PHPCLANCHILDES with regular expressions

4 matches in 4 utterances

2.06 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (520 utterances, 1,942 words searched).

  1. shall we make a beef+burger up ? MOT · eng_british_Manchester_II/nic18b.cha, line 805 · Nicole 2;06
  2. where's the beef+burger ? MOT · eng_british_Manchester_II/nic18b.cha, line 817 · Nicole 2;06
  3. we've got beef+burger in there . MOT · eng_british_Manchester_II/nic18b.cha, line 821 · Nicole 2;06
  4. come here and eat this beef+burger I've made for you . MOT · eng_british_Manchester_II/nic18b.cha, line 874 · Nicole 2;06
  1. eng_british_Manchester_II/nic18b.cha, line 805 · Nicole, 2;6.23
    MOTcome on round here , please .
    MOTI don't want you doing that .
    MOT*MOT: shall we make a beef+burger up ?
    MOTa lettuce .
    MOTa gherkin .
  2. eng_british_Manchester_II/nic18b.cha, line 817 · Nicole, 2;6.23
    CHIyeah .
    MOTnow .
    MOT*MOT: where's the beef+burger ?
    MOToh .
    MOTwe've got beef+burger in there .
  3. eng_british_Manchester_II/nic18b.cha, line 821 · Nicole, 2;6.23
    MOTwhere's the beef+burger ?
    MOToh .
    MOT*MOT: we've got beef+burger in there .
    CHIxxx .
    CHIno .
  4. eng_british_Manchester_II/nic18b.cha, line 874 · Nicole, 2;6.23
    INVwww .
    MOTNicole .
    MOT*MOT: come here and eat this beef+burger I've made for you .
    MOTwith cheese and gherkin , look .
    MOTyummy .

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. Nicole eng_british_Manchester_II2.06
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/nic18b.chaNicole 2;6.231,942442.06

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. beef+burger4 · 100.0%