PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

3.52 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (463 utterances, 1,986 words searched).

  1. ya didn't see him . MOT · eng_USA_Brown/sarah058.cha, line 121 · Sarah 3;04
  2. see what # there's nothin(g) in there . MOT · eng_USA_Brown/sarah058.cha, line 147 · Sarah 3;04
  3. see # Mommy bought +... MOT · eng_USA_Brown/sarah058.cha, line 204 · Sarah 3;04
  4. see ? MOT · eng_USA_Brown/sarah058.cha, line 213 · Sarah 3;04
  5. right there # see ? MOT · eng_USA_Brown/sarah058.cha, line 860 · Sarah 3;04
  6. someday you'll see somethin(g) good . KEN · eng_USA_Brown/sarah058.cha, line 1234 · Sarah 3;04
  7. let's see # what has Santa_Claus +/. MOT · eng_USA_Brown/sarah058.cha, line 1718 · Sarah 3;04
  1. KENwhat did Fred do this week ?
    CHIuh # he hop .
    MOT*MOT: ya didn't see him .
    CHII # xxx .
    CHII'm hungry .
  2. CHII want some .
    MOTya can't eat (un)till after Christmas .
    MOT*MOT: see what # there's nothin(g) in there .
    CHII wan(t) fudgesicle .
    MOTthere isn't any .
  3. MOTtoday's Daddy's birthday .
    CHIxxx .
    MOT*MOT: see # Mommy bought +...
    MOT# <shut the> [/] # shut the freezer .
    CHI0 .
  4. CHI0 .
    MOTMommy # bought the candles .
    MOT*MOT: see ?
    MOTshut the door .
    MOTum # Mommy bought the candles .
  5. MOTis that your new book ?
    CHII fin(d) it ?
    MOT*MOT: right there # see ?
    KENoh a new book .
    CHIyeah .
  6. MOTwell [?] we have to pick up the s@l # t@l # o@l # v@l # e@l # so she always says I want a p@l # t@l # r@l # r@l # t@l # r@l # d@l .
    CHIr@l # p@l # a@l # p@l . [+ bch]
    KEN*KEN: someday you'll see somethin(g) good .
    MOTwhat about dollies ?
    MOTdo ya want any dollies ?
  7. MOTwe stupid # heh ?
    MOTthat's a big list .
    MOT*MOT: let's see # what has Santa_Claus +/.

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_Brown3.52
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah058.chaSarah 3;4.161,986773.52

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. see7 · 100.0%