PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

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

  1. besides a bone ? KEN · eng_USA_Brown/sarah059.cha, line 549 · Sarah 3;04
  2. let's buy Inky a bone ? MOT · eng_USA_Brown/sarah059.cha, line 626 · Sarah 3;04
  3. Inky can't have a bone . MOT · eng_USA_Brown/sarah059.cha, line 628 · Sarah 3;04
  4. yeah # you can buy Tramp a bone . MOT · eng_USA_Brown/sarah059.cha, line 667 · Sarah 3;04
  5. Daddy will get a bone . MOT · eng_USA_Brown/sarah059.cha, line 754 · Sarah 3;04
  1. CHIhuh ?
    KENwhat else ?
    KEN*KEN: besides a bone ?
    CHItwo bone .
    MOTtwo bones .
  2. KENInky ?
    CHIlet's buy Inky a bone .
    MOT*MOT: let's buy Inky a bone ?
    MOTInky can't have a bone .
    CHIwhy ?
  3. CHIlet's buy Inky a bone .
    MOTlet's buy Inky a bone ?
    MOT*MOT: Inky can't have a bone .
    CHIwhy ?
    MOThe has no teeth .
  4. MOTTramp ?
    CHIyeah .
    MOT*MOT: yeah # you can buy Tramp a bone .
    MOTwho's Tramp .
    CHIhere .
  5. MOTwell # not today .
    CHIwhy ?
    MOT*MOT: Daddy will get a bone .
    CHIFather's turned xxx .
    MOTwonder who this is .

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_Brown3.32
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah059.chaSarah 3;4.261,507553.32

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. bone5 · 100.0%