PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

5.60 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (310 utterances, 1,250 words searched).

  1. is that cold ? MOT · eng_USA_Brown/sarah050.cha, line 419 · Sarah 3;02
  2. how cold ? MOT · eng_USA_Brown/sarah050.cha, line 421 · Sarah 3;02
  3. no # I want you to tell me how cold it is . KEN · eng_USA_Brown/sarah050.cha, line 426 · Sarah 3;02
  4. very cold ? KEN · eng_USA_Brown/sarah050.cha, line 429 · Sarah 3;02
  5. +" I'm cold . KEN · eng_USA_Brown/sarah050.cha, line 1275 · Sarah 3;02
  6. +" Sarah I'm cold . KEN · eng_USA_Brown/sarah050.cha, line 1277 · Sarah 3;02
  7. did you know that Millisandy was yelling about the cold . MOT · eng_USA_Brown/sarah050.cha, line 1321 · Sarah 3;02
  1. MOTyeah I know it .
    MOTI can see it .
    MOT*MOT: is that cold ?
    MOThow cold ?
    CHIfee(l) it .
  2. MOTI can see it .
    MOTis that cold ?
    MOT*MOT: how cold ?
    CHIfee(l) it .
    KENno # I want you to tell me how cold it is .
  3. MOThow cold ?
    CHIfee(l) it .
    KEN*KEN: no # I want you to tell me how cold it is .
    KENvery cold ?
    CHI0 .
  4. CHIfee(l) it .
    KENno # I want you to tell me how cold it is .
    KEN*KEN: very cold ?
    CHI0 .
    KENlike snow ?
  5. MOTyeah .
    KENoh # Millisandy says # +"/.
    KEN*KEN: +" I'm cold .
    KEN+" Sarah I'm cold .
    CHII cover you up .
  6. KENoh # Millisandy says # +"/.
    KEN+" I'm cold .
    KEN*KEN: +" Sarah I'm cold .
    CHII cover you up .
    CHIxxx .
  7. CHIyyy # oh # blockins@b .
    CHIwe cover you up .
    MOT*MOT: did you know that Millisandy was yelling about the cold .
    CHIwhoop # hee(hee) # wait a minute .
    CHIthere [/] # there .

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_Brown5.60
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah050.chaSarah 3;2.231,250775.60

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. cold7 · 100.0%