PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

3.15 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (474 utterances, 1,586 words searched).

  1. what were we doing this morning ? MOT · eng_british_Manchester_I/becky01a.cha, line 446 · Becky 2;00
  2. what are you doing now ? MOT · eng_british_Manchester_I/becky01a.cha, line 805 · Becky 2;00
  3. oh what's Sukie doing ? MOT · eng_british_Manchester_I/becky01a.cha, line 985 · Becky 2;00
  4. what's he doing, Becky ? MOT · eng_british_Manchester_I/becky01a.cha, line 987 · Becky 2;00
  5. what are you doing ? MOT · eng_british_Manchester_I/becky01a.cha, line 1657 · Becky 2;00
  1. INVstrange smells .
    MOTand what's the matter with Sukie, Becky ?
    MOT*MOT: what were we doing this morning ?
    MOThas he xxx putting on his ear ?
    CHIyeah .
  2. MOT<fall down> [<] .
    CHIxxx .
    MOT*MOT: what are you doing now ?
    MOThmm ?
    CHIhair .
  3. MOTcan you remember what you did with it ?
    CHIno .
    MOT*MOT: oh what's Sukie doing ?
    MOTwhat's he doing, Becky ?
    CHIin .
  4. CHIno .
    MOToh what's Sukie doing ?
    MOT*MOT: what's he doing, Becky ?
    CHIin .
    MOThe's in .
  5. MOToh .
    MOToh Becky .
    MOT*MOT: what are you doing ?
    MOTgive me a big cuddle .
    MOToh .

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. Becky eng_british_Manchester_I3.15
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/becky01a.chaBecky 2;0.071,586553.15

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. doing5 · 100.0%