PHPCLANCHILDES with regular expressions

14 matches in 14 utterances

11.24 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (291 utterances, 1,245 words searched).

  1. Sarah # I brought something for you to look at . GAI · eng_USA_Brown/sarah102.cha, line 247 · Sarah 4;03
  2. because I thought you might like to look at it . GAI · eng_USA_Brown/sarah102.cha, line 343 · Sarah 4;03
  3. she's # cutting the wheat to make the flour . FAT · eng_USA_Brown/sarah102.cha, line 468 · Sarah 4;03
  4. he must have to duck when # when he goes through the door # huh ? FAT · eng_USA_Brown/sarah102.cha, line 579 · Sarah 4;03
  5. you just want to be pet . MOT · eng_USA_Brown/sarah102.cha, line 586 · Sarah 4;03
  6. what are you trying to think of ? GAI · eng_USA_Brown/sarah102.cha, line 623 · Sarah 4;03
  7. next year you'll probably be able to read these books . FAT · eng_USA_Brown/sarah102.cha, line 679 · Sarah 4;03
  8. you're readin(g) from this side to that side . FAT · eng_USA_Brown/sarah102.cha, line 777 · Sarah 4;03
  9. you're reading from left to right . FAT · eng_USA_Brown/sarah102.cha, line 786 · Sarah 4;03
  10. it can be whomever you want it to be . GAI · eng_USA_Brown/sarah102.cha, line 818 · Sarah 4;03
  11. xxx something like that to do xxx . MOT · eng_USA_Brown/sarah102.cha, line 940 · Sarah 4;03
  12. know how to make what ? MOT · eng_USA_Brown/sarah102.cha, line 1089 · Sarah 4;03
  13. you know how to spell it . MOT · eng_USA_Brown/sarah102.cha, line 1126 · Sarah 4;03
  14. you know how to spell it . MOT · eng_USA_Brown/sarah102.cha, line 1136 · Sarah 4;03
  1. MOTwhere # asleep ?
    CHIyep .
    GAI*GAI: Sarah # I brought something for you to look at .
    MOToh Sarah # c(o)me (h)ere look .
    CHIwhat ?
  2. CHIwhy d(o) ya bring that one ?
    GAIwhy ?
    GAI*GAI: because I thought you might like to look at it .
    CHII have to look at it .
    CHIbears # and pigs # (a)n(d) cats .
  3. FATno # that's not little chickies .
    CHIwhat ?
    FAT*FAT: she's # cutting the wheat to make the flour .
    CHIoh .
    FATsee # and that's how they make bread # see ?
  4. FATthat deer looks awfully sad .
    FATdon't you think so ?
    FAT*FAT: he must have to duck when # when he goes through the door # huh ?
    CHIyeah .
    FATtall horse .
  5. CHIyeah .
    FATtall horse .
    MOT*MOT: you just want to be pet .
    MOTlook at you # you're brushed and sheddin(g) .
    MOTnow .
  6. CHIcome [/] come up the grass with owl's comin(g) up <your house> [//] the zoo .
    CHIunless you <all's@c> [/] all's@c and +...
    GAI*GAI: what are you trying to think of ?
    CHI+" not let you go in the tree .
    CHIsaid the bunny+rabbit .
  7. FATshow me the word .
    FATthose are all small words .
    FAT*FAT: next year you'll probably be able to read these books .
    MOTare you kiddin(g) me ?
    FATwhat # two years ?
  8. CHIshow me where # owl .
    FATno # y(ou) know you're goin(g) backwards here too .
    FAT*FAT: you're readin(g) from this side to that side .
    FATwhere's your right ?
    CHIum .
  9. CHIum .
    FATwhere's your left ?
    FAT*FAT: you're reading from left to right .
    FATwhere's your left ?
    CHIleft ?
  10. FATwhat's his name ?
    FATthe red [/] red head ?
    GAI*GAI: it can be whomever you want it to be .
    CHIis it Jackie Gleason # huh ?
    FATJackie Gleason got red hair ?
  11. MOTmaybe she ought ta get something like that .
    FAThmm ?
    MOT*MOT: xxx something like that to do xxx .
    CHIawoh .
    CHIthe big # one's # not glued .
  12. CHII know how to make corners .
    CHIwanna see ?
    MOT*MOT: know how to make what ?
    CHII know how to make corners .
    MOTcorners ?
  13. CHIum .
    CHI# what comes after c@l ?
    MOT*MOT: you know how to spell it .
    MOThow d(o) ya spell cat ?
    CHIa@l .
  14. MOTyeah .
    CHIum # what comes after c@l ?
    MOT*MOT: you know how to spell it .
    MOThow d(o) ya spell cat ?
    CHIa@l .

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. Sarah eng_USA_Brown11.24
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah102.chaSarah 4;3.261,245141411.24

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.

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