that on his head ,, doesn't he ?
    MOT*MOT: those two policemen in the Gumdrop book had the helmets on their heads ,, didn't they ?
    CHIyeah .
    CHIyeah .
  3. MOTthat's beef ,, isn't it ?
    CHIbeef .
    MOT*MOT: that little piggy had roast beef .
    CHIgot .
    MOTand this little piggy had none .
  4. MOTthat little piggy had roast beef .
    CHIgot .
    MOT*MOT: and this little piggy had none .
    CHII 0have [*] got a finger .
    MOTand what's the matter with this little piggy ?
  5. CHIxxx .
    MOTand this little piggy stayed at home .
    MOT*MOT: this little piggy had roast beef .
    CHIthat one cry .
    MOTand this little piggy had none .
  6. MOTthis little piggy had roast beef .
    CHIthat one cry .
    MOT*MOT: and this little piggy had none .
    MOTand this little piggy cried whee all the way home .
    MOTwhat's wrong with that toe ?
  7. MOTa screwdriver .
    MOTand what else did you have ?
    MOT*MOT: you had a scraper ,, didn't you ?
    MOTmmhm .
    MOTwere you doing lots of jobs around the garage ?

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. Aran eng_british_Manchester_I2.33
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/aran08a.chaAran 2;1.283,010772.33

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. had7 · 100.0%