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. would cha ? FAT · eng_USA_Brown/sarah090.cha, line 786 · Sarah 4;01
  2. would cha ? FAT · eng_USA_Brown/sarah090.cha, line 788 · Sarah 4;01
  3. would cha eat any ? FAT · eng_USA_Brown/sarah090.cha, line 792 · Sarah 4;01
  4. did cha ? FAT · eng_USA_Brown/sarah090.cha, line 1118 · Sarah 4;01
  1. eng_USA_Brown/sarah090.cha, line 786 · Sarah, 4;1.04
    FATyou want to work with me # ya take care of the candy desk ?
    CHIyeah .
    FAT*FAT: would cha ?
    FATwould cha ?
    MOTthought I saw somethin(g) .
  2. eng_USA_Brown/sarah090.cha, line 788 · Sarah, 4;1.04
    CHIyeah .
    FATwould cha ?
    FAT*FAT: would cha ?
    MOTthought I saw somethin(g) .
    FATwould cha eat any ?
  3. eng_USA_Brown/sarah090.cha, line 792 · Sarah, 4;1.04
    FATwould cha ?
    MOTthought I saw somethin(g) .
    FAT*FAT: would cha eat any ?
    CHIno .
    FAThuh ?
  4. eng_USA_Brown/sarah090.cha, line 1118 · Sarah, 4;1.04
    CHII guessed .
    CHII guessed huh ?
    FAT*FAT: did cha ?
    CHIyeah .
    FATwhere do the stores get tuna+fish ?

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. cha4 · 100.0%