PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

1.96 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (373 utterances, 1,530 words searched).

  1. not many of them have legs but that blue one's a good one . MOT · eng_british_Manchester_II/john29a.cha, line 683 · John 2;09
  2. do you want to do your tens in blue ? MOT · eng_british_Manchester_II/john29a.cha, line 686 · John 2;09
  3. that's a very deep blue that , John . MOT · eng_british_Manchester_II/john29a.cha, line 753 · John 2;09
  1. MOToh Rosie .
    MOTthat's a good crown , John .
    MOT*MOT: not many of them have legs but that blue one's a good one .
    MOTdo you want to do your tens in blue ?
    CHIlike do the o@l-s .
  2. MOTthat's a good crown , John .
    MOTnot many of them have legs but that blue one's a good one .
    MOT*MOT: do you want to do your tens in blue ?
    CHIlike do the o@l-s .
    MOTokay .
  3. MOTdo that one .
    MOToh hiccup .
    MOT*MOT: that's a very deep blue that , John .
    MOTmmhm .
    MOTthe harder you press the deeper the color gets .

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. John eng_british_Manchester_II1.96
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/john29a.chaJohn 2;9.051,530331.96

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. blue3 · 100.0%