PHPCLANCHILDES with regular expressions

12 matches in 12 utterances

7.87 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (370 utterances, 1,524 words searched).

  1. you think you're kiddin(g) me . GLO · eng_USA_Brown/sarah047.cha, line 84 · Sarah 3;02
  2. you want to give it to me # and I'll make him talk to you . GLO · eng_USA_Brown/sarah047.cha, line 99 · Sarah 3;02
  3. o:h # tell me about it . GLO · eng_USA_Brown/sarah047.cha, line 143 · Sarah 3;02
  4. you don't want to look at me # huh ? GLO · eng_USA_Brown/sarah047.cha, line 233 · Sarah 3;02
  5. you don't want to look at me ? GLO · eng_USA_Brown/sarah047.cha, line 235 · Sarah 3;02
  6. +" you gi(ve) me a hug . GLO · eng_USA_Brown/sarah047.cha, line 449 · Sarah 3;02
  7. c(o)me (h)ere . MOT · eng_USA_Brown/sarah047.cha, line 663 · Sarah 3;02
  8. give me the problems # huh ? GLO · eng_USA_Brown/sarah047.cha, line 702 · Sarah 3;02
  9. c(o)me (h)ere . MOT · eng_USA_Brown/sarah047.cha, line 806 · Sarah 3;02
  10. tell me what do I have here ? GLO · eng_USA_Brown/sarah047.cha, line 915 · Sarah 3;02
  11. let me go see who this is . MOT · eng_USA_Brown/sarah047.cha, line 917 · Sarah 3;02
  12. let me see . MOT · eng_USA_Brown/sarah047.cha, line 1094 · Sarah 3;02
  1. eng_USA_Brown/sarah047.cha, line 84 · Sarah, 3;2.02
    GLOwho ?
    CHIxxx .
    GLO*GLO: you think you're kiddin(g) me .
    CHIwww .
    GLOdo you want him to talk to you ?
  2. eng_USA_Brown/sarah047.cha, line 99 · Sarah, 3;2.02
    GLOdo you want Bam_Bam to talk to you ?
    CHIum # yes .
    GLO*GLO: you want to give it to me # and I'll make him talk to you .
    GLOok ?
    CHIhey # I go ge(t) two pencils .
  3. eng_USA_Brown/sarah047.cha, line 143 · Sarah, 3;2.02
    GLOwhere did you go yesterday ?
    CHIparty .
    GLO*GLO: o:h # tell me about it .
    GLOwho was there ?
    CHIuh # you .
  4. eng_USA_Brown/sarah047.cha, line 233 · Sarah, 3;2.02
    MOToh # she said elephants and cows down the beach .
    CHItu(r)n you(r) head around .
    GLO*GLO: you don't want to look at me # huh ?
    GLOyou don't want to look at me ?
    GLOoh that's better .
  5. eng_USA_Brown/sarah047.cha, line 235 · Sarah, 3;2.02
    CHItu(r)n you(r) head around .
    GLOyou don't want to look at me # huh ?
    GLO*GLO: you don't want to look at me ?
    GLOoh that's better .
    GLOI like to look at you .
  6. eng_USA_Brown/sarah047.cha, line 449 · Sarah, 3;2.02
    GLO+" I like you .
    CHI<he yyy like> [?] .
    GLO*GLO: +" you gi(ve) me a hug .
    GLO+" oh yes I'll give you a hug .
    GLO+" there .
  7. eng_USA_Brown/sarah047.cha, line 663 · Sarah, 3;2.02
    CHIow # he # bite me again .
    CHIuh you did it .
    MOT*MOT: c(o)me (h)ere .
    MOTyou're losin(g) your pants .
    CHIheh .
  8. eng_USA_Brown/sarah047.cha, line 702 · Sarah, 3;2.02
    GLOok .
    CHIwait a minute .
    GLO*GLO: give me the problems # huh ?
    GLOone # one finger there .
    GLOand move your thumb over here like in a glove .
  9. eng_USA_Brown/sarah047.cha, line 806 · Sarah, 3;2.02
    MOTblow your nose .
    MOTwill ya .
    MOT*MOT: c(o)me (h)ere .
    MOTI don't know # hopperoo ?
    MOTis it a hopperoo ?
  10. eng_USA_Brown/sarah047.cha, line 915 · Sarah, 3;2.02
    GLOxxx .
    CHIseven eight nine ten # four five six seven eight nine ten # ten . [+ bch]
    GLO*GLO: tell me what do I have here ?
    MOTlet me go see who this is .
    GLOcount them and see how many knives .
  11. eng_USA_Brown/sarah047.cha, line 917 · Sarah, 3;2.02
    CHIseven eight nine ten # four five six seven eight nine ten # ten . [+ bch]
    GLOtell me what do I have here ?
    MOT*MOT: let me go see who this is .
    GLOcount them and see how many knives .
    CHIthree four +... [+ bch]
  12. eng_USA_Brown/sarah047.cha, line 1094 · Sarah, 3;2.02
    GLOisn't that dangerous # Sarah # that nail sticking out there .
    MOTyeah # <I don't> [//] she doesn't take him out .
    MOT*MOT: let me see .
    CHI0 .
    MOTya got all kinds of band aids on him <an(d)> [/] and +...

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_Brown7.87
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah047.chaSarah 3;2.021,52412127.87

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. me12 · 100.0%