PHPCLANCHILDES with regular expressions

15 matches in 14 utterances

8.41 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (392 utterances, 1,783 words searched).

  1. where are they walking out to ? MOT · eng_british_Manchester_II/warr13a.cha, line 377 · Warren 2;02
  2. they don't stand on there . MOT · eng_british_Manchester_II/warr13a.cha, line 432 · Warren 2;02
  3. what do engines say as they come towards the station ? MOT · eng_british_Manchester_II/warr13a.cha, line 481 · Warren 2;02
  4. what are they ? MOT · eng_british_Manchester_II/warr13a.cha, line 514 · Warren 2;02
  5. they fall over , don't they ? MOT · eng_british_Manchester_II/warr13a.cha, line 532 · Warren 2;02
  6. they fall over , don't they ? MOT · eng_british_Manchester_II/warr13a.cha, line 532 · Warren 2;02
  7. because people can't ride in tenders , can they ? MOT · eng_british_Manchester_II/warr13a.cha, line 546 · Warren 2;02
  8. there they are . MOT · eng_british_Manchester_II/warr13a.cha, line 556 · Warren 2;02
  9. are they ready to go ? MOT · eng_british_Manchester_II/warr13a.cha, line 560 · Warren 2;02
  10. are they ready to go ? MOT · eng_british_Manchester_II/warr13a.cha, line 574 · Warren 2;02
  11. they're not +//. MOT · eng_british_Manchester_II/warr13a.cha, line 590 · Warren 2;02
  12. are they going to push Henry ? MOT · eng_british_Manchester_II/warr13a.cha, line 844 · Warren 2;02
  13. there's somebody's face there and they're missing a helmet . MOT · eng_british_Manchester_II/warr13a.cha, line 1216 · Warren 2;02
  14. two pairs of eyes are better than one , aren't they ? MOT · eng_british_Manchester_II/warr13a.cha, line 1268 · Warren 2;02
  15. yeah but they're discarded in the corner . INV · eng_british_Manchester_II/warr13a.cha, line 1314 · Warren 2;02
  1. CHIhe's walking out .
    MOTyeah .
    MOT*MOT: where are they walking out to ?
    CHIthe zoo .
    MOTyou've been to a zoo .
  2. CHIWarren .
    MOTno .
    MOT*MOT: they don't stand on there .
    MOTI thought it was flat but it isn't .
    MOTtrees up .
  3. MOTis he going to stop at the station for some people to get off ?
    CHIyeah .
    MOT*MOT: what do engines say as they come towards the station ?
    CHIengine say beep^beep@o .
    MOTthat's right .
  4. CHIlook at that .
    CHItwo ones .
    MOT*MOT: what are they ?
    CHIoh dear .
    MOTyou knocked the trees down .
  5. MOTmy goodness .
    MOTit isn't a very good floor for standing these trees up .
    MOT*MOT: they fall over , don't they ?
    CHIpeople getting on .
    CHIno .
  6. CHIthey 0are [*] getting in .
    MOTwell if people are getting in I think he needs carriages .
    MOT*MOT: because people can't ride in tenders , can they ?
    CHIxxx .
    CHIxxx in tenders .
  7. CHIxxx in tenders .
    MOTwell make sure the carriages are next to the platform .
    MOT*MOT: there they are .
    MOTpeople climbing in .
    MOTare they ready to go ?
  8. MOTthere they are .
    MOTpeople climbing in .
    MOT*MOT: are they ready to go ?
    MOTwave the green flag .
    MOTblow the whistle .
  9. CHIpeople getting in .
    MOTyeah .
    MOT*MOT: are they ready to go ?
    CHIno .
    CHIno .
  10. MOTokay .
    CHIgo in the tunnel .
    MOT*MOT: they're not +//.
    MOToh dear .
    MOTwe've had a big pile up here .
  11. CHIbrumm@o .
    MOTwhat are these trains doing ?
    MOT*MOT: are they going to push Henry ?
    CHIxxx .
    CHI<dear dear> [/] dear .
  12. MOTwhere does that piece go do you think ?
    CHIover there .
    MOT*MOT: there's somebody's face there and they're missing a helmet .
    MOTcan you see a helmet with no face ?
    MOTon here .
  13. CHIoh there it is .
    MOTthank you .
    MOT*MOT: two pairs of eyes are better than one , aren't they ?
    CHIthere men's feet .
    MOTright .
  14. CHIxxx .
    MOThave you found that man's feet yet ?
    INV*INV: yeah but they're discarded in the corner .
    MOThave you discarded them ?
    MOTwhat are those ?

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_II8.41
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/warr13a.chaWarren 2;2.121,78314158.41

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. they15 · 100.0%