PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

3.14 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (265 utterances, 956 words searched).

  1. she had an awful cold # (a)n(d) a temperature # (a)n(d) sick # (a)n(d) +... MOT · eng_USA_Brown/sarah089.cha, line 79 · Sarah 4;00
  2. an elephant . MOT · eng_USA_Brown/sarah089.cha, line 312 · Sarah 4;00
  3. look # in an apple ? FAT · eng_USA_Brown/sarah089.cha, line 822 · Sarah 4;00
  1. eng_USA_Brown/sarah089.cha, line 79 · Sarah, 4;0.28
    MOT0 .
    CHIawful .
    MOT*MOT: she had an awful cold # (a)n(d) a temperature # (a)n(d) sick # (a)n(d) +...
    CHIold piece # so you can make it # huh ?
    FATbut your all better now # Sarah ?
  2. eng_USA_Brown/sarah089.cha, line 312 · Sarah, 4;0.28
    CHIan elephant .
    CHIshe makin(g) an elephant .
    MOT*MOT: an elephant .
    CHIyou're makin(g) one awful .
    FATwhy don't cha make a monster ?
  3. eng_USA_Brown/sarah089.cha, line 822 · Sarah, 4;0.28
    CHIsee ?
    CHIthat's a playground apple .
    FAT*FAT: look # in an apple ?
    CHIa playground apple .
    FATa playground apple .

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_Brown3.14
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah089.chaSarah 4;0.28956333.14

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. an3 · 100.0%