PHPCLANCHILDES with regular expressions

12 matches in 12 utterances

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

  1. oh # here we are . MOT · eng_USA_Brown/sarah053.cha, line 293 · Sarah 3;03
  2. what color are they ? MOT · eng_USA_Brown/sarah053.cha, line 331 · Sarah 3;03
  3. what are they ? MOT · eng_USA_Brown/sarah053.cha, line 375 · Sarah 3;03
  4. trains are for little boys . MOT · eng_USA_Brown/sarah053.cha, line 1075 · Sarah 3;03
  5. Sarah those are trains . MOT · eng_USA_Brown/sarah053.cha, line 1142 · Sarah 3;03
  6. those are for boys . MOT · eng_USA_Brown/sarah053.cha, line 1148 · Sarah 3;03
  7. are you a boy ? MOT · eng_USA_Brown/sarah053.cha, line 1150 · Sarah 3;03
  8. well what are ya play . MOT · eng_USA_Brown/sarah053.cha, line 1154 · Sarah 3;03
  9. I don't think there are any baby toys . MOT · eng_USA_Brown/sarah053.cha, line 1257 · Sarah 3;03
  10. yeah # those are for babies . KEN · eng_USA_Brown/sarah053.cha, line 1287 · Sarah 3;03
  11. those are real watches . MOT · eng_USA_Brown/sarah053.cha, line 1457 · Sarah 3;03
  12. oh yeah # those are for real little babies . MOT · eng_USA_Brown/sarah053.cha, line 1564 · Sarah 3;03
  1. eng_USA_Brown/sarah053.cha, line 293 · Sarah, 3;3.13
    MOTxxx we have the pictures in the parlor .
    CHIoh # ge(t) one o(f) dose .
    MOT*MOT: oh # here we are .
    MOTdish towels .
    CHIge(t) one o(f) those # Mommy .
  2. eng_USA_Brown/sarah053.cha, line 331 · Sarah, 3;3.13
    MOTcurtains # that's right .
    CHIcurtains [/] # curtains .
    MOT*MOT: what color are they ?
    CHIum .
    MOTwhat color's that ?
  3. eng_USA_Brown/sarah053.cha, line 375 · Sarah, 3;3.13
    CHIoh # I like those .
    CHIo:h .
    MOT*MOT: what are they ?
    CHIslippers .
    MOTslippers .
  4. eng_USA_Brown/sarah053.cha, line 1075 · Sarah, 3;3.13
    CHIyeah .
    MOTyou're not a little boy .
    MOT*MOT: trains are for little boys .
    CHIoh # I wan(t) dey .
    CHIoh # I want dat # Mommy .
  5. eng_USA_Brown/sarah053.cha, line 1142 · Sarah, 3;3.13
    MOTcow girl .
    CHIo:h # I want one o(f) dose # Mommy .
    MOT*MOT: Sarah those are trains .
    MOTyou're a goof .
    MOTgirls don't play with trains .
  6. eng_USA_Brown/sarah053.cha, line 1148 · Sarah, 3;3.13
    MOTyou're a goof .
    MOTgirls don't play with trains .
    MOT*MOT: those are for boys .
    MOTare you a boy ?
    CHIhunm .
  7. eng_USA_Brown/sarah053.cha, line 1150 · Sarah, 3;3.13
    MOTgirls don't play with trains .
    MOTthose are for boys .
    MOT*MOT: are you a boy ?
    CHIhunm .
    MOTwell what are ya play .
  8. eng_USA_Brown/sarah053.cha, line 1154 · Sarah, 3;3.13
    MOTare you a boy ?
    CHIhunm .
    MOT*MOT: well what are ya play .
    MOTwhat d(o) ya want trains for ?
    CHIoh # I [/] I # ha(ve) one o(f) dose .
  9. eng_USA_Brown/sarah053.cha, line 1257 · Sarah, 3;3.13
    MOTbaby toys ?
    CHIyep .
    MOT*MOT: I don't think there are any baby toys .
    CHIso .
    MOThere's baby clothes .
  10. eng_USA_Brown/sarah053.cha, line 1287 · Sarah, 3;3.13
    CHIoh # look at dose .
    CHIdose fo(r) babies .
    KEN*KEN: yeah # those are for babies .
    CHIwhe(r)e's (h)e put the toys in here ?
    KENoh # here's some toys .
  11. eng_USA_Brown/sarah053.cha, line 1457 · Sarah, 3;3.13
    CHIlook it (th)e toys over # here .
    MOTthose aren't toys .
    MOT*MOT: those are real watches .
    CHIthink some toys over he(r)e too .
    CHIhe(r)e's some toys .
  12. eng_USA_Brown/sarah053.cha, line 1564 · Sarah, 3;3.13
    MOTyup .
    CHI(a)n(d) do(s)e fo(r) babies ?
    MOT*MOT: oh yeah # those are for real little babies .
    CHIxxx .
    MOTit's open .

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_Brown9.88
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah053.chaSarah 3;3.131,21512129.88

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. are12 · 100.0%