PHPCLANCHILDES with regular expressions

14 matches in 14 utterances

5.93 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (505 utterances, 2,361 words searched).

  1. are you making a train ? MOT · eng_USA_Brown/adam31.cha, line 84 · Adam 3;05
  2. there are his ears # and there's his nose . MOT · eng_USA_Brown/adam31.cha, line 321 · Adam 3;05
  3. are what ? MOT · eng_USA_Brown/adam31.cha, line 754 · Adam 3;05
  4. yes # they are both white # aren't they ? MOT · eng_USA_Brown/adam31.cha, line 803 · Adam 3;05
  5. are you sittin(g) on the eraser ? MOT · eng_USA_Brown/adam31.cha, line 826 · Adam 3;05
  6. goodness # what d(o) you think those are ? MOT · eng_USA_Brown/adam31.cha, line 963 · Adam 3;05
  7. I guess you could read that and it will tell you what those things are . MOT · eng_USA_Brown/adam31.cha, line 1184 · Adam 3;05
  8. no # those are eggs . MOT · eng_USA_Brown/adam31.cha, line 1350 · Adam 3;05
  9. now # d(o) you know what these are ? MOT · eng_USA_Brown/adam31.cha, line 1513 · Adam 3;05
  10. these are houses . MOT · eng_USA_Brown/adam31.cha, line 1517 · Adam 3;05
  11. no # those are not broken . MOT · eng_USA_Brown/adam31.cha, line 1936 · Adam 3;05
  12. hi # how are you ? FAT · eng_USA_Brown/adam31.cha, line 2388 · Adam 3;05
  13. are you giving me one half ? MOT · eng_USA_Brown/adam31.cha, line 2470 · Adam 3;05
  14. are these things to ride on at the nursery school ? URS · eng_USA_Brown/adam31.cha, line 2561 · Adam 3;05
  1. CHIhe going home .
    CHIthere he goes .
    MOT*MOT: are you making a train ?
    CHII gonna make a train .
    CHItaking the people home .
  2. CHIwhat dat look like ?
    MOTit looks like a wolf .
    MOT*MOT: there are his ears # and there's his nose .
    CHII goin(g) draw his mouth .
    CHI<dat's a> [//] # dat his ears .
  3. CHItwo of them .
    CHIdose are rock .
    MOT*MOT: are what ?
    CHIdose are lions .
    MOTlions .
  4. MOTwhere's the box ?
    CHIdat [//] # <do I> [//] # dat's a color .
    MOT*MOT: yes # they are both white # aren't they ?
    MOTbut you don't use that on that side .
    MOTyou use that on the green side .
  5. MOTwhere's the eraser ?
    CHIwhat (e)raser ?
    MOT*MOT: are you sittin(g) on the eraser ?
    CHIdere .
    MOTnow do you want to wipe that off ?
  6. CHIhow # how you open dis ?
    CHIopen dese .
    MOT*MOT: goodness # what d(o) you think those are ?
    CHIwheels .
    MOTwheels ?
  7. CHIde eggs and the milk .
    CHIwhere we put next to +...
    MOT*MOT: I guess you could read that and it will tell you what those things are .
    CHIwhat are dese ?
    CHIwhere ?
  8. MOTyou've got the two dozen eggs on properly .
    CHItake these off ?
    MOT*MOT: no # those are eggs .
    MOTthey're on properly .
    MOTthey won't fall off and break .
  9. CHIup here ?
    MOTmmhm .
    MOT*MOT: now # d(o) you know what these are ?
    CHIwhat are these ?
    MOTthese are houses .
  10. MOTnow # d(o) you know what these are ?
    CHIwhat are these ?
    MOT*MOT: these are houses .
    MOTpeople who want milk and butter and eggs .
    CHIand the man said # who dere ?
  11. CHIdese are not +...
    CHIdese are not broken .
    MOT*MOT: no # those are not broken .
    MOTwhere're you going to put those ?
    CHIput them on this brush ?
  12. CHIhe made it .
    CHIdere a garage .
    FAT*FAT: hi # how are you ?
    CHIhi .
    CHIlook .
  13. CHIok .
    CHIone half .
    MOT*MOT: are you giving me one half ?
    CHIputting in on the truck .
    CHIoh # dey had a accident .
  14. CHIdid you made a mistake ?
    MOTI guess so .
    URS*URS: are these things to ride on at the nursery school ?
    CHIyep .
    URSwhat kind of things ?

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. Adam eng_USA_Brown5.93
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/adam31.chaAdam 3;5.152,36114145.93

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. are14 · 100.0%