PHPCLANCHILDES with regular expressions

4 matches in 4 utterances

3.87 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (321 utterances, 1,034 words searched).

  1. c(o)me (h)ere we'll <get your oth(er)> [/] get your other toys . MOT · eng_USA_Brown/sarah006.cha, line 126 · Sarah 2;03
  2. what can we do now ? MOT · eng_USA_Brown/sarah006.cha, line 1146 · Sarah 2;03
  3. let's see # what'll we do . MOT · eng_USA_Brown/sarah006.cha, line 1148 · Sarah 2;03
  4. yeah # that's Auntie_Eleanor's # we have to remember to give that to Auntie_Eleanor to read . MOT · eng_USA_Brown/sarah006.cha, line 1209 · Sarah 2;03
  1. CHImy phone .
    MOTyour phone .
    MOT*MOT: c(o)me (h)ere we'll <get your oth(er)> [/] get your other toys .
    MOTSarah !
    MOTSarah !
  2. MOTcome out here so you won't +...
    MOTlet Mike sleep in peace .
    MOT*MOT: what can we do now ?
    MOTlet's see # what'll we do .
    MOTwant # a play Ring_a_round_a_rosy ?
  3. MOTlet Mike sleep in peace .
    MOTwhat can we do now ?
    MOT*MOT: let's see # what'll we do .
    MOTwant # a play Ring_a_round_a_rosy ?
    MOThuh ?
  4. CHIxxx .
    CHIxxx .
    MOT*MOT: yeah # that's Auntie_Eleanor's # we have to remember to give that to Auntie_Eleanor to read .
    CHIhappy xxx .
    MOTto you .

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_Brown3.87
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah006.chaSarah 2;3.281,034443.87

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. we4 · 100.0%