PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

2.94 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (432 utterances, 2,039 words searched).

  1. who's that ? MOT · eng_british_Manchester_II/warr05a.cha, line 545 · Warren 1;11
  2. who's that about ? MOT · eng_british_Manchester_II/warr05a.cha, line 1486 · Warren 1;11
  3. who's that ? MOT · eng_british_Manchester_II/warr05a.cha, line 1496 · Warren 1;11
  4. who's that ? MOT · eng_british_Manchester_II/warr05a.cha, line 1498 · Warren 1;11
  5. oh <what's> [//] who's here ? MOT · eng_british_Manchester_II/warr05a.cha, line 1518 · Warren 1;11
  6. who's on this picture ? MOT · eng_british_Manchester_II/warr05a.cha, line 1520 · Warren 1;11
  1. eng_british_Manchester_II/warr05a.cha, line 545 · Warren, 1;11.26
    MOTand drop [//] sort of drop it on like that .
    MOTlook .
    MOT*MOT: who's that ?
    MOTthat's Spot the dog .
    MOTwith a bone .
  2. eng_british_Manchester_II/warr05a.cha, line 1486 · Warren, 1;11.26
    MOTwhat about this book .
    CHIthis book .
    MOT*MOT: who's that about ?
    CHIPostman_Pat .
    CHIMummy [/] Mummy knee .
  3. eng_british_Manchester_II/warr05a.cha, line 1496 · Warren, 1;11.26
    CHIMummy [/] Mummy knee .
    MOTwhy don't you sing the Postman_Pat song while we get the book sorted out ?
    MOT*MOT: who's that ?
    MOTwho's that ?
    MOTit's Postman_Pat's cat Jess .
  4. eng_british_Manchester_II/warr05a.cha, line 1498 · Warren, 1;11.26
    MOTwhy don't you sing the Postman_Pat song while we get the book sorted out ?
    MOTwho's that ?
    MOT*MOT: who's that ?
    MOTit's Postman_Pat's cat Jess .
    CHIMummy read it .
  5. eng_british_Manchester_II/warr05a.cha, line 1518 · Warren, 1;11.26
    MOTone cat .
    MOTwww .
    MOT*MOT: oh <what's> [//] who's here ?
    MOTwho's on this picture ?
    CHIPostman_Pat [*] cat .
  6. eng_british_Manchester_II/warr05a.cha, line 1520 · Warren, 1;11.26
    MOTwww .
    MOToh <what's> [//] who's here ?
    MOT*MOT: who's on this picture ?
    CHIPostman_Pat [*] cat .
    MOTand what are these ?

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. Warren eng_british_Manchester_II2.94
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/warr05a.chaWarren 1;11.262,039662.94

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. who's6 · 100.0%