PHPCLANCHILDES with regular expressions

4 matches in 4 utterances

2.58 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (416 utterances, 1,550 words searched).

  1. your mints . INV · eng_british_Manchester_II/nic24b.cha, line 1203 · Nicole 2;09
  2. who bought your mints for you ? MOT · eng_british_Manchester_II/nic24b.cha, line 1425 · Nicole 2;09
  3. who bought your mints for you , Nicole ? MOT · eng_british_Manchester_II/nic24b.cha, line 1431 · Nicole 2;09
  4. who bought your mints for you ? MOT · eng_british_Manchester_II/nic24b.cha, line 1436 · Nicole 2;09
  1. CHIxxx .
    CHImy mints .
    INV*INV: your mints .
    CHIwho bought them ?
    CHIwho bought them ?
  2. CHIwho bought them ?
    MOTyou tell Mummy who bought them .
    MOT*MOT: who bought your mints for you ?
    MOTNicole ?
    CHImmm .
  3. MOTNicole ?
    CHImmm .
    MOT*MOT: who bought your mints for you , Nicole ?
    MOToh dear .
    MOTwho bought your mints for you ?
  4. MOTwho bought your mints for you , Nicole ?
    MOToh dear .
    MOT*MOT: who bought your mints for you ?
    MOTcan you remember ?
    MOTare you listening to me ?

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_II2.58
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/nic24b.chaNicole 2;9.031,550442.58

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. mints4 · 100.0%