PHPCLANCHILDES with regular expressions

14 matches in 14 utterances

10.79 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (262 utterances, 1,298 words searched).

  1. well wake her up then . MOT · eng_british_Manchester_II/warr15b.cha, line 21 · Warren 2;03
  2. well shall I take the things out ? MOT · eng_british_Manchester_II/warr15b.cha, line 43 · Warren 2;03
  3. well it's red and yellow so you're half right . MOT · eng_british_Manchester_II/warr15b.cha, line 98 · Warren 2;03
  4. well that's a funny looking train . MOT · eng_british_Manchester_II/warr15b.cha, line 209 · Warren 2;03
  5. oh well . MOT · eng_british_Manchester_II/warr15b.cha, line 261 · Warren 2;03
  6. well I'm not starting right from the beginning again . MOT · eng_british_Manchester_II/warr15b.cha, line 351 · Warren 2;03
  7. well I didn't really have chance to read it the first time because you tur… MOT · eng_british_Manchester_II/warr15b.cha, line 369 · Warren 2;03
  8. are you going to put this trailer on the back as well ? MOT · eng_british_Manchester_II/warr15b.cha, line 501 · Warren 2;03
  9. well there's nothing to look at . MOT · eng_british_Manchester_II/warr15b.cha, line 521 · Warren 2;03
  10. you can see the water perfectly well with the teddys in it . MOT · eng_british_Manchester_II/warr15b.cha, line 531 · Warren 2;03
  11. well I'll play with this train then . MOT · eng_british_Manchester_II/warr15b.cha, line 616 · Warren 2;03
  12. well you make a tower then pet . MOT · eng_british_Manchester_II/warr15b.cha, line 636 · Warren 2;03
  13. well I never . MOT · eng_british_Manchester_II/warr15b.cha, line 676 · Warren 2;03
  14. it bumped on my toe as well . MOT · eng_british_Manchester_II/warr15b.cha, line 1084 · Warren 2;03
  1. CHIoh .
    CHIhe's asleep .
    MOT*MOT: well wake her up then .
    MOTsit her up and she might open her eyes when you growl like a lion .
    CHIgrr@o .
  2. CHIme [*] find a train .
    CHII find that train .
    MOT*MOT: well shall I take the things out ?
    MOTsee if we can find it .
    CHIthere's that xxx .
  3. MOTour postman does wear red and blue like this , doesn't he ?
    CHIit's a red and blue cab .
    MOT*MOT: well it's red and yellow so you're half right .
    CHIhe's driving the train .
    MOTwhat are you doing to the panda ?
  4. CHIthat go on the back .
    CHIthat 0is [*] going on that .
    MOT*MOT: well that's a funny looking train .
    MOTpoor elephant gets steam and smoke up his nose .
    MOTup his trunk .
  5. MOTAnna's brought all these nice toys and you just want to read Bertie and the bumpy line .
    CHIyes .
    MOT*MOT: oh well .
    MOTno accounting for taste , is there ?
    CHIMummy want to read it .
  6. CHIgone .
    MOToh .
    MOT*MOT: well I'm not starting right from the beginning again .
    MOTright .
    MOTwww .
  7. CHIThomas 0is [*] finding Bertie .
    CHIMummy want to read it again .
    MOT*MOT: well I didn't really have chance to read it the first time because you turned the pages so quickly .
    CHIWarren want to read it again .
    MOTokay .
  8. CHIcrash .
    CHIit's going that way .
    MOT*MOT: are you going to put this trailer on the back as well ?
    CHIyes .
    CHIbrumm@o .
  9. MOTwe don't want water all over the floor .
    CHII want to look .
    MOT*MOT: well there's nothing to look at .
    MOTyou look at the teddys .
    CHImy [*] look in the water .
  10. CHImy [*] look in the water .
    MOTno .
    MOT*MOT: you can see the water perfectly well with the teddys in it .
    MOTyou look at the teddys and the baskets .
    CHIno .
  11. MOTwhoops .
    CHIxxx .
    MOT*MOT: well I'll play with this train then .
    CHIchuff^chuff@o .
    CHIchoo^choo@o .
  12. CHIthe bricks .
    CHImaking a tower .
    MOT*MOT: well you make a tower then pet .
    CHIcross [/] cross that bridge .
    CHIWarren cross the bridge .
  13. CHIthere's a men [*] .
    MOToh yes .
    MOT*MOT: well I never .
    MOTwhere are the other men ?
    CHIanother men [*] .
  14. CHIbumped in the rails .
    MOTyeah .
    MOT*MOT: it bumped on my toe as well .
    MOTwhat're you looking for ?
    CHIthe men .

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_II10.79
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/warr15b.chaWarren 2;3.021,298141410.79

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. well14 · 100.0%