PHPCLANCHILDES with regular expressions

8 matches in 7 utterances

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

  1. write your name . MOT · eng_USA_Brown/sarah007.cha, line 144 · Sarah 2;04
  2. <what's Santa> [//] what's the name of the dollie Santa_Claus is going to bring you for Christmas ? MOT · eng_USA_Brown/sarah007.cha, line 878 · Sarah 2;04
  3. what's the other dollie's name ? MOT · eng_USA_Brown/sarah007.cha, line 890 · Sarah 2;04
  4. and what's the other doll's name # Tick +... MOT · eng_USA_Brown/sarah007.cha, line 899 · Sarah 2;04
  5. what's doggie's name ? MOT · eng_USA_Brown/sarah007.cha, line 1178 · Sarah 2;04
  6. <what's the baby's name> [//] # is the baby's name Donna ? MOT · eng_USA_Brown/sarah007.cha, line 1302 · Sarah 2;04
  7. <what's the baby's name> [//] # is the baby's name Donna ? MOT · eng_USA_Brown/sarah007.cha, line 1302 · Sarah 2;04
  8. do you like the poodle # what's the poodle's name ? MOT · eng_USA_Brown/sarah007.cha, line 1387 · Sarah 2;04
  1. MOTBobo's all fixed .
    CHIyyy .
    MOT*MOT: write your name .
    MOTs@l a@l r@l a@l .
    CHIxxx .
  2. 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 ?
  3. CHIChatty_baby .
    MOTChatty_baby and what else ?
    MOT*MOT: what's the other dollie's name ?
    CHItwo doggie .
    MOTyeah .
  4. MOTyeah .
    CHIdollie .
    MOT*MOT: and what's the other doll's name # Tick +...
    CHIyyy .
    MOTyyy .
  5. CHIno .
    MOTno ?
    MOT*MOT: what's doggie's name ?
    CHIbow_wow@o .
    MOTbow_wow@o ?
  6. CHIxxx yyy .
    MOTthat's Donna !
    MOT*MOT: <what's the baby's name> [//] # is the baby's name Donna ?
    MOThmm ?
    CHIhair .
  7. 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 # +"/.

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_Brown5.38
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah007.chaSarah 2;4.101,487785.38

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. name8 · 100.0%