PHPCLANCHILDES with regular expressions

4 matches in 4 utterances

2.58 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (416 utterances, 1,550 words searched).

  1. who's on telly today ? MOT · eng_british_Manchester_II/nic24b.cha, line 1048 · Nicole 2;09
  2. can you remember who's on telly ? MOT · eng_british_Manchester_II/nic24b.cha, line 1052 · Nicole 2;09
  3. I said on Thursday somebody special's coming on telly , didn't I ? MOT · eng_british_Manchester_II/nic24b.cha, line 1054 · Nicole 2;09
  4. who's coming on telly later on ? MOT · eng_british_Manchester_II/nic24b.cha, line 1061 · Nicole 2;09
  1. CHIyeah .
    MOTin a little while ?
    MOT*MOT: who's on telly today ?
    MOTcan you remember who's on telly ?
    MOTI said on Thursday somebody special's coming on telly , didn't I ?
  2. MOTin a little while ?
    MOTwho's on telly today ?
    MOT*MOT: can you remember who's on telly ?
    MOTI said on Thursday somebody special's coming on telly , didn't I ?
    MOTyour favorite children's programme .
  3. MOTwho's on telly today ?
    MOTcan you remember who's on telly ?
    MOT*MOT: I said on Thursday somebody special's coming on telly , didn't I ?
    MOTyour favorite children's programme .
    MOTremember ?
  4. MOTyour favorite children's programme .
    MOTremember ?
    MOT*MOT: who's coming on telly later on ?
    MOTwho're you going to watch ?
    MOTPostman_Pat .

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. Nicole eng_british_Manchester_II2.58
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/nic24b.chaNicole 2;9.031,550442.58

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. telly4 · 100.0%