PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

4.99 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (366 utterances, 1,402 words searched).

  1. oh dear . MOT · eng_british_Manchester_II/liz20a.cha, line 177 · Liz 2;05
  2. oh dear . MOT · eng_british_Manchester_II/liz20a.cha, line 256 · Liz 2;05
  3. oh dear . MOT · eng_british_Manchester_II/liz20a.cha, line 364 · Liz 2;05
  4. oh dear . MOT · eng_british_Manchester_II/liz20a.cha, line 368 · Liz 2;05
  5. oh dear . MOT · eng_british_Manchester_II/liz20a.cha, line 646 · Liz 2;05
  6. oh dear . MOT · eng_british_Manchester_II/liz20a.cha, line 983 · Liz 2;05
  7. oh dear . MOT · eng_british_Manchester_II/liz20a.cha, line 1015 · Liz 2;05
  1. eng_british_Manchester_II/liz20a.cha, line 177 · Liz, 2;5.22
    CHIbig that long one .
    MOToh: .
    MOT*MOT: oh dear .
    MOTthere we go .
    CHInot big one .
  2. eng_british_Manchester_II/liz20a.cha, line 256 · Liz, 2;5.22
    MOTit's nearly as big as you , isn't it ?
    MOToh: .
    MOT*MOT: oh dear .
    CHIshall we build it ?
    CHIshall we build it ?
  3. eng_british_Manchester_II/liz20a.cha, line 364 · Liz, 2;5.22
    MOTthat's right .
    MOTwhoops .
    MOT*MOT: oh dear .
    CHIoh dear .
    MOToh dear .
  4. eng_british_Manchester_II/liz20a.cha, line 368 · Liz, 2;5.22
    MOToh dear .
    CHIoh dear .
    MOT*MOT: oh dear .
    MOThave you had enough ?
    CHImy animals .
  5. eng_british_Manchester_II/liz20a.cha, line 646 · Liz, 2;5.22
    CHIshall we need [*] the light on ?
    MOTshall we what ?
    MOT*MOT: oh dear .
    MOTwhoops .
    MOToh thank you .
  6. eng_british_Manchester_II/liz20a.cha, line 983 · Liz, 2;5.22
    CHII 0have [*] gone .
    MOToh you've gone ?
    MOT*MOT: oh dear .
    MOTyou didn't even say tata .
    MOTthat whole curtain's gonna [: going to] come down , Liz .
  7. eng_british_Manchester_II/liz20a.cha, line 1015 · Liz, 2;5.22
    MOTcan't you ?
    CHIno .
    MOT*MOT: oh dear .
    MOTwill you be comfy there for the rest of the day then ?
    MOTeh ?

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. Liz eng_british_Manchester_II4.99
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/liz20a.chaLiz 2;5.221,402774.99

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. dear7 · 100.0%