PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

3.44 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (372 utterances, 1,452 words searched).

  1. two dresses . FAT · eng_USA_Brown/sarah021.cha, line 246 · Sarah 2;07
  2. do you like two slides ? FAT · eng_USA_Brown/sarah021.cha, line 699 · Sarah 2;07
  3. two balloons ? FAT · eng_USA_Brown/sarah021.cha, line 849 · Sarah 2;07
  4. she's got two noses . FAT · eng_USA_Brown/sarah021.cha, line 1272 · Sarah 2;07
  5. one two three four five . FAT · eng_USA_Brown/sarah021.cha, line 1504 · Sarah 2;07
  1. FATwhat kind of dress you got on ?
    CHItwo dress .
    FAT*FAT: two dresses .
    CHII go .
    FATpretty nice dresses ?
  2. FATdo you like a slide ?
    CHI0 .
    FAT*FAT: do you like two slides ?
    CHItwo slide(s) .
    FATdo you slide out in the backyard ?
  3. CHINana house .
    CHIa two .
    FAT*FAT: two balloons ?
    CHItwo balloons .
    FATwhat color is your dress ?
  4. COUxxx a realistic cow # huh !
    FATthat's her nose .
    FAT*FAT: she's got two noses .
    MOTthat's where the milk comes .
    CHIin here xxx .
  5. CHI<one two three four> [=! counting] . [+ bch]
    CHIdat hand ?
    FAT*FAT: one two three four five .
    CHI<one two three four # five> [=! counting] . [+ bch]
    FATwhat comes after five ?

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_Brown3.44
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah021.chaSarah 2;7.121,452553.44

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. two5 · 100.0%