PHPCLANCHILDES with regular expressions

4 matches in 4 utterances

4.10 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (248 utterances, 975 words searched).

  1. there's c@l . MOT · eng_USA_Brown/sarah066.cha, line 117 · Sarah 3;06
  2. there's one . MOT · eng_USA_Brown/sarah066.cha, line 177 · Sarah 3;06
  3. there's one in there in your carriage . MOT · eng_USA_Brown/sarah066.cha, line 512 · Sarah 3;06
  4. oh # there's some milk in there . MOT · eng_USA_Brown/sarah066.cha, line 897 · Sarah 3;06
  1. MOThere's a@l up here .
    MOTa@l # go down to b@l .
    MOT*MOT: there's c@l .
    MOTwhere's d@l ?
    MOThere's d@l .
  2. KENmmhm .
    MOT<wa(tch)> [/] # <watch it> [/] # watch it .
    MOT*MOT: there's one .
    MOTfind the a@l .
    CHIthe a@l .
  3. CHIxxx .
    CHIxxx # can't find .
    MOT*MOT: there's one in there in your carriage .
    CHIin my carriage ?
    MOTyes .
  4. CHIhey # there isn't much # no more milk in here .
    CHIthere's no milk # in +...
    MOT*MOT: oh # there's some milk in there .
    CHI<it come out> [//] # it doesn't come out .
    MOTI know it doesn't come out .

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_Brown4.10
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah066.chaSarah 3;6.23975444.10

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. there's4 · 100.0%