PHPCLANCHILDES with regular expressions

14 matches in 14 utterances

13.74 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (302 utterances, 1,019 words searched).

  1. what's the name of that song ? MOT · eng_USA_Brown/sarah042.cha, line 114 · Sarah 3;00
  2. what's the baby's name ? FAT · eng_USA_Brown/sarah042.cha, line 213 · Sarah 3;00
  3. what's her name ? MOT · eng_USA_Brown/sarah042.cha, line 279 · Sarah 3;00
  4. what's your name ? MOT · eng_USA_Brown/sarah042.cha, line 285 · Sarah 3;00
  5. and what's your Mommy's name ? FAT · eng_USA_Brown/sarah042.cha, line 321 · Sarah 3;00
  6. what's Daddy's name ? MOT · eng_USA_Brown/sarah042.cha, line 326 · Sarah 3;00
  7. what's his name ? FAT · eng_USA_Brown/sarah042.cha, line 528 · Sarah 3;00
  8. here # there's your name . MOT · eng_USA_Brown/sarah042.cha, line 630 · Sarah 3;00
  9. make your name . MOT · eng_USA_Brown/sarah042.cha, line 645 · Sarah 3;00
  10. what's his name ? MOT · eng_USA_Brown/sarah042.cha, line 836 · Sarah 3;00
  11. what's that reindeer's name ? FAT · eng_USA_Brown/sarah042.cha, line 840 · Sarah 3;00
  12. what's that reindeer's name ? FAT · eng_USA_Brown/sarah042.cha, line 854 · Sarah 3;00
  13. what's that man's name ? FAT · eng_USA_Brown/sarah042.cha, line 896 · Sarah 3;00
  14. what's that fellow's name # right there ? FAT · eng_USA_Brown/sarah042.cha, line 900 · Sarah 3;00
  1. eng_USA_Brown/sarah042.cha, line 114 · Sarah, 3;0.27
    CHIhush # now don't you cry .
    MOTpretty good .
    MOT*MOT: what's the name of that song ?
    FATtoura@b loura@b loura@b .
    MOTtoura@b # loura@b # loura@b ?
  2. eng_USA_Brown/sarah042.cha, line 213 · Sarah, 3;0.27
    CHIhello Nana .
    CHINana xxx .
    FAT*FAT: what's the baby's name ?
    CHIum # Jane .
    FATJane ?
  3. eng_USA_Brown/sarah042.cha, line 279 · Sarah, 3;0.27
    CHIlook it # Mommy .
    MOTyeah # you're a smart girl # uhhuh .
    MOT*MOT: what's her name ?
    CHIJane .
    MOTJane ?
  4. eng_USA_Brown/sarah042.cha, line 285 · Sarah, 3;0.27
    CHIJane .
    MOTJane ?
    MOT*MOT: what's your name ?
    CHII'm Sarah .
    MOTSarah what ?
  5. eng_USA_Brown/sarah042.cha, line 321 · Sarah, 3;0.27
    CHICambridge .
    CHII live down here .
    FAT*FAT: and what's your Mommy's name ?
    CHICarol .
    MOTwhat's Daddy's name ?
  6. eng_USA_Brown/sarah042.cha, line 326 · Sarah, 3;0.27
    FATand what's your Mommy's name ?
    CHICarol .
    MOT*MOT: what's Daddy's name ?
    CHIDonny .
    MOTDonny ?
  7. eng_USA_Brown/sarah042.cha, line 528 · Sarah, 3;0.27
    CHIin the mouth .
    CHIhold my baby .
    FAT*FAT: what's his name ?
    CHIa monkey .
    FATmonkey .
  8. eng_USA_Brown/sarah042.cha, line 630 · Sarah, 3;0.27
    CHIMommy # you make a s@l .
    MOTmake a s@l ?
    MOT*MOT: here # there's your name .
    CHII write o(ver) here .
    MOTwhat ?
  9. eng_USA_Brown/sarah042.cha, line 645 · Sarah, 3;0.27
    MOTc(o)me on .
    MOTsit up here .
    MOT*MOT: make your name .
    MOTlook # see .
    MOTs@l a@l r@l a@l h@l . [+ bch]
  10. eng_USA_Brown/sarah042.cha, line 836 · Sarah, 3;0.27
    FATthat's Gene Autrey .
    CHIyeah .
    MOT*MOT: what's his name ?
    CHIGene Autrey .
    FATwhat's that reindeer's name ?
  11. eng_USA_Brown/sarah042.cha, line 840 · Sarah, 3;0.27
    MOTwhat's his name ?
    CHIGene Autrey .
    FAT*FAT: what's that reindeer's name ?
    CHIuh Donna [= Donder] .
    FATno # that's Rudolph .
  12. eng_USA_Brown/sarah042.cha, line 854 · Sarah, 3;0.27
    CHIreindeer .
    FATmmhm .
    FAT*FAT: what's that reindeer's name ?
    CHIum # Donna .
    FATVixen .
  13. eng_USA_Brown/sarah042.cha, line 896 · Sarah, 3;0.27
    CHI(a)n(d) Donna .
    FATyeah .
    FAT*FAT: what's that man's name ?
    CHIhuh ?
    FATwhat's that fellow's name # right there ?
  14. eng_USA_Brown/sarah042.cha, line 900 · Sarah, 3;0.27
    FATwhat's that man's name ?
    CHIhuh ?
    FAT*FAT: what's that fellow's name # right there ?
    CHIum # Santa_Claus .
    MOTwhat's Santa_Claus gonna bring you ?

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_Brown13.74
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah042.chaSarah 3;0.271,019141413.74

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. name14 · 100.0%