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. get [/] # get the new book and tell it to Bugs . MOT · eng_USA_Brown/sarah058.cha, line 811 · Sarah 3;04
  2. is that your new book ? MOT · eng_USA_Brown/sarah058.cha, line 856 · Sarah 3;04
  3. oh a new book . KEN · eng_USA_Brown/sarah058.cha, line 862 · Sarah 3;04
  4. tell [/] # tell Kent about how the book got here . MOT · eng_USA_Brown/sarah058.cha, line 872 · Sarah 3;04
  5. how did the book get here ? KEN · eng_USA_Brown/sarah058.cha, line 884 · Sarah 3;04
  6. who brought ya the book ? KEN · eng_USA_Brown/sarah058.cha, line 886 · Sarah 3;04
  7. what's the name of the reindeer on the front of the book ? KEN · eng_USA_Brown/sarah058.cha, line 944 · Sarah 3;04
  1. CHI0 .
    KENcome on tell the story .
    MOT*MOT: get [/] # get the new book and tell it to Bugs .
    CHI(a)n(d) I can('t) find a book ?
    MOTno # just the new one .
  2. MOTright there .
    MOTya got your foot on it .
    MOT*MOT: is that your new book ?
    CHII fin(d) it ?
    MOTright there # see ?
  3. CHII fin(d) it ?
    MOTright there # see ?
    KEN*KEN: oh a new book .
    CHIyeah .
    KENread it to Bugs ?
  4. KENhelp him go to sleep ?
    CHII s(l)eep under there .
    MOT*MOT: tell [/] # tell Kent about how the book got here .
    KENhere # why don't I hold Millisandy too ?
    CHIalright .
  5. CHIalright .
    KEN<I think> [/] # I think he'd like to hear it too .
    KEN*KEN: how did the book get here ?
    KENwho brought ya the book ?
    CHISanta_Claus .
  6. KEN<I think> [/] # I think he'd like to hear it too .
    KENhow did the book get here ?
    KEN*KEN: who brought ya the book ?
    CHISanta_Claus .
    CHIfinge(r) ok .
  7. CHI(a)n(d) some now # Santa's reindeer says no uh +...
    CHI(a)n(d) that Santa_Claus wen(t) there # (a)n(d) come # there .
    KEN*KEN: what's the name of the reindeer on the front of the book ?
    CHIRick .
    KENthe one with the red nose .

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. book7 · 100.0%