PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

5.58 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (260 utterances, 538 words searched).

  1. c(o)me (h)ere . MOT · eng_USA_Brown/sarah001.cha, line 24
  2. let me see . MOT · eng_USA_Brown/sarah001.cha, line 341
  3. c(o)me (h)ere . SAR · eng_USA_Brown/sarah001.cha, line 471
  1. eng_USA_Brown/sarah001.cha, line 24
    GLOnow # the next thing # if you can just ask # a play a game <with Carol> [//] # with a Sarah # now # ask her parts of the body or what's this .
    GLO<don't> [/] don't use the words yourself # just ask her .
    MOT*MOT: c(o)me (h)ere .
    SARxx .
    GLOalright .
  2. eng_USA_Brown/sarah001.cha, line 341
    GLOoh # it's a Bobo@f .
    SARno .
    MOT*MOT: let me see .
    SARda@b # da@b # da@b .
    SARbo@b # bo@b # bo@b # bo@b .
  3. eng_USA_Brown/sarah001.cha, line 471
    SARa .
    SARxx .
    SAR*SAR: c(o)me (h)ere .
    SARup dere .
    SARup dere .

Matches by child

Matches per 1,000 words, all transcripts of each child together, highest first.

  1. Sarah eng_USA_Brown5.58
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah001.chaSarah 538335.58

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. me3 · 100.0%