PHPCLANCHILDES with regular expressions

4 matches in 4 utterances

3.09 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (374 utterances, 1,296 words searched).

  1. there's four Beatles . FAT · eng_USA_Brown/sarah090.cha, line 617 · Sarah 4;01
  2. there's Paul # John # Ring(o) # and who else ? FAT · eng_USA_Brown/sarah090.cha, line 639 · Sarah 4;01
  3. there's no hair on my shirt . MOT · eng_USA_Brown/sarah090.cha, line 917 · Sarah 4;01
  4. # see there's a bumble+bee . FAT · eng_USA_Brown/sarah090.cha, line 1059 · Sarah 4;01
  1. eng_USA_Brown/sarah090.cha, line 617 · Sarah, 4;1.04
    FATwhat's the other fellow's name ?
    CHIum .
    FAT*FAT: there's four Beatles .
    CHIdo you know ?
    FATyeah I know .
  2. eng_USA_Brown/sarah090.cha, line 639 · Sarah, 4;1.04
    FAToh # wait a minute .
    FATlet's go the second one .
    FAT*FAT: there's Paul # John # Ring(o) # and who else ?
    FAToh +...
    MELoh # I can think of the other .
  3. eng_USA_Brown/sarah090.cha, line 917 · Sarah, 4;1.04
    CHIxxx under it ?
    MOTno .
    MOT*MOT: there's no hair on my shirt .
    CHIthere's some in your arms .
    CHI(a)n(d) I comb it # xxx .
  4. eng_USA_Brown/sarah090.cha, line 1059 · Sarah, 4;1.04
    CHIwhat ?
    FATit +...
    FAT*FAT: # see there's a bumble+bee .
    FATdo you like them ?
    CHIyeah .

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_Brown3.09
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah090.chaSarah 4;1.041,296443.09

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. there's4 · 100.0%