PHPCLANCHILDES with regular expressions

10 matches in 10 utterances

6.61 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (312 utterances, 1,514 words searched).

  1. she might get cold with no pants on . MOT · eng_british_Manchester_II/warr13b.cha, line 56 · Warren 2;02
  2. I wouldn't fancy sitting in a truck with a baby tiger behind me . MOT · eng_british_Manchester_II/warr13b.cha, line 236 · Warren 2;02
  3. who else is going on the trailer with the baby tiger ? MOT · eng_british_Manchester_II/warr13b.cha, line 305 · Warren 2;02
  4. it is the Mummy cow you're knocking over with the train . MOT · eng_british_Manchester_II/warr13b.cha, line 736 · Warren 2;02
  5. shall we put the goat in there with the elephant ? MOT · eng_british_Manchester_II/warr13b.cha, line 760 · Warren 2;02
  6. …n't [: willn't] be any baby cows of you run the bull and the cow over with the train . MOT · eng_british_Manchester_II/warr13b.cha, line 789 · Warren 2;02
  7. you saw some cows being milked at the farm with Gary , didn't you ? MOT · eng_british_Manchester_II/warr13b.cha, line 814 · Warren 2;02
  8. seeing the cows being milked with those machines . MOT · eng_british_Manchester_II/warr13b.cha, line 821 · Warren 2;02
  9. be gentle with them . MOT · eng_british_Manchester_II/warr13b.cha, line 933 · Warren 2;02
  10. she'd have nothing to play with at home . MOT · eng_british_Manchester_II/warr13b.cha, line 944 · Warren 2;02
  1. eng_british_Manchester_II/warr13b.cha, line 56 · Warren, 2;2.12
    MOTno .
    MOTI think she wants to keep her pants on .
    MOT*MOT: she might get cold with no pants on .
    MOTwhat's she going to wear ?
    MOTis she going to wear the blouse and the trousers ?
  2. eng_british_Manchester_II/warr13b.cha, line 236 · Warren, 2;2.12
    CHIoh that one .
    CHIa baby tiger .
    MOT*MOT: I wouldn't fancy sitting in a truck with a baby tiger behind me .
    MOTnow the monkey doesn't sit like that , Warren .
    MOTthe monkey has to stand up .
  3. eng_british_Manchester_II/warr13b.cha, line 305 · Warren, 2;2.12
    MOTwhy is he sad ?
    CHIthat train's gone .
    MOT*MOT: who else is going on the trailer with the baby tiger ?
    CHIthe giraffe .
    CHIthe giraffe .
  4. eng_british_Manchester_II/warr13b.cha, line 736 · Warren, 2;2.12
    CHIa Mummy cow .
    MOTyes .
    MOT*MOT: it is the Mummy cow you're knocking over with the train .
    MOTI don't think there is baby cow .
    MOTa baby horse .
  5. eng_british_Manchester_II/warr13b.cha, line 760 · Warren, 2;2.12
    MOToh there's a goat here .
    MOTyou've been sitting on a goat .
    MOT*MOT: shall we put the goat in there with the elephant ?
    CHIthat one's too small .
    MOThere's a bull .
  6. eng_british_Manchester_II/warr13b.cha, line 789 · Warren, 2;2.12
    MOTthat's a bull and that's a cow .
    CHIwhere 0is [*] the baby cow .
    MOT*MOT: well there won't [: willn't] be any baby cows of you run the bull and the cow over with the train .
    CHIlook at that one ?
    MOTthat's the cow .
  7. eng_british_Manchester_II/warr13b.cha, line 814 · Warren, 2;2.12
    MOTthe special machine that attaches to it squeezes the milk out .
    MOTand then it's put into bottles and Mike brings it to the house and we drink it .
    MOT*MOT: you saw some cows being milked at the farm with Gary , didn't you ?
    MOTdo you remember ?
    MOTat the stinky farm .
  8. eng_british_Manchester_II/warr13b.cha, line 821 · Warren, 2;2.12
    MOTdo you remember ?
    MOTat the stinky farm .
    MOT*MOT: seeing the cows being milked with those machines .
    MOTdo you remember ?
    CHIremember Mummy ?
  9. eng_british_Manchester_II/warr13b.cha, line 933 · Warren, 2;2.12
    MOToh .
    MOTno .
    MOT*MOT: be gentle with them .
    MOTremember they're not your toys , are they ?
    MOTwhose toys are they ?
  10. eng_british_Manchester_II/warr13b.cha, line 944 · Warren, 2;2.12
    MOTAnna's toys .
    MOTyou're not to break her toys .
    MOT*MOT: she'd have nothing to play with at home .
    CHIoh train's come off again .
    MOTwell Warren had better put the train back together 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. Warren eng_british_Manchester_II6.61
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/warr13b.chaWarren 2;2.121,51410106.61

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. with10 · 100.0%