PHPCLANCHILDES with regular expressions

13 matches in 11 utterances

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

  1. is she going to wear the blouse and the trousers ? MOT · eng_british_Manchester_II/warr13b.cha, line 60 · Warren 2;02
  2. well just let me put the doll's dress on and I'll help you to find the train . MOT · eng_british_Manchester_II/warr13b.cha, line 139 · Warren 2;02
  3. he can stand at the front and get smoke in his face . MOT · eng_british_Manchester_II/warr13b.cha, line 248 · Warren 2;02
  4. and there's one <on this coach> [//] on this truck . MOT · eng_british_Manchester_II/warr13b.cha, line 494 · Warren 2;02
  5. there's the bull and there's the cow . MOT · eng_british_Manchester_II/warr13b.cha, line 773 · Warren 2;02
  6. that's a bull and that's a cow . MOT · eng_british_Manchester_II/warr13b.cha, line 783 · Warren 2;02
  7. well there won'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
  8. and then it's put into bottles and Mike brings it to the house and we dri… MOT · eng_british_Manchester_II/warr13b.cha, line 809 · Warren 2;02
  9. and then it's put into bottles and Mike brings it to the house and we drink it . MOT · eng_british_Manchester_II/warr13b.cha, line 809 · Warren 2;02
  10. and then it's put into bottles and Mike brings it to the house and we drink it . MOT · eng_british_Manchester_II/warr13b.cha, line 809 · Warren 2;02
  11. a funnelless engine and a domeless engine . MOT · eng_british_Manchester_II/warr13b.cha, line 1015 · Warren 2;02
  12. and the cab goes behind the funnel bit . MOT · eng_british_Manchester_II/warr13b.cha, line 1104 · Warren 2;02
  13. and where's the driver ? MOT · eng_british_Manchester_II/warr13b.cha, line 1165 · Warren 2;02
  1. MOTshe might get cold with no pants on .
    MOTwhat's she going to wear ?
    MOT*MOT: is she going to wear the blouse and the trousers ?
    MOTis she going to wear these ?
    CHIyeah .
  2. CHIwhere's that train ?
    CHIwhere's that train ?
    MOT*MOT: well just let me put the doll's dress on and I'll help you to find the train .
    CHIlook at that one [*] car .
    MOToh that's a new one .
  3. CHImonkey fit on that one .
    MOThe'll fit on there .
    MOT*MOT: he can stand at the front and get smoke in his face .
    MOTperhaps I'll <sit him> [//] stand him at the back .
    CHIoh look .
  4. CHIanother men .
    MOTthere's another man .
    MOT*MOT: and there's one <on this coach> [//] on this truck .
    CHIthat one 0is [*] going on there .
    CHIthat one go on there in the tower .
  5. CHIa bull .
    CHIthere a bull .
    MOT*MOT: there's the bull and there's the cow .
    MOTcan tell that's a bull because it's got horns .
    CHIanother bull .
  6. CHIanother bull .
    CHIanother bull .
    MOT*MOT: that's a bull and that's a cow .
    CHIwhere 0is [*] the baby cow .
    MOTwell there won't [: willn't] be any baby cows of you run the bull and the cow over with the train .
  7. 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 .
  8. MOTthat's what you get milk from .
    MOTthe special machine that attaches to it squeezes the milk out .
    MOT*MOT: and then it's put into bottles and Mike brings it to the house and we drink it .
    MOTyou saw some cows being milked at the farm with Gary , didn't you ?
    MOTdo you remember ?
  9. MOTa cabless engine .
    MOTa boilerless engine .
    MOT*MOT: a funnelless engine and a domeless engine .
    MOTno lights either .
    MOTthat's a bit of a danger .
  10. MOTnow the funnel bit goes on top of that .
    MOTthat's it .
    MOT*MOT: and the cab goes behind the funnel bit .
    CHIcow+catcher go there .
    MOTthe cab .
  11. MOTthat one does go there .
    MOTthat's it .
    MOT*MOT: and where's the driver ?
    CHIthere .
    CHIlook this the wrong way .

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_II8.59
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/warr13b.chaWarren 2;2.121,51411138.59

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. and13 · 100.0%