PHPCLANCHILDES with regular expressions

13 matches in 13 utterances

7.96 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (326 utterances, 1,634 words searched).

  1. have you got a dog ? MOT · eng_british_Manchester_II/warr24b.cha, line 112 · Warren 2;06
  2. have you got a cat ? MOT · eng_british_Manchester_II/warr24b.cha, line 124 · Warren 2;06
  3. so why are you buying cat+food and dog food if you've got no cat and no dog ? MOT · eng_british_Manchester_II/warr24b.cha, line 128 · Warren 2;06
  4. I got it . MOT · eng_british_Manchester_II/warr24b.cha, line 204 · Warren 2;06
  5. it went all over its body and it got very wet . MOT · eng_british_Manchester_II/warr24b.cha, line 208 · Warren 2;06
  6. you've got a hot peach slice there . MOT · eng_british_Manchester_II/warr24b.cha, line 252 · Warren 2;06
  7. you've got some dog food some cat+food some oranges and some things in your egg … MOT · eng_british_Manchester_II/warr24b.cha, line 300 · Warren 2;06
  8. it's got to go in that tipper truck . MOT · eng_british_Manchester_II/warr24b.cha, line 645 · Warren 2;06
  9. you've got all that shopping in there . MOT · eng_british_Manchester_II/warr24b.cha, line 870 · Warren 2;06
  10. have I got all this shopping ? INV · eng_british_Manchester_II/warr24b.cha, line 883 · Warren 2;06
  11. that poor person's not got a very good view out of the train , has he with that tower of bricks … MOT · eng_british_Manchester_II/warr24b.cha, line 974 · Warren 2;06
  12. she's got a much better view now , hasn't she ? MOT · eng_british_Manchester_II/warr24b.cha, line 983 · Warren 2;06
  13. you've got little bits sticking out at the sides . MOT · eng_british_Manchester_II/warr24b.cha, line 1045 · Warren 2;06
  1. MOTthere's tins of beans .
    MOTyou've just put in a tin of dog food .
    MOT*MOT: have you got a dog ?
    CHIno .
    MOTno .
  2. MOTand what's in there ?
    CHIcat+food .
    MOT*MOT: have you got a cat ?
    CHIno .
    MOTso why are you buying cat+food and dog food if you've got no cat and no dog ?
  3. MOThave you got a cat ?
    CHIno .
    MOT*MOT: so why are you buying cat+food and dog food if you've got no cat and no dog ?
    CHI<cat poo> [/] cat poo is gone out of Sue's garden .
    MOTyes .
  4. MOTand the cat couldn't move .
    MOTin mid action .
    MOT*MOT: I got it .
    CHIMummy put it on his tail ?
    MOTit went all over its body and it got very wet .
  5. MOTI got it .
    CHIMummy put it on his tail ?
    MOT*MOT: it went all over its body and it got very wet .
    MOTI haven't seen that cat since actually .
    CHIyes .
  6. MOTput a peach slice in .
    MOTthere .
    MOT*MOT: you've got a hot peach slice there .
    CHIgot a hot .
    MOTpeach slice in a roll .
  7. CHIand Warren like that end .
    MOTwhat else are you going to buy ?
    MOT*MOT: you've got some dog food some cat+food some oranges and some things in your egg box .
    CHIgo to find a lady .
    MOTcan you put in some bananas please ?
  8. CHII put that next to there .
    MOTyou've bought so much shopping , haven't you , Warren ?
    MOT*MOT: it's got to go in that tipper truck .
    MOTit's amazing .
    CHIthat one is back in the tipper .
  9. MOTare you going to tip it into the bag ?
    MOTnow you pull forwards a little .
    MOT*MOT: you've got all that shopping in there .
    CHII have a little bag .
    CHIa little feel [?] .
  10. CHIthat's your bag .
    INVoh thank you .
    INV*INV: have I got all this shopping ?
    CHII 0am [*] having this now .
    CHII have this .
  11. CHItwo six colors .
    CHIoh dear .
    MOT*MOT: that poor person's not got a very good view out of the train , has he with that tower of bricks in front of it ?
    CHIgo move these bricks .
    MOTthere .
  12. CHIgo move these bricks .
    MOTthere .
    MOT*MOT: she's got a much better view now , hasn't she ?
    MOTare they talking to each other ?
    CHIno .
  13. MOTthat's it .
    MOTlook .
    MOT*MOT: you've got little bits sticking out at the sides .
    MOTthat looks nice , doesn't it ?
    MOTwhat are you after 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_II7.96
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/warr24b.chaWarren 2;6.041,63413137.96

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. got13 · 100.0%