PHPCLANCHILDES with regular expressions

4 matches in 4 utterances

3.29 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (327 utterances, 1,215 words searched).

  1. three what ? MOT · eng_USA_Brown/sarah053.cha, line 1532 · Sarah 3;03
  2. <three pennies> [<] . MOT · eng_USA_Brown/sarah053.cha, line 1537 · Sarah 3;03
  3. oh # three pennies . MOT · eng_USA_Brown/sarah053.cha, line 1539 · Sarah 3;03
  4. ya got three pennies and you're gonna buy all this ? MOT · eng_USA_Brown/sarah053.cha, line 1544 · Sarah 3;03
  1. MOThow much money ya got ?
    CHIthree .
    MOT*MOT: three what ?
    CHI<three pennies> [?] .
    MOT<three pennies> [<] .
  2. MOTthree what ?
    CHI<three pennies> [?] .
    MOT*MOT: <three pennies> [<] .
    MOToh # three pennies .
    CHIthree pennies .
  3. CHI<three pennies> [?] .
    MOT<three pennies> [<] .
    MOT*MOT: oh # three pennies .
    CHIthree pennies .
    MOTya got three pennies and you're gonna buy all this ?
  4. MOToh # three pennies .
    CHIthree pennies .
    MOT*MOT: ya got three pennies and you're gonna buy all this ?
    CHIyep .
    CHImmhm .

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_Brown3.29
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah053.chaSarah 3;3.131,215443.29

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. three4 · 100.0%