PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

4.23 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (359 utterances, 1,181 words searched).

  1. where's my baby brother ? FAT · eng_USA_Brown/sarah083.cha, line 217 · Sarah 3;10
  2. I'm the baby brother . FAT · eng_USA_Brown/sarah083.cha, line 219 · Sarah 3;10
  3. <I am the> [//] # <I'm> [/] # I'm a baby brother . FAT · eng_USA_Brown/sarah083.cha, line 223 · Sarah 3;10
  4. <I'm> [/] # I'm Uncle George's baby brother . FAT · eng_USA_Brown/sarah083.cha, line 227 · Sarah 3;10
  5. (a)n(d) Uncle Kenny's baby brother . FAT · eng_USA_Brown/sarah083.cha, line 229 · Sarah 3;10
  1. eng_USA_Brown/sarah083.cha, line 217 · Sarah, 3;10.30
    FATbecause the lights on .
    CHI<where's ya> [/] where's ya baby brother ?
    FAT*FAT: where's my baby brother ?
    FATI'm the baby brother .
    CHIwhy not ?
  2. eng_USA_Brown/sarah083.cha, line 219 · Sarah, 3;10.30
    CHI<where's ya> [/] where's ya baby brother ?
    FATwhere's my baby brother ?
    FAT*FAT: I'm the baby brother .
    CHIwhy not ?
    FAT<I am the> [//] # <I'm> [/] # I'm a baby brother .
  3. eng_USA_Brown/sarah083.cha, line 223 · Sarah, 3;10.30
    FATI'm the baby brother .
    CHIwhy not ?
    FAT*FAT: <I am the> [//] # <I'm> [/] # I'm a baby brother .
    CHIno you're not .
    FAT<I'm> [/] # I'm Uncle George's baby brother .
  4. eng_USA_Brown/sarah083.cha, line 227 · Sarah, 3;10.30
    FAT<I am the> [//] # <I'm> [/] # I'm a baby brother .
    CHIno you're not .
    FAT*FAT: <I'm> [/] # I'm Uncle George's baby brother .
    FAT(a)n(d) Uncle Kenny's baby brother .
    FATis Uncle George older than I am .
  5. eng_USA_Brown/sarah083.cha, line 229 · Sarah, 3;10.30
    CHIno you're not .
    FAT<I'm> [/] # I'm Uncle George's baby brother .
    FAT*FAT: (a)n(d) Uncle Kenny's baby brother .
    FATis Uncle George older than I am .
    CHI0 .

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_Brown4.23
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah083.chaSarah 3;10.301,181554.23

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. brother5 · 100.0%