PHPCLANCHILDES with regular expressions

4 matches in 4 utterances

2.68 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (428 utterances, 1,492 words searched).

  1. um we've read Mr_Grumpy . MOT · eng_british_Manchester_II/joel33a.cha, line 1317 · Joel 2;10
  2. um have we read that one ? MOT · eng_british_Manchester_II/joel33a.cha, line 1550 · Joel 2;10
  3. um yes . MOT · eng_british_Manchester_II/joel33a.cha, line 1570 · Joel 2;10
  4. um +... INV · eng_british_Manchester_II/joel33a.cha, line 1734 · Joel 2;10
  1. eng_british_Manchester_II/joel33a.cha, line 1317 · Joel, 2;10.04
    CHIshall we read a book ?
    CHIMr_Grumpy ?
    MOT*MOT: um we've read Mr_Grumpy .
    MOTwhat about one we haven't read .
    CHIshall I take this one , Mummy ?
  2. eng_british_Manchester_II/joel33a.cha, line 1550 · Joel, 2;10.04
    CHIhow much is this one ?
    CHIMr_Bounce .
    MOT*MOT: um have we read that one ?
    CHIno .
    CHIwe haven't .
  3. eng_british_Manchester_II/joel33a.cha, line 1570 · Joel, 2;10.04
    CHIyes .
    CHIoh .
    MOT*MOT: um yes .
    MOThe's one twenty five as well .
    CHIand what about this ?
  4. eng_british_Manchester_II/joel33a.cha, line 1734 · Joel, 2;10.04
    MOTthere isn't a Mr_Nosey , is there ?
    MOTis there a Mr_Nosey ?
    INV*INV: um +...
    CHIyes .
    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. Joel eng_british_Manchester_II2.68
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/joel33a.chaJoel 2;10.041,492442.68

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. um4 · 100.0%