PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

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

  1. what kind did Mummy just say that was ? MOT · eng_USA_Brown/sarah029.cha, line 238 · Sarah 2;09
  2. say grass . FAT · eng_USA_Brown/sarah029.cha, line 714 · Sarah 2;09
  3. say lettuce . FAT · eng_USA_Brown/sarah029.cha, line 774 · Sarah 2;09
  4. now say it . FAT · eng_USA_Brown/sarah029.cha, line 834 · Sarah 2;09
  5. hey # say # fix my swing . FAT · eng_USA_Brown/sarah029.cha, line 840 · Sarah 2;09
  1. FATcan I have a bite ?
    FATgood .
    MOT*MOT: what kind did Mummy just say that was ?
    CHIorange [?] !
    MOT<what kind> [<] orange # yeah .
  2. FATtwo .
    FATand this one's for grass .
    FAT*FAT: say grass .
    CHIgrass .
    FATand that one is for dirt .
  3. CHIyes .
    FATlettuce .
    FAT*FAT: say lettuce .
    CHIlettuce .
    FATdo you know what lettuce is ?
  4. FATchips .
    CHIchips .
    FAT*FAT: now say it .
    FATpotato+chips .
    CHIchipees@c .
  5. FATpotato+chips .
    CHIchipees@c .
    FAT*FAT: hey # say # fix my swing .
    CHIfix my swing .
    FATthat's a hard one # huh .

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_Brown3.34
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah029.chaSarah 2;9.141,497553.34

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. say5 · 100.0%