PHPCLANCHILDES with regular expressions

14 matches in 14 utterances

12.70 per 1,000 words of the child (CHI), in 1 of 1 transcripts (309 utterances, 1,102 words searched).

  1. hey we saw this in the zoo . CHI · eng_USA_Brown/sarah094.cha, line 27 · Sarah 4;02
  2. was this is the boat we saw ? CHI · eng_USA_Brown/sarah094.cha, line 256 · Sarah 4;02
  3. what is this # Mommy ? CHI · eng_USA_Brown/sarah094.cha, line 659 · Sarah 4;02
  4. and down this way . CHI · eng_USA_Brown/sarah094.cha, line 855 · Sarah 4;02
  5. oh # this is no good . CHI · eng_USA_Brown/sarah094.cha, line 969 · Sarah 4;02
  6. watch this . CHI · eng_USA_Brown/sarah094.cha, line 1048 · Sarah 4;02
  7. guess what this is . CHI · eng_USA_Brown/sarah094.cha, line 1050 · Sarah 4;02
  8. what's this ? CHI · eng_USA_Brown/sarah094.cha, line 1078 · Sarah 4;02
  9. now this side . CHI · eng_USA_Brown/sarah094.cha, line 1113 · Sarah 4;02
  10. I'm gonna cut all this out . CHI · eng_USA_Brown/sarah094.cha, line 1158 · Sarah 4;02
  11. this is a storm . CHI · eng_USA_Brown/sarah094.cha, line 1185 · Sarah 4;02
  12. this how you make water . CHI · eng_USA_Brown/sarah094.cha, line 1192 · Sarah 4;02
  13. hey # watch this . CHI · eng_USA_Brown/sarah094.cha, line 1219 · Sarah 4;02
  14. then you do this # mmhm . CHI · eng_USA_Brown/sarah094.cha, line 1277 · Sarah 4;02
  1. eng_USA_Brown/sarah094.cha, line 27 · Sarah, 4;2.01
    CHIand not that .
    CHInot that .
    CHI*CHI: hey we saw this in the zoo .
    CHIin the zoo .
    MELwhat is that ?
  2. eng_USA_Brown/sarah094.cha, line 256 · Sarah, 4;2.01
    FATGraves # uhhuh .
    MOTit was Graves .
    CHI*CHI: was this is the boat we saw ?
    CHIhmm ?
    CHIwhat boat ?
  3. eng_USA_Brown/sarah094.cha, line 659 · Sarah, 4;2.01
    MELshe's a cute dog .
    CHIand you're the +...
    CHI*CHI: what is this # Mommy ?
    MOTwhat ?
    CHIback scratch .
  4. eng_USA_Brown/sarah094.cha, line 855 · Sarah, 4;2.01
    CHIxxx that way .
    MOTthen that way .
    CHI*CHI: and down this way .
    MOTno # this way .
    MOTle(t) me get a piece of paper .
  5. eng_USA_Brown/sarah094.cha, line 969 · Sarah, 4;2.01
    CHIlike that # huh ?
    MOToh # Sarah .
    CHI*CHI: oh # this is no good .
    MOTthis is an a@l .
    MOTdown # like a tent .
  6. eng_USA_Brown/sarah094.cha, line 1048 · Sarah, 4;2.01
    MOTmake a xxx .
    CHIdoesn't stand up .
    CHI*CHI: watch this .
    CHIguess what this is .
    MOTI don't know .
  7. eng_USA_Brown/sarah094.cha, line 1050 · Sarah, 4;2.01
    CHIdoesn't stand up .
    CHIwatch this .
    CHI*CHI: guess what this is .
    MOTI don't know .
    MOTyou tell me .
  8. eng_USA_Brown/sarah094.cha, line 1078 · Sarah, 4;2.01
    MOTcommeration@c ?
    CHIyeah .
    CHI*CHI: what's this ?
    MOTthat's a commeration@c .
    CHIthat's nobody .
  9. eng_USA_Brown/sarah094.cha, line 1113 · Sarah, 4;2.01
    CHIput another +...
    MOTnow over this side .
    CHI*CHI: now this side .
    MOTno go this way .
    CHIthat's a p@l # I mean that's d@l .
  10. eng_USA_Brown/sarah094.cha, line 1158 · Sarah, 4;2.01
    CHIMommy # get the scissors .
    CHII'm gonna write something # in [?] two [?] .
    CHI*CHI: I'm gonna cut all this out .
    MOTyou gonna cut all this out ?
    CHIall my abcs out .
  11. eng_USA_Brown/sarah094.cha, line 1185 · Sarah, 4;2.01
    MOTthat's very good .
    CHIlooks like a cloud .
    CHI*CHI: this is a storm .
    MOTxxx looking for these xxx here it is .
    CHIwater # see ?
  12. eng_USA_Brown/sarah094.cha, line 1192 · Sarah, 4;2.01
    MOTxxx looking for these xxx here it is .
    CHIwater # see ?
    CHI*CHI: this how you make water .
    CHIyou scribble like scribble # see ?
    MELoh # that's water ?
  13. eng_USA_Brown/sarah094.cha, line 1219 · Sarah, 4;2.01
    MOTnot that big .
    MOTthat's a little bit too big .
    CHI*CHI: hey # watch this .
    CHIthen you g(o) like that .
    CHIknow what that is ?
  14. eng_USA_Brown/sarah094.cha, line 1277 · Sarah, 4;2.01
    MOTyeah # that's a tree .
    MOThow about that ?
    CHI*CHI: then you do this # mmhm .
    CHIlike that # do you ?
    MOTyeah .

Matches by age

One dot per transcript: matches per 1,000 words of the child (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_Brown12.70
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah094.chaSarah 4;2.011,102141412.70

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. this14 · 100.0%