PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

3.74 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (461 utterances, 1,603 words searched).

  1. why don't you get your cats and dogs and make a crown with them . MOT · eng_british_Manchester_I/becky12a.cha, line 129 · Becky 2;03
  2. shall we put them together ? MOT · eng_british_Manchester_I/becky12a.cha, line 146 · Becky 2;03
  3. let's pull them up . MOT · eng_british_Manchester_I/becky12a.cha, line 309 · Becky 2;03
  4. bring them in then . MOT · eng_british_Manchester_I/becky12a.cha, line 1639 · Becky 2;03
  5. I don't know what's happened to them all . MOT · eng_british_Manchester_I/becky12a.cha, line 1735 · Becky 2;03
  6. you can put them away afterwards . MOT · eng_british_Manchester_I/becky12a.cha, line 1764 · Becky 2;03
  1. eng_british_Manchester_I/becky12a.cha, line 129 · Becky, 2;3.27
    MOToh .
    MOToh dear .
    MOT*MOT: why don't you get your cats and dogs and make a crown with them .
    MOTwhere are they ?
    CHIwhere .
  2. eng_british_Manchester_I/becky12a.cha, line 146 · Becky, 2;3.27
    CHIxxx .
    MOTthey are , aren't they ?
    MOT*MOT: shall we put them together ?
    CHIyes .
    CHII put together .
  3. eng_british_Manchester_I/becky12a.cha, line 309 · Becky, 2;3.27
    CHIyou 0are [*] tickling me .
    MOTlooks as though you're losing your trousers .
    MOT*MOT: let's pull them up .
    CHIlet's pull them up .
    MOTthere you go .
  4. eng_british_Manchester_I/becky12a.cha, line 1639 · Becky, 2;3.27
    CHIyeah .
    MOTgood .
    MOT*MOT: bring them in then .
    CHIthere's yours .
    MOToh .
  5. eng_british_Manchester_I/becky12a.cha, line 1735 · Becky, 2;3.27
    CHII xxx .
    MOTyou know once we had enough of these to make your name , didn't we ?
    MOT*MOT: I don't know what's happened to them all .
    CHIxxx .
    CHII'm all finish .
  6. eng_british_Manchester_I/becky12a.cha, line 1764 · Becky, 2;3.27
    CHIxxx .
    MOTBecky .
    MOT*MOT: you can put them away afterwards .
    CHIthere .
    MOThmm ?

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_I3.74
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/becky12a.chaBecky 2;3.271,603663.74

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. them6 · 100.0%