PHPCLANCHILDES with regular expressions

13 matches in 13 utterances

13.50 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (261 utterances, 963 words searched).

  1. what were you doing over (a)t Nana's last night ? MOT · eng_USA_Brown/sarah013.cha, line 34 · Sarah 2;05
  2. were you a little devil ? MOT · eng_USA_Brown/sarah013.cha, line 39 · Sarah 2;05
  3. he's reading a story # yeah . MOT · eng_USA_Brown/sarah013.cha, line 292 · Sarah 2;05
  4. peek [<] peek a min(ute) . MOT · eng_USA_Brown/sarah013.cha, line 513 · Sarah 2;05
  5. that's a pillow . MOT · eng_USA_Brown/sarah013.cha, line 600 · Sarah 2;05
  6. that's a bank with no money . MOT · eng_USA_Brown/sarah013.cha, line 621 · Sarah 2;05
  7. are you a good girl ? MOT · eng_USA_Brown/sarah013.cha, line 697 · Sarah 2;05
  8. she has ribbon (a)round her neck # yeah . MOT · eng_USA_Brown/sarah013.cha, line 803 · Sarah 2;05
  9. your baby's got a pretty face # huh ? MOT · eng_USA_Brown/sarah013.cha, line 919 · Sarah 2;05
  10. you got a pocketbook ? MOT · eng_USA_Brown/sarah013.cha, line 1108 · Sarah 2;05
  11. we'll have to put a new string on it # huh . MOT · eng_USA_Brown/sarah013.cha, line 1212 · Sarah 2;05
  12. it's a teddy+bear . COU · eng_USA_Brown/sarah013.cha, line 1271 · Sarah 2;05
  13. yeah # and that's a doggie . COU · eng_USA_Brown/sarah013.cha, line 1275 · Sarah 2;05
  1. eng_USA_Brown/sarah013.cha, line 34 · Sarah, 2;5.15
    MOTthat's not nice .
    MOTyou like potato+chips ?
    MOT*MOT: what were you doing over (a)t Nana's last night ?
    CHIuh .
    MOTwere you a little devil ?
  2. eng_USA_Brown/sarah013.cha, line 39 · Sarah, 2;5.15
    MOTwhat were you doing over (a)t Nana's last night ?
    CHIuh .
    MOT*MOT: were you a little devil ?
    CHIuhuh .
    MOThuh ?
  3. eng_USA_Brown/sarah013.cha, line 292 · Sarah, 2;5.15
    MOTbaby # yeah .
    CHIread story .
    MOT*MOT: he's reading a story # yeah .
    MOT<do you know what> [//] see the little halos .
    MOT<that's> [//] they're supposed to be angels .
  4. eng_USA_Brown/sarah013.cha, line 513 · Sarah, 2;5.15
    CHIknock a door .
    CHIpeek [>] peek in .
    MOT*MOT: peek [<] peek a min(ute) .
    MOTpeek in .
    MOTlift up the latch .
  5. eng_USA_Brown/sarah013.cha, line 600 · Sarah, 2;5.15
    CHImore pillow .
    CHIyyy .
    MOT*MOT: that's a pillow .
    CHIpillow ?
    CHIxxx ?
  6. eng_USA_Brown/sarah013.cha, line 621 · Sarah, 2;5.15
    MOTnothing in there ?
    CHIyyy .
    MOT*MOT: that's a bank with no money .
    CHIxxx put mo(ne)y .
    CHImo(ne)y .
  7. eng_USA_Brown/sarah013.cha, line 697 · Sarah, 2;5.15
    MOTyeah .
    CHIxxx .
    MOT*MOT: are you a good girl ?
    CHII good girl .
    MOTleave your nose alone .
  8. eng_USA_Brown/sarah013.cha, line 803 · Sarah, 2;5.15
    CHIsee do(ll)y .
    CHIxxx ri(bbo)n xxx neck .
    MOT*MOT: she has ribbon (a)round her neck # yeah .
    CHIxxx .
    MOTshe won't choke .
  9. eng_USA_Brown/sarah013.cha, line 919 · Sarah, 2;5.15
    CHImy xxx face .
    CHIxxx face .
    MOT*MOT: your baby's got a pretty face # huh ?
    CHIxxx (lip)stick .
    MOTlipstick ?
  10. eng_USA_Brown/sarah013.cha, line 1108 · Sarah, 2;5.15
    MOThmm ?
    CHIhere pocketbook .
    MOT*MOT: you got a pocketbook ?
    CHIhere pocketbook .
    CHIxxx ?
  11. eng_USA_Brown/sarah013.cha, line 1212 · Sarah, 2;5.15
    CHIpoodle .
    CHIpoodle .
    MOT*MOT: we'll have to put a new string on it # huh .
    CHIwhere .
    MOTright there .
  12. eng_USA_Brown/sarah013.cha, line 1271 · Sarah, 2;5.15
    CHIxxx .
    CHIyyy .
    COU*COU: it's a teddy+bear .
    CHIte(dd)y+bear ?
    COUyeah # and that's a doggie .
  13. eng_USA_Brown/sarah013.cha, line 1275 · Sarah, 2;5.15
    COUit's a teddy+bear .
    CHIte(dd)y+bear ?
    COU*COU: yeah # and that's a doggie .
    CHIdoggie .
    COU(do)ggie .

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_Brown13.50
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah013.chaSarah 2;5.15963131313.50

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. a13 · 100.0%