PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

3.55 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (454 utterances, 1,408 words searched).

  1. sugar ? MOT · eng_british_Manchester_I/anne02b.cha, line 622 · Anne 1;10
  2. sugar ? MOT · eng_british_Manchester_I/anne02b.cha, line 872 · Anne 1;10
  3. are you eating the sugar ? MOT · eng_british_Manchester_I/anne02b.cha, line 882 · Anne 1;10
  4. sugar . MOT · eng_british_Manchester_I/anne02b.cha, line 1022 · Anne 1;10
  5. more sugar . MOT · eng_british_Manchester_I/anne02b.cha, line 1024 · Anne 1;10
  1. CHI&a sugar .
    CHI&a sugar .
    MOT*MOT: sugar ?
    CHI&a sugar .
    CHIon floor .
  2. MOThmm ?
    CHIsugar .
    MOT*MOT: sugar ?
    CHIyeah .
    MOToh .
  3. CHIsugar .
    MOToh right .
    MOT*MOT: are you eating the sugar ?
    MOToh thank you .
    MOTcan I have it in my cup of tea ?
  4. MOToh right .
    CHI&a sugar .
    MOT*MOT: sugar .
    MOTmore sugar .
    MOTI think those are milk with the moo+cows on .
  5. CHI&a sugar .
    MOTsugar .
    MOT*MOT: more sugar .
    MOTI think those are milk with the moo+cows on .
    CHImore nummy@c .

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. Anne eng_british_Manchester_I3.55
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/anne02b.chaAnne 1;10.211,408553.55

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. sugar5 · 100.0%