PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

2.86 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (564 utterances, 2,097 words searched).

  1. we've found a beef+burger . MOT · eng_british_Manchester_II/nic04b.cha, line 172 · Nicole 2;01
  2. beef+burger . MOT · eng_british_Manchester_II/nic04b.cha, line 185 · Nicole 2;01
  3. you can make the beef+burger up now . MOT · eng_british_Manchester_II/nic04b.cha, line 189 · Nicole 2;01
  4. we're gonna [: going to] make a beef+burger , aren't we ? MOT · eng_british_Manchester_II/nic04b.cha, line 217 · Nicole 2;01
  5. put your beef+burger on . MOT · eng_british_Manchester_II/nic04b.cha, line 224 · Nicole 2;01
  6. beef+burger . MOT · eng_british_Manchester_II/nic04b.cha, line 244 · Nicole 2;01
  1. eng_british_Manchester_II/nic04b.cha, line 172 · Nicole, 2;1.22
    MOTit's not real .
    MOToh and look .
    MOT*MOT: we've found a beef+burger .
    MOTyeah .
    INVyeah .
  2. eng_british_Manchester_II/nic04b.cha, line 185 · Nicole, 2;1.22
    MOTwww .
    CHIbeef+burger .
    MOT*MOT: beef+burger .
    CHIyeah .
    MOTyou can make the beef+burger up now .
  3. eng_british_Manchester_II/nic04b.cha, line 189 · Nicole, 2;1.22
    MOTbeef+burger .
    CHIyeah .
    MOT*MOT: you can make the beef+burger up now .
    MOTxxx .
    CHIin there .
  4. eng_british_Manchester_II/nic04b.cha, line 217 · Nicole, 2;1.22
    MOTright .
    MOTso +...
    MOT*MOT: we're gonna [: going to] make a beef+burger , aren't we ?
    MOTput your lettuce on .
    CHImmhm .
  5. eng_british_Manchester_II/nic04b.cha, line 224 · Nicole, 2;1.22
    MOTput your lettuce on .
    CHImmhm .
    MOT*MOT: put your beef+burger on .
    MOTput your cheese on .
    MOTput the cheese on .
  6. eng_british_Manchester_II/nic04b.cha, line 244 · Nicole, 2;1.22
    MOTthere we go .
    MOTwow .
    MOT*MOT: beef+burger .
    MOTxxx +/.
    CHIwow .

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_II2.86
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/nic04b.chaNicole 2;1.222,097662.86

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+burger6 · 100.0%