PHPCLANCHILDES with regular expressions

4 matches in 4 utterances

2.52 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (423 utterances, 1,587 words searched).

  1. see my thumb . MOT · eng_USA_Brown/sarah075.cha, line 828 · Sarah 3;08
  2. see my thumb . MOT · eng_USA_Brown/sarah075.cha, line 836 · Sarah 3;08
  3. see my thumb . FAT · eng_USA_Brown/sarah075.cha, line 844 · Sarah 3;08
  4. <see my thumb> [?] . FAT · eng_USA_Brown/sarah075.cha, line 846 · Sarah 3;08
  1. CHIsee my fist # you better run .
    MOTwant a piece of home made coffee cake ?
    MOT*MOT: see my thumb .
    CHIsee my thumb .
    KENoh # this is good .
  2. KENoh # this is good .
    CHIsee my finger .
    MOT*MOT: see my thumb .
    KENI [/] # I don't take that xxx .
    MOToh # it's good .
  3. MOToh # it's good .
    CHIsee my finger .
    FAT*FAT: see my thumb .
    FAT<see my thumb> [?] .
    CHI<see my thumb> [?] .
  4. CHIsee my finger .
    FATsee my thumb .
    FAT*FAT: <see my thumb> [?] .
    CHI<see my thumb> [?] .
    FAT<see my fist> [?] .

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_Brown2.52
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah075.chaSarah 3;8.271,587442.52

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. thumb4 · 100.0%