PHPCLANCHILDES with regular expressions

7 matches in 6 utterances

2.48 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (512 utterances, 2,822 words searched).

  1. Norman_Price banged his gun ,, didn't he ? MOT · eng_british_Manchester_I/aran32b.cha, line 96 · Aran 2;10
  2. are these his handcuffs ? MOT · eng_british_Manchester_I/aran32b.cha, line 861 · Aran 2;10
  3. isn't P_C_Plod strong enough on his own ? MOT · eng_british_Manchester_I/aran32b.cha, line 947 · Aran 2;10
  4. he went out and he shot his gun again and who dropped his ice+cream ? MOT · eng_british_Manchester_I/aran32b.cha, line 1111 · Aran 2;10
  5. he went out and he shot his gun again and who dropped his ice+cream ? MOT · eng_british_Manchester_I/aran32b.cha, line 1111 · Aran 2;10
  6. there was his big red tongue hanging out . MOT · eng_british_Manchester_I/aran32b.cha, line 1773 · Aran 2;10
  7. did he drop all the paint all over his trousers ? MOT · eng_british_Manchester_I/aran32b.cha, line 1836 · Aran 2;10
  1. MOTwell I'm not going to put these up to look at ,, <are they> [//] am I ?
    MOTyou know what happened .
    MOT*MOT: Norman_Price banged his gun ,, didn't he ?
    MOTjust as Dyllis was putting some eggs on the counter .
    CHIand Dyllis +...
  2. CHIP_C_Plod .
    CHII 0am [*] going to ring him up .
    MOT*MOT: are these his handcuffs ?
    CHIyeah .
    CHIyou snatched them off me .
  3. MOToh backup crew is this ?
    CHIyeah .
    MOT*MOT: isn't P_C_Plod strong enough on his own ?
    CHIno .
    CHIhe's not .
  4. MOTyou know what Norman_Price did afterwards , didn't you ?
    CHIwhat ?
    MOT*MOT: he went out and he shot his gun again and who dropped his ice+cream ?
    CHIAran .
    MOTAran and Nicola .
  5. MOTit wasn't a dragon ,, was it ?
    MOTit was a wolf .
    MOT*MOT: there was his big red tongue hanging out .
    CHIit's a dragon .
    MOTit's a wolf .
  6. CHIyes .
    MOTthat's what Postman_Pat did ,, isn't it ?
    MOT*MOT: did he drop all the paint all over his trousers ?
    CHIyeah .
    MOTand what happened then ?

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_I2.48
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/aran32b.chaAran 2;10.072,822672.48

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. his7 · 100.0%