PHPCLANCHILDES with regular expressions

11 matches in 11 utterances

9.05 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (327 utterances, 1,215 words searched).

  1. now what do we see here # hmm ? MOT · eng_USA_Brown/sarah053.cha, line 158 · Sarah 3;03
  2. yes # you do know . MOT · eng_USA_Brown/sarah053.cha, line 364 · Sarah 3;03
  3. what would ya do with it ? MOT · eng_USA_Brown/sarah053.cha, line 405 · Sarah 3;03
  4. what would you do with it if ya had it ? MOT · eng_USA_Brown/sarah053.cha, line 410 · Sarah 3;03
  5. what would you do ? MOT · eng_USA_Brown/sarah053.cha, line 413 · Sarah 3;03
  6. where do they go ? MOT · eng_USA_Brown/sarah053.cha, line 519 · Sarah 3;03
  7. you do ? MOT · eng_USA_Brown/sarah053.cha, line 683 · Sarah 3;03
  8. you do ? MOT · eng_USA_Brown/sarah053.cha, line 979 · Sarah 3;03
  9. you do ? MOT · eng_USA_Brown/sarah053.cha, line 1050 · Sarah 3;03
  10. which do you like best ? KEN · eng_USA_Brown/sarah053.cha, line 1280 · Sarah 3;03
  11. do ya remember ? MOT · eng_USA_Brown/sarah053.cha, line 1593 · Sarah 3;03
  1. eng_USA_Brown/sarah053.cha, line 158 · Sarah, 3;3.13
    MOTmixing bowls .
    CHIhah .
    MOT*MOT: now what do we see here # hmm ?
    CHII don't know .
    MOTthis is kind o(f) rough huh ?
  2. eng_USA_Brown/sarah053.cha, line 364 · Sarah, 3;3.13
    MOTyeah .
    CHII don't know .
    MOT*MOT: yes # you do know .
    CHIo:h # I like dose # Mommy .
    MOToh # aren't they beautiful .
  3. eng_USA_Brown/sarah053.cha, line 405 · Sarah, 3;3.13
    CHIo:h # ge(t) one o(f) dose .
    CHIge(t) one o(f) dose .
    MOT*MOT: what would ya do with it ?
    CHIuh .
    MOTwhat would you do with it if ya had it ?
  4. eng_USA_Brown/sarah053.cha, line 410 · Sarah, 3;3.13
    MOTwhat would ya do with it ?
    CHIuh .
    MOT*MOT: what would you do with it if ya had it ?
    MOTwhat would you do ?
    CHIput it right there .
  5. eng_USA_Brown/sarah053.cha, line 413 · Sarah, 3;3.13
    CHIuh .
    MOTwhat would you do with it if ya had it ?
    MOT*MOT: what would you do ?
    CHIput it right there .
    MOTput it down there ?
  6. eng_USA_Brown/sarah053.cha, line 519 · Sarah, 3;3.13
    CHIlook at dose chairs .
    MOTwhat kind of chair is that ?
    MOT*MOT: where do they go ?
    CHIright # here .
    MOToh # everythin(g) goes over in that corner today huh ?
  7. eng_USA_Brown/sarah053.cha, line 683 · Sarah, 3;3.13
    MOTsounds like a typical woman .
    CHIo:h # I ha(ve) one o(f) dose .
    MOT*MOT: you do ?
    CHImmhm .
    MOTa watch band ?
  8. eng_USA_Brown/sarah053.cha, line 979 · Sarah, 3;3.13
    MOTAuntie Dot'll s(h)oot you .
    MOTya want Auntie Dot to shoot you ?
    MOT*MOT: you do ?
    CHIlook it .
    CHII want dat .
  9. eng_USA_Brown/sarah053.cha, line 1050 · Sarah, 3;3.13
    MOTthat's for babies .
    CHIo:h # I want one o(f) dose .
    MOT*MOT: you do ?
    MOTwhat d(o) ya want one o(f) those for ?
    CHIoh # I want one o(f) dose .
  10. eng_USA_Brown/sarah053.cha, line 1280 · Sarah, 3;3.13
    KENyeah # he's cute isn't he ?
    CHIfive .
    KEN*KEN: which do you like best ?
    CHIoh # look at dose .
    CHIdose fo(r) babies .
  11. eng_USA_Brown/sarah053.cha, line 1593 · Sarah, 3;3.13
    MOTyou had one of these when you were a baby huh ?
    CHIyeah .
    MOT*MOT: do ya remember ?
    CHII'm not a li(tt)le baby now .
    MOTno .

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_Brown9.05
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah053.chaSarah 3;3.131,21511119.05

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. do11 · 100.0%