PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

4.01 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (378 utterances, 1,497 words searched).

  1. what's this xxx in here # this red stuff ? MOT · eng_USA_Brown/sarah029.cha, line 18 · Sarah 2;09
  2. no # this over here . MOT · eng_USA_Brown/sarah029.cha, line 25 · Sarah 2;09
  3. can't dig no dirt here # huh . FAT · eng_USA_Brown/sarah029.cha, line 1021 · Sarah 2;09
  4. one there # one here . FAT · eng_USA_Brown/sarah029.cha, line 1332 · Sarah 2;09
  5. this here ? FAT · eng_USA_Brown/sarah029.cha, line 1380 · Sarah 2;09
  6. when I'm not here ? FAT · eng_USA_Brown/sarah029.cha, line 1432 · Sarah 2;09
  1. eng_USA_Brown/sarah029.cha, line 18 · Sarah, 2;9.14
    CHIxxx .
    MOTwhat kind of ice+cream ?
    MOT*MOT: what's this xxx in here # this red stuff ?
    MOToh # I know what it is .
    MOTthat's from your +...
  2. eng_USA_Brown/sarah029.cha, line 25 · Sarah, 2;9.14
    MOToh # I know what it is .
    MOTthat's from your +...
    MOT*MOT: no # this over here .
    MOTthis must be from uh your new toys # the shovel ?
    MOTis that what it is ?
  3. eng_USA_Brown/sarah029.cha, line 1021 · Sarah, 2;9.14
    FATdo you want to see Russell # Sunday ?
    FATand you can play with Darlene ?
    FAT*FAT: can't dig no dirt here # huh .
    FATwhy ?
    FATso # hey # what else is new ?
  4. eng_USA_Brown/sarah029.cha, line 1332 · Sarah, 2;9.14
    CHItwo .
    FATwhere ?
    FAT*FAT: one there # one here .
    CHI<one here> [/] # one here .
    FAThow many ponies have you got ?
  5. eng_USA_Brown/sarah029.cha, line 1380 · Sarah, 2;9.14
    FATa car ?
    FATwhere's the car ?
    FAT*FAT: this here ?
    FATthat ?
    FATxxx ?
  6. eng_USA_Brown/sarah029.cha, line 1432 · Sarah, 2;9.14
    CHIxxx floor .
    FATon the floor ?
    FAT*FAT: when I'm not here ?
    CHIwhere go ?
    FATright 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_Brown4.01
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah029.chaSarah 2;9.141,497664.01

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. here6 · 100.0%