PHPCLANCHILDES with regular expressions

14 matches in 13 utterances

9.41 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (416 utterances, 1,487 words searched).

  1. what's that ? MOT · eng_USA_Brown/sarah007.cha, line 339 · Sarah 2;04
  2. what's that ? MOT · eng_USA_Brown/sarah007.cha, line 462 · Sarah 2;04
  3. what's that ? MOT · eng_USA_Brown/sarah007.cha, line 520 · Sarah 2;04
  4. what's that ? MOT · eng_USA_Brown/sarah007.cha, line 555 · Sarah 2;04
  5. what's that ? MOT · eng_USA_Brown/sarah007.cha, line 561 · Sarah 2;04
  6. see # what's that ? MOT · eng_USA_Brown/sarah007.cha, line 603 · Sarah 2;04
  7. <what's Santa> [//] what's the name of the dollie Santa_Claus is going to bri… MOT · eng_USA_Brown/sarah007.cha, line 878 · Sarah 2;04
  8. <what's Santa> [//] what's the name of the dollie Santa_Claus is going to bring you for Christma… MOT · eng_USA_Brown/sarah007.cha, line 878 · Sarah 2;04
  9. what's the other dollie's name ? MOT · eng_USA_Brown/sarah007.cha, line 890 · Sarah 2;04
  10. and what's the other doll's name # Tick +... MOT · eng_USA_Brown/sarah007.cha, line 899 · Sarah 2;04
  11. what's doggie's name ? MOT · eng_USA_Brown/sarah007.cha, line 1178 · Sarah 2;04
  12. <what's the baby's name> [//] # is the baby's name Donna ? MOT · eng_USA_Brown/sarah007.cha, line 1302 · Sarah 2;04
  13. do you like the poodle # what's the poodle's name ? MOT · eng_USA_Brown/sarah007.cha, line 1387 · Sarah 2;04
  14. what's Ann_Marie doing ? MOT · eng_USA_Brown/sarah007.cha, line 1665 · Sarah 2;04
  1. eng_USA_Brown/sarah007.cha, line 339 · Sarah, 2;4.10
    CHIxxx .
    CHIo:h !
    MOT*MOT: what's that ?
    CHIxxx in .
    MOThmm ?
  2. eng_USA_Brown/sarah007.cha, line 462 · Sarah, 2;4.10
    CHIking .
    CHIxxx .
    MOT*MOT: what's that ?
    CHIhorsie .
    MOTa horsie .
  3. eng_USA_Brown/sarah007.cha, line 520 · Sarah, 2;4.10
    MOTyeah .
    CHIyyy dere .
    MOT*MOT: what's that ?
    CHIbu(nn)y .
    MOTa what ?
  4. eng_USA_Brown/sarah007.cha, line 555 · Sarah, 2;4.10
    MOTthat's the tree .
    CHItree yyy dere .
    MOT*MOT: what's that ?
    CHIa bu(nn)y .
    MOTa bunny .
  5. eng_USA_Brown/sarah007.cha, line 561 · Sarah, 2;4.10
    CHIa bu(nn)y .
    MOTa bunny .
    MOT*MOT: what's that ?
    MOTdo you remember what that is ?
    CHIbig bird .
  6. eng_USA_Brown/sarah007.cha, line 603 · Sarah, 2;4.10
    CHI(a)no(ther) bird ?
    CHIyyy dere .
    MOT*MOT: see # what's that ?
    CHIbird .
    MOTa what ?
  7. eng_USA_Brown/sarah007.cha, line 878 · Sarah, 2;4.10
    MOTyeah # two doll # you got lots of dollies .
    CHIxxx .
    MOT*MOT: <what's Santa> [//] what's the name of the dollie Santa_Claus is going to bring you for Christmas ?
    CHIxxx .
    MOThuh ?
  8. eng_USA_Brown/sarah007.cha, line 890 · Sarah, 2;4.10
    CHIChatty_baby .
    MOTChatty_baby and what else ?
    MOT*MOT: what's the other dollie's name ?
    CHItwo doggie .
    MOTyeah .
  9. eng_USA_Brown/sarah007.cha, line 899 · Sarah, 2;4.10
    MOTyeah .
    CHIdollie .
    MOT*MOT: and what's the other doll's name # Tick +...
    CHIyyy .
    MOTyyy .
  10. eng_USA_Brown/sarah007.cha, line 1178 · Sarah, 2;4.10
    CHIno .
    MOTno ?
    MOT*MOT: what's doggie's name ?
    CHIbow_wow@o .
    MOTbow_wow@o ?
  11. eng_USA_Brown/sarah007.cha, line 1302 · Sarah, 2;4.10
    CHIxxx yyy .
    MOTthat's Donna !
    MOT*MOT: <what's the baby's name> [//] # is the baby's name Donna ?
    MOThmm ?
    CHIhair .
  12. eng_USA_Brown/sarah007.cha, line 1387 · Sarah, 2;4.10
    CHIyyy .
    MOTthat's the poodle .
    MOT*MOT: do you like the poodle # what's the poodle's name ?
    CHIbow_wow@o .
    MOTI know he says # +"/.
  13. eng_USA_Brown/sarah007.cha, line 1665 · Sarah, 2;4.10
    MOTdo you see Ann_Marie ?
    MOThmm ?
    MOT*MOT: what's Ann_Marie doing ?
    CHIxxx .
    MOThuh ?

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_Brown9.41
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah007.chaSarah 2;4.101,48713149.41

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. what's14 · 100.0%