PHPCLANCHILDES with regular expressions

14 matches in 13 utterances

9.35 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (378 utterances, 1,497 words searched).

  1. <who made> [/] who made those ? FAT · eng_USA_Brown/sarah029.cha, line 110 · Sarah 2;09
  2. <who made> [/] who made those ? FAT · eng_USA_Brown/sarah029.cha, line 110 · Sarah 2;09
  3. who's sitting in the other room ? FAT · eng_USA_Brown/sarah029.cha, line 245 · Sarah 2;09
  4. who's that in there ? FAT · eng_USA_Brown/sarah029.cha, line 247 · Sarah 2;09
  5. who brought you these ? FAT · eng_USA_Brown/sarah029.cha, line 301 · Sarah 2;09
  6. no # who brought them ? FAT · eng_USA_Brown/sarah029.cha, line 305 · Sarah 2;09
  7. who gave you those ? FAT · eng_USA_Brown/sarah029.cha, line 307 · Sarah 2;09
  8. who takes you out for a walk ? FAT · eng_USA_Brown/sarah029.cha, line 376 · Sarah 2;09
  9. who took you for a walk yesterday ? MOT · eng_USA_Brown/sarah029.cha, line 388 · Sarah 2;09
  10. who got spanked ? FAT · eng_USA_Brown/sarah029.cha, line 496 · Sarah 2;09
  11. and do you know who uses these ? FAT · eng_USA_Brown/sarah029.cha, line 737 · Sarah 2;09
  12. who ? FAT · eng_USA_Brown/sarah029.cha, line 741 · Sarah 2;09
  13. who's Beaver ? FAT · eng_USA_Brown/sarah029.cha, line 994 · Sarah 2;09
  14. who should pick it up ? FAT · eng_USA_Brown/sarah029.cha, line 1220 · Sarah 2;09
  1. eng_USA_Brown/sarah029.cha, line 110 · Sarah, 2;9.14
    FATwhat do we call them ?
    FATa popsicle ?
    FAT*FAT: <who made> [/] who made those ?
    CHIMummy !
    CHIcold .
  2. eng_USA_Brown/sarah029.cha, line 245 · Sarah, 2;9.14
    CHIorange [?] !
    MOT<what kind> [<] orange # yeah .
    FAT*FAT: who's sitting in the other room ?
    FATwho's that in there ?
    MOThuh # what's his name ?
  3. eng_USA_Brown/sarah029.cha, line 247 · Sarah, 2;9.14
    MOT<what kind> [<] orange # yeah .
    FATwho's sitting in the other room ?
    FAT*FAT: who's that in there ?
    MOThuh # what's his name ?
    CHIyyy .
  4. eng_USA_Brown/sarah029.cha, line 301 · Sarah, 2;9.14
    FATwell # can't you let me use it ?
    CHI0 .
    FAT*FAT: who brought you these ?
    CHIshovel .
    FATno # who brought them ?
  5. eng_USA_Brown/sarah029.cha, line 305 · Sarah, 2;9.14
    FATwho brought you these ?
    CHIshovel .
    FAT*FAT: no # who brought them ?
    FATwho gave you those ?
    FATNana .
  6. eng_USA_Brown/sarah029.cha, line 307 · Sarah, 2;9.14
    CHIshovel .
    FATno # who brought them ?
    FAT*FAT: who gave you those ?
    FATNana .
    FATlast night .
  7. eng_USA_Brown/sarah029.cha, line 376 · Sarah, 2;9.14
    FATare your teeth cold ?
    CHI0 .
    FAT*FAT: who takes you out for a walk ?
    CHIU(ncle)z_Tommy .
    FATTommy !
  8. eng_USA_Brown/sarah029.cha, line 388 · Sarah, 2;9.14
    MOTUncle_Tommy .
    FAToh # Uncle_Tommy takes you out for a walk # huh .
    MOT*MOT: who took you for a walk yesterday ?
    CHIUnc(le)z_Tommy .
    MOTno # Tommy didn't take you for a walk .
  9. eng_USA_Brown/sarah029.cha, line 496 · Sarah, 2;9.14
    CHIuhuh .
    FATyou'd rather play in the dirt .
    FAT*FAT: who got spanked ?
    CHIDaddy .
    FAToh # you didn't spank me !
  10. eng_USA_Brown/sarah029.cha, line 737 · Sarah, 2;9.14
    FATa hoe .
    CHIa hoe .
    FAT*FAT: and do you know who uses these ?
    CHI0 .
    FATwho ?
  11. eng_USA_Brown/sarah029.cha, line 741 · Sarah, 2;9.14
    FATand do you know who uses these ?
    CHI0 .
    FAT*FAT: who ?
    CHIme .
    FATand # yeah # you can use them .
  12. eng_USA_Brown/sarah029.cha, line 994 · Sarah, 2;9.14
    FAThey !
    FATdid [/] did Beaver scratch you ?
    FAT*FAT: who's Beaver ?
    FATAuntie Marion's dog .
    FATright ?
  13. eng_USA_Brown/sarah029.cha, line 1220 · Sarah, 2;9.14
    FATshould be picked up # huh ?
    CHIum .
    FAT*FAT: who should pick it up ?
    CHIme .
    FATdid you dirty it ?

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_Brown9.35
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah029.chaSarah 2;9.141,49713149.35

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. who14 · 100.0%