PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

3.82 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (450 utterances, 1,570 words searched).

  1. I'm coming . MOT · eng_british_Manchester_I/anne19b.cha, line 544 · Anne 2;04
  2. piggy coming under ? MOT · eng_british_Manchester_I/anne19b.cha, line 920 · Anne 2;04
  3. coming back the other way now . MOT · eng_british_Manchester_I/anne19b.cha, line 944 · Anne 2;04
  4. there's a big tiger coming . MOT · eng_british_Manchester_I/anne19b.cha, line 983 · Anne 2;04
  5. there's a tiger coming . MOT · eng_british_Manchester_I/anne19b.cha, line 985 · Anne 2;04
  6. where's he coming ? MOT · eng_british_Manchester_I/anne19b.cha, line 987 · Anne 2;04
  1. eng_british_Manchester_I/anne19b.cha, line 544 · Anne, 2;4.12
    CHIyou do one with me .
    MOTyeah .
    MOT*MOT: I'm coming .
    MOToh .
    INVwww .
  2. eng_british_Manchester_I/anne19b.cha, line 920 · Anne, 2;4.12
    CHIme not cares .
    CHIbroke piggy's bones .
    MOT*MOT: piggy coming under ?
    MOToh .
    MOTthe pig could hide in the trailer , look ,, couldn't he ?
  3. eng_british_Manchester_I/anne19b.cha, line 944 · Anne, 2;4.12
    MOTwill the piggy go under or is he too big ?
    MOTyes .
    MOT*MOT: coming back the other way now .
    MOToh oh oh .
    MOToh crash .
  4. eng_british_Manchester_I/anne19b.cha, line 983 · Anne, 2;4.12
    MOTwhy're you breaking it all up , Anne ?
    MOTto get a reaction ?
    MOT*MOT: there's a big tiger coming .
    MOTthere's a tiger coming .
    MOTwhere's he coming ?
  5. eng_british_Manchester_I/anne19b.cha, line 985 · Anne, 2;4.12
    MOTto get a reaction ?
    MOTthere's a big tiger coming .
    MOT*MOT: there's a tiger coming .
    MOTwhere's he coming ?
    MOTis this the tiger ?
  6. eng_british_Manchester_I/anne19b.cha, line 987 · Anne, 2;4.12
    MOTthere's a big tiger coming .
    MOTthere's a tiger coming .
    MOT*MOT: where's he coming ?
    MOTis this the tiger ?
    MOTI'll get him .

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_I3.82
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/anne19b.chaAnne 2;4.121,570663.82

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. coming6 · 100.0%