PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

2.19 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (324 utterances, 1,368 words searched).

  1. well chew it . MOT · eng_USA_Brown/sarah057.cha, line 697 · Sarah 3;04
  2. will you chew that grape ? MOT · eng_USA_Brown/sarah057.cha, line 720 · Sarah 3;04
  3. chew on it (a)n(d) swallow (a)n(d) get rid of it . MOT · eng_USA_Brown/sarah057.cha, line 885 · Sarah 3;04
  1. eng_USA_Brown/sarah057.cha, line 697 · Sarah, 3;4.09
    MOTle(t) me see .
    CHIuh .
    MOT*MOT: well chew it .
    CHIum uh # um # ouch !
    CHIthere +...
  2. eng_USA_Brown/sarah057.cha, line 720 · Sarah, 3;4.09
    MOThmm ?
    CHIwha(t) le(tter) +...
    MOT*MOT: will you chew that grape ?
    MOTdon't be funny .
    MOTnext week is Daddy's birthday .
  3. eng_USA_Brown/sarah057.cha, line 885 · Sarah, 3;4.09
    MOTI want to tell ya somethin(g) .
    MOTopen you mouth .
    MOT*MOT: chew on it (a)n(d) swallow (a)n(d) get rid of it .
    MOTcome on # you're not goin(g) around with that in your mouth .
    CHI0 .

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_Brown2.19
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah057.chaSarah 3;4.091,368332.19

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. chew3 · 100.0%