PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

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

  1. no money in there ? FAT · eng_USA_Brown/sarah021.cha, line 542 · Sarah 2;07
  2. right there . FAT · eng_USA_Brown/sarah021.cha, line 765 · Sarah 2;07
  3. come on # get out of there . MOT · eng_USA_Brown/sarah021.cha, line 1160 · Sarah 2;07
  4. your shoes there ? FAT · eng_USA_Brown/sarah021.cha, line 1351 · Sarah 2;07
  5. there ? FAT · eng_USA_Brown/sarah021.cha, line 1518 · Sarah 2;07
  6. oh # there it is . MOT · eng_USA_Brown/sarah021.cha, line 1563 · Sarah 2;07
  7. what happened there ? FAT · eng_USA_Brown/sarah021.cha, line 1566 · Sarah 2;07
  1. eng_USA_Brown/sarah021.cha, line 542 · Sarah, 2;7.12
    FATany money in your bank ?
    CHI0 .
    FAT*FAT: no money in there ?
    CHIno mo(n)ey xxx .
    CHIxxx .
  2. eng_USA_Brown/sarah021.cha, line 765 · Sarah, 2;7.12
    FATthe tv hit you ?
    CHIright here .
    FAT*FAT: right there .
    FATwhere ?
    CHIup .
  3. eng_USA_Brown/sarah021.cha, line 1160 · Sarah, 2;7.12
    FATyour tongue is red too .
    CHI0 [=! pleasure noises] .
    MOT*MOT: come on # get out of there .
    CHII poke my eye out .
    MOTyeah # you'll poke your eye out all right .
  4. eng_USA_Brown/sarah021.cha, line 1351 · Sarah, 2;7.12
    CHIyou(r) shoe here .
    CHImy shoe dere .
    FAT*FAT: your shoes there ?
    CHIdere .
    FATyou gonna get new shoes for Easter .
  5. eng_USA_Brown/sarah021.cha, line 1518 · Sarah, 2;7.12
    FATwhere ?
    CHIwhat happen ?
    FAT*FAT: there ?
    FATTeppy .
    CHIxxx Teppy ?
  6. eng_USA_Brown/sarah021.cha, line 1563 · Sarah, 2;7.12
    CHIa new one .
    MOTyeah .
    MOT*MOT: oh # there it is .
    FATwhat happened there ?
    CHIno so wet .
  7. eng_USA_Brown/sarah021.cha, line 1566 · Sarah, 2;7.12
    MOTyeah .
    MOToh # there it is .
    FAT*FAT: what happened there ?
    CHIno so wet .
    CHIa Teppy (a)gain .

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_Brown4.82
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah021.chaSarah 2;7.121,452774.82

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. there7 · 100.0%