PHPCLANCHILDES with regular expressions

8 matches in 8 utterances

5.31 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (438 utterances, 1,507 words searched).

  1. but who else ? MOT · eng_USA_Brown/sarah059.cha, line 48 · Sarah 3;04
  2. what else ? MOT · eng_USA_Brown/sarah059.cha, line 201 · Sarah 3;04
  3. nothin(g) else ? MOT · eng_USA_Brown/sarah059.cha, line 216 · Sarah 3;04
  4. let's see what else will Santa_Claus bring you ? MOT · eng_USA_Brown/sarah059.cha, line 323 · Sarah 3;04
  5. what else ? MOT · eng_USA_Brown/sarah059.cha, line 371 · Sarah 3;04
  6. now let's see what else . MOT · eng_USA_Brown/sarah059.cha, line 388 · Sarah 3;04
  7. what else ? KEN · eng_USA_Brown/sarah059.cha, line 543 · Sarah 3;04
  8. what else ? KEN · eng_USA_Brown/sarah059.cha, line 547 · Sarah 3;04
  1. CHIyyy .
    MOTI know you were at the party .
    MOT*MOT: but who else ?
    MOTSant(a) +...
    CHISanta_Claus .
  2. MOTyou can't find it .
    MOTshe's in the room .
    MOT*MOT: what else ?
    CHIum .
    CHIyyy .
  3. CHIyeah .
    MOToh # that's good .
    MOT*MOT: nothin(g) else ?
    CHIhuh ?
    MOTya don't want any other toys .
  4. CHII think so .
    MOTyeah # you think so .
    MOT*MOT: let's see what else will Santa_Claus bring you ?
    MOToh # what about Baby_Bright ?
    MOTyou like Baby_Bright .
  5. MOTthere she goes .
    MOTnow let's see .
    MOT*MOT: what else ?
    MOThow about a black board ?
    CHIuh ?
  6. CHIhey .
    MOTa black board .
    MOT*MOT: now let's see what else .
    MOTmmhm # cards ?
    CHIyeah # ca(r)ds .
  7. KENwhat's Chantilly going to get for Christmas ?
    CHIa bo:ne .
    KEN*KEN: what else ?
    CHIhuh ?
    KENwhat else ?
  8. KENwhat else ?
    CHIhuh ?
    KEN*KEN: what else ?
    KENbesides a bone ?
    CHItwo bone .

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_Brown5.31
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah059.chaSarah 3;4.261,507885.31

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. else8 · 100.0%