PHPCLANCHILDES with regular expressions

15 matches in 15 utterances

11.72 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (394 utterances, 1,280 words searched).

  1. that's a pretty poodle # yeah . MOT · eng_USA_Brown/sarah010.cha, line 208 · Sarah 2;04
  2. that's Poor_Pony . FAT · eng_USA_Brown/sarah010.cha, line 357 · Sarah 2;04
  3. that's your mike ? FAT · eng_USA_Brown/sarah010.cha, line 399 · Sarah 2;04
  4. that's a girl ? FAT · eng_USA_Brown/sarah010.cha, line 436 · Sarah 2;04
  5. that's a girl ? FAT · eng_USA_Brown/sarah010.cha, line 440 · Sarah 2;04
  6. that's a man . FAT · eng_USA_Brown/sarah010.cha, line 448 · Sarah 2;04
  7. that's a rabbit . FAT · eng_USA_Brown/sarah010.cha, line 482 · Sarah 2;04
  8. that's a house . FAT · eng_USA_Brown/sarah010.cha, line 569 · Sarah 2;04
  9. that's an owl . FAT · eng_USA_Brown/sarah010.cha, line 609 · Sarah 2;04
  10. that's a good doggie . FAT · eng_USA_Brown/sarah010.cha, line 1050 · Sarah 2;04
  11. that's not Bozo . FAT · eng_USA_Brown/sarah010.cha, line 1177 · Sarah 2;04
  12. that's a man in the train . FAT · eng_USA_Brown/sarah010.cha, line 1183 · Sarah 2;04
  13. that's my mike . FAT · eng_USA_Brown/sarah010.cha, line 1492 · Sarah 2;04
  14. that's a big # big ribbon . GLO · eng_USA_Brown/sarah010.cha, line 1738 · Sarah 2;04
  15. that's what you want is peanut butter . MOT · eng_USA_Brown/sarah010.cha, line 1862 · Sarah 2;04
  1. eng_USA_Brown/sarah010.cha, line 208 · Sarah, 2;4.19
    CHIp(rett)y ?
    CHIp(rett)y xxx poo(dle) .
    MOT*MOT: that's a pretty poodle # yeah .
    FATtalk to me on the phone .
    MOTcall Daddy up on the telephone .
  2. eng_USA_Brown/sarah010.cha, line 357 · Sarah, 2;4.19
    FATwhat's his name ?
    CHIPoor_Pony .
    FAT*FAT: that's Poor_Pony .
    FATwhat's this horsie's name ?
    CHInice horsie .
  3. eng_USA_Brown/sarah010.cha, line 399 · Sarah, 2;4.19
    CHImy mike .
    MOTyour mike # yeah .
    FAT*FAT: that's your mike ?
    FATdo you talk into that mike ?
    CHIyou mike .
  4. eng_USA_Brown/sarah010.cha, line 436 · Sarah, 2;4.19
    FATSleepin(g)z_Beauty ?
    CHIyyy Beau(t)y .
    FAT*FAT: that's a girl ?
    CHIgirl .
    FATthat's a girl ?
  5. eng_USA_Brown/sarah010.cha, line 440 · Sarah, 2;4.19
    FATthat's a girl ?
    CHIgirl .
    FAT*FAT: that's a girl ?
    CHIgirl .
    FATwhat's that ?
  6. eng_USA_Brown/sarah010.cha, line 448 · Sarah, 2;4.19
    FATwhat's that ?
    CHIman .
    FAT*FAT: that's a man .
    FATwhat's that up there ?
    CHIbird .
  7. eng_USA_Brown/sarah010.cha, line 482 · Sarah, 2;4.19
    FATthat down there ?
    CHIa yyy .
    FAT*FAT: that's a rabbit .
    CHIyyy .
    CHIxxx .
  8. eng_USA_Brown/sarah010.cha, line 569 · Sarah, 2;4.19
    CHIyyy .
    CHIyyy .
    FAT*FAT: that's a house .
    CHIhouse .
    FAThouse .
  9. eng_USA_Brown/sarah010.cha, line 609 · Sarah, 2;4.19
    CHIyyy .
    CHIyyy .
    FAT*FAT: that's an owl .
    CHIowl .
    CHIyyy .
  10. eng_USA_Brown/sarah010.cha, line 1050 · Sarah, 2;4.19
    FATyeah # little tail .
    CHImy doggie .
    FAT*FAT: that's a good doggie .
    CHIxxx .
    FAThave you any kittys ?
  11. eng_USA_Brown/sarah010.cha, line 1177 · Sarah, 2;4.19
    FATwho's that ?
    CHIpicture Bobo .
    FAT*FAT: that's not Bozo .
    CHIyyy .
    FATthat's a man in the train .
  12. eng_USA_Brown/sarah010.cha, line 1183 · Sarah, 2;4.19
    FATthat's not Bozo .
    CHIyyy .
    FAT*FAT: that's a man in the train .
    CHIman train ?
    FAThe makes the train go .
  13. eng_USA_Brown/sarah010.cha, line 1492 · Sarah, 2;4.19
    CHIxxx .
    FATxxx .
    FAT*FAT: that's my mike .
    FATyou've got your mike .
    CHIxxx .
  14. eng_USA_Brown/sarah010.cha, line 1738 · Sarah, 2;4.19
    MOTlook at this big ribbon you have .
    GLOhere .
    GLO*GLO: that's a big # big ribbon .
    MOTyou got a nice ribbon .
    CHIxxx me [/] me .
  15. eng_USA_Brown/sarah010.cha, line 1862 · Sarah, 2;4.19
    MOTxxx out in the kitchen .
    MOTwant peanut butter ?
    MOT*MOT: that's what you want is peanut butter .
    MOTand bread ?
    CHIxxx yyy me .

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_Brown11.72
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah010.chaSarah 2;4.191,280151511.72

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. that's15 · 100.0%