PHPCLANCHILDES with regular expressions

14 matches in 13 utterances

9.20 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (340 utterances, 1,521 words searched).

  1. well shall we take the dress off first ? MOT · eng_british_Manchester_II/warr14b.cha, line 72 · Warren 2;02
  2. oh we're off dolly now , are we ? MOT · eng_british_Manchester_II/warr14b.cha, line 152 · Warren 2;02
  3. oh we're off dolly now , are we ? MOT · eng_british_Manchester_II/warr14b.cha, line 152 · Warren 2;02
  4. shall we put her collar on ? MOT · eng_british_Manchester_II/warr14b.cha, line 155 · Warren 2;02
  5. there we go . MOT · eng_british_Manchester_II/warr14b.cha, line 159 · Warren 2;02
  6. get all the animals out , shall we ? MOT · eng_british_Manchester_II/warr14b.cha, line 347 · Warren 2;02
  7. shall we have a man on an elephant ? MOT · eng_british_Manchester_II/warr14b.cha, line 633 · Warren 2;02
  8. but what are we going to do with this one ? MOT · eng_british_Manchester_II/warr14b.cha, line 748 · Warren 2;02
  9. what are we going to do with this one ? MOT · eng_british_Manchester_II/warr14b.cha, line 751 · Warren 2;02
  10. if we put her legs out . MOT · eng_british_Manchester_II/warr14b.cha, line 915 · Warren 2;02
  11. if we took this truck bit off . MOT · eng_british_Manchester_II/warr14b.cha, line 965 · Warren 2;02
  12. we could sit the men on here . MOT · eng_british_Manchester_II/warr14b.cha, line 967 · Warren 2;02
  13. shall we put some cows out so it can catch the cows ? MOT · eng_british_Manchester_II/warr14b.cha, line 1032 · Warren 2;02
  14. shall we wipe his tears away ? MOT · eng_british_Manchester_II/warr14b.cha, line 1111 · Warren 2;02
  1. CHIput his trouser .
    CHIput his trousers on .
    MOT*MOT: well shall we take the dress off first ?
    CHIyes .
    MOTright .
  2. MOTmake her bottom look big though .
    MOTshe wouldn't thank you for that .
    MOT*MOT: oh we're off dolly now , are we ?
    MOTshall we put her collar on ?
    CHIput this collar .
  3. MOTshe wouldn't thank you for that .
    MOToh we're off dolly now , are we ?
    MOT*MOT: shall we put her collar on ?
    CHIput this collar .
    MOTthere we go .
  4. MOTshall we put her collar on ?
    CHIput this collar .
    MOT*MOT: there we go .
    MOTshe's going to sit and watch you play with the bricks .
    CHIhaving a rest .
  5. MOToh .
    MOTit's going over the doll's trousers .
    MOT*MOT: get all the animals out , shall we ?
    MOTthat's the monkey .
    MOTand the hippo .
  6. MOToh .
    MOTyou've got a man on a tiger and a man on a horse .
    MOT*MOT: shall we have a man on an elephant ?
    CHIyeah .
    MOTthree men riding three animals .
  7. MOTI hope you learn some logic soon , Warren .
    CHIgot two .
    MOT*MOT: but what are we going to do with this one ?
    MOTwhat are we going to do with this one ?
    MOTbashing them won't [: willn't] do anything .
  8. CHIgot two .
    MOTbut what are we going to do with this one ?
    MOT*MOT: what are we going to do with this one ?
    MOTbashing them won't [: willn't] do anything .
    CHIxxx off .
  9. MOThooray .
    MOTnow then .
    MOT*MOT: if we put her legs out .
    MOTnow are you going to thread her legs into the trousers ?
    CHIthat one go in there .
  10. CHIwant take it off .
    MOTI know what you could do , Warren .
    MOT*MOT: if we took this truck bit off .
    MOTwe could sit the men on here .
    CHImen .
  11. MOTI know what you could do , Warren .
    MOTif we took this truck bit off .
    MOT*MOT: we could sit the men on here .
    CHImen .
    CHIwhere 0has [*] other men gone ?
  12. CHIthat one .
    MOTit's a cow+catcher .
    MOT*MOT: shall we put some cows out so it can catch the cows ?
    CHIno .
    CHItake the cows off .
  13. CHIthat the Mummy tiger .
    MOTbaby tiger's crying because you've run over his Mummy .
    MOT*MOT: shall we wipe his tears away ?
    MOToh dear .
    CHIput away now .

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_II9.20
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/warr14b.chaWarren 2;2.181,52113149.20

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. we14 · 100.0%