PHPCLANCHILDES with regular expressions

4 matches in 2 utterances

3.02 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (320 utterances, 1,325 words searched).

  1. well # I'll have to get em . MOT · eng_USA_Brown/sarah049.cha, line 288 · Sarah 3;02
  2. well # well # well . MOT · eng_USA_Brown/sarah049.cha, line 354 · Sarah 3;02
  3. well # well # well . MOT · eng_USA_Brown/sarah049.cha, line 354 · Sarah 3;02
  4. well # well # well . MOT · eng_USA_Brown/sarah049.cha, line 354 · Sarah 3;02
  1. eng_USA_Brown/sarah049.cha, line 288 · Sarah, 3;2.16
    MOTya want to get the ones up there ?
    CHIyep .
    MOT*MOT: well # I'll have to get em .
    MOTyou can't reach them .
    CHIyou reach them .
  2. eng_USA_Brown/sarah049.cha, line 354 · Sarah, 3;2.16
    CHIcome o(n) .
    GLOMrs Parkers .
    MOT*MOT: well # well # well .
    MOTthat's when she has her tea at night and her Mother (a)n(d) I have <out &t> [//] she has her own little # cup those cups .
    MOT(a)n(d) she puts her tea bag in and she has tea with the xxx .

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_Brown3.02
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah049.chaSarah 3;2.161,325243.02

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. well4 · 100.0%