PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

4.26 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (379 utterances, 1,645 words searched).

  1. y(ou) know who that looks like ? MOT · eng_USA_Brown/sarah105.cha, line 122 · Sarah 4;04
  2. it looks like Eleanor in the hat . FAT · eng_USA_Brown/sarah105.cha, line 124 · Sarah 4;04
  3. it looks kind of like fun . MEL · eng_USA_Brown/sarah105.cha, line 670 · Sarah 4;04
  4. it looks like your head . FAT · eng_USA_Brown/sarah105.cha, line 1089 · Sarah 4;04
  5. it looks like a nice four that way . FAT · eng_USA_Brown/sarah105.cha, line 1418 · Sarah 4;04
  6. it looks like a [/] a +... FAT · eng_USA_Brown/sarah105.cha, line 1421 · Sarah 4;04
  7. it looks like an a@l . FAT · eng_USA_Brown/sarah105.cha, line 1427 · Sarah 4;04
  1. CHIyeah .
    CHIreally Ann_Marie's ?
    MOT*MOT: y(ou) know who that looks like ?
    FATit looks like Eleanor in the hat .
    MOTthat's Eleanor # wait a minute # wait a minute .
  2. CHIreally Ann_Marie's ?
    MOTy(ou) know who that looks like ?
    FAT*FAT: it looks like Eleanor in the hat .
    MOTthat's Eleanor # wait a minute # wait a minute .
    MOTI think the other one is Maggie .
  3. CHII don't mind .
    MOTyou don't mind !
    MEL*MEL: it looks kind of like fun .
    MOToh # it's real fun .
    CHII wanna write too .
  4. FATput your mouth in .
    CHIok .
    FAT*FAT: it looks like your head .
    CHI0 .
    FATc(o)me on .
  5. CHIan l@l .
    FATan l@l ?
    FAT*FAT: it looks like a nice four that way .
    FATit looks like a [/] a +...
    CHIa ten ?
  6. FATan l@l ?
    FATit looks like a nice four that way .
    FAT*FAT: it looks like a [/] a +...
    CHIa ten ?
    FATno .
  7. CHIa ten ?
    FATno .
    FAT*FAT: it looks like an a@l .
    CHIlike dis is a a@l .
    FATwrite dog .

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_Brown4.26
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah105.chaSarah 4;4.181,645774.26

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. looks7 · 100.0%