PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

3.05 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (263 utterances, 985 words searched).

  1. yeah # we went to the store . MOT · eng_USA_Brown/sarah038.cha, line 193 · Sarah 2;11
  2. took Daddy up to the store # huh . MOT · eng_USA_Brown/sarah038.cha, line 199 · Sarah 2;11
  3. you can go to the store in a little while # if you're a good girl . MOT · eng_USA_Brown/sarah038.cha, line 205 · Sarah 2;11
  1. eng_USA_Brown/sarah038.cha, line 193 · Sarah, 2;11.23
    MOTyou know where we went # where'd we go ?
    CHIum # store .
    MOT*MOT: yeah # we went to the store .
    CHIum .
    MOTum .
  2. eng_USA_Brown/sarah038.cha, line 199 · Sarah, 2;11.23
    CHIum .
    MOTum .
    MOT*MOT: took Daddy up to the store # huh .
    MOTyeah .
    MOThuh ?
  3. eng_USA_Brown/sarah038.cha, line 205 · Sarah, 2;11.23
    MOTyeah .
    MOThuh ?
    MOT*MOT: you can go to the store in a little while # if you're a good girl .
    MOTyou gonna be a good girl ?
    MOTwant to go to the beach later tonight ?

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_Brown3.05
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah038.chaSarah 2;11.23985333.05

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. store3 · 100.0%