PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

2.73 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (271 utterances, 1,099 words searched).

  1. she's lost a couple of them # you know . MOT · eng_USA_Brown/sarah071.cha, line 154 · Sarah 3;07
  2. here put it on a piece of paper . MOT · eng_USA_Brown/sarah071.cha, line 417 · Sarah 3;07
  3. what happened to the rest of her ? MOT · eng_USA_Brown/sarah071.cha, line 970 · Sarah 3;07
  1. eng_USA_Brown/sarah071.cha, line 154 · Sarah, 3;7.30
    KENI'll look around # see if I +...
    MOTif ya ever run into one # alphabet (a)n(d) numbers .
    MOT*MOT: she's lost a couple of them # you know .
    CHIif you wound em +...
    MOTshe got them from Filene's .
  2. eng_USA_Brown/sarah071.cha, line 417 · Sarah, 3;7.30
    CHIyyy # write on yyy .
    MOTno huh # not on the table cloth .
    MOT*MOT: here put it on a piece of paper .
    CHInow it looks like at me .
    MOTxxx .
  3. eng_USA_Brown/sarah071.cha, line 970 · Sarah, 3;7.30
    CHIalright +...
    CHIChatty_baby .
    MOT*MOT: what happened to the rest of her ?
    CHII don't know .
    CHIxxx .

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_Brown2.73
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah071.chaSarah 3;7.301,099332.73

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. of3 · 100.0%