PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

2.50 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (506 utterances, 1,999 words searched).

  1. who's Nana ? MOT · eng_british_Manchester_II/nic22b.cha, line 976 · Nicole 2;07
  2. who's this Nana you keep talking about ? MOT · eng_british_Manchester_II/nic22b.cha, line 978 · Nicole 2;07
  3. who's this Nana you keep talking about ? MOT · eng_british_Manchester_II/nic22b.cha, line 983 · Nicole 2;07
  4. your Nana isn't here . MOT · eng_british_Manchester_II/nic22b.cha, line 1348 · Nicole 2;07
  5. your Nana isn't here . MOT · eng_british_Manchester_II/nic22b.cha, line 1354 · Nicole 2;07
  1. CHINicole do again .
    MOThmm ?
    MOT*MOT: who's Nana ?
    MOTwho's this Nana you keep talking about ?
    MOThmm ?
  2. MOThmm ?
    MOTwho's Nana ?
    MOT*MOT: who's this Nana you keep talking about ?
    MOThmm ?
    MOTwho's this Nana you keep talking about ?
  3. MOTwho's this Nana you keep talking about ?
    MOThmm ?
    MOT*MOT: who's this Nana you keep talking about ?
    MOThmm ?
    CHIum I draw on a face .
  4. MOTpardon ?
    CHINicole [= pronounced Nana] want [*] a cuddle .
    MOT*MOT: your Nana isn't here .
    CHINicole .
    CHINana wants a cuddle , Mummy .
  5. CHINicole .
    CHINana wants a cuddle , Mummy .
    MOT*MOT: your Nana isn't here .
    CHINicole .
    MOTNicole .

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_II2.50
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/nic22b.chaNicole 2;7.121,999552.50

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. nana5 · 100.0%