PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

2.72 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (662 utterances, 2,204 words searched).

  1. a bonfire . MOT · eng_british_Manchester_II/ruth18a.cha, line 1017 · Ruth 2;05
  2. are you going to a bonfire ? MOT · eng_british_Manchester_II/ruth18a.cha, line 1021 · Ruth 2;05
  3. where did you see a bonfire ? MOT · eng_british_Manchester_II/ruth18a.cha, line 1027 · Ruth 2;05
  4. was it a good bonfire ? MOT · eng_british_Manchester_II/ruth18a.cha, line 1038 · Ruth 2;05
  5. was it a naughty bonfire ? MOT · eng_british_Manchester_II/ruth18a.cha, line 1044 · Ruth 2;05
  6. why was it a naughty bonfire ? MOT · eng_british_Manchester_II/ruth18a.cha, line 1046 · Ruth 2;05
  1. MOTwe're going to see a bon(fire) +...
    CHI++ fire .
    MOT*MOT: a bonfire .
    MOTmmhm .
    MOTare you going to a bonfire ?
  2. MOTa bonfire .
    MOTmmhm .
    MOT*MOT: are you going to a bonfire ?
    CHIme Mama Dada .
    MOTwith your Mummy and Daddy .
  3. CHIme Mama Dada .
    MOTwith your Mummy and Daddy .
    MOT*MOT: where did you see a bonfire ?
    CHIme [*] house .
    MOTyour +...
  4. CHIhouse .
    MOTyour house .
    MOT*MOT: was it a good bonfire ?
    CHImmhm .
    CHIa naughty bonfire .
  5. CHImmhm .
    CHIa naughty bonfire .
    MOT*MOT: was it a naughty bonfire ?
    MOTwhy was it a naughty bonfire ?
    MOTbonfires don't pull hair .
  6. CHIa naughty bonfire .
    MOTwas it a naughty bonfire ?
    MOT*MOT: why was it a naughty bonfire ?
    MOTbonfires don't pull hair .
    CHIBobby_bear .

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. Ruth eng_british_Manchester_II2.72
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/ruth18a.chaRuth 2;5.062,204662.72

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. bonfire6 · 100.0%