PHPCLANCHILDES with regular expressions

7 matches in 6 utterances

8.37 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (224 utterances, 836 words searched).

  1. oh she's asleep , isn't she ? MOT · eng_british_Manchester_II/liz32b.cha, line 402 · Liz 2;09
  2. she's nice and quiet while she's asleep . MOT · eng_british_Manchester_II/liz32b.cha, line 404 · Liz 2;09
  3. she's nice and quiet while she's asleep . MOT · eng_british_Manchester_II/liz32b.cha, line 404 · Liz 2;09
  4. she's gone to sleep . MOT · eng_british_Manchester_II/liz32b.cha, line 484 · Liz 2;09
  5. well we'll have to take the blouse off if she's gonna [: going to] have the dress on , won't [: willn't] we because t… MOT · eng_british_Manchester_II/liz32b.cha, line 630 · Liz 2;09
  6. I wonder if she's going to a party . MOT · eng_british_Manchester_II/liz32b.cha, line 653 · Liz 2;09
  7. she's gone to sleep again . MOT · eng_british_Manchester_II/liz32b.cha, line 748 · Liz 2;09
  1. MOToh is this a baby for me ?
    MOTthank you .
    MOT*MOT: oh she's asleep , isn't she ?
    MOTshe's nice and quiet while she's asleep .
    CHIyeah .
  2. MOTthank you .
    MOToh she's asleep , isn't she ?
    MOT*MOT: she's nice and quiet while she's asleep .
    CHIyeah .
    MOTyeah .
  3. MOTthere .
    CHIshe's gone to sleep .
    MOT*MOT: she's gone to sleep .
    MOTthat's good .
    MOTthat's how I like them .
  4. CHIdress .
    MOTokay .
    MOT*MOT: well we'll have to take the blouse off if she's gonna [: going to] have the dress on , won't [: willn't] we because that's already got arms in .
    MOTyeah ?
    MOTis that all right ?
  5. MOTsilly Mummy .
    MOTthis is a fancy dress .
    MOT*MOT: I wonder if she's going to a party .
    MOTis she going to a party ?
    CHIno .
  6. MOTthank you .
    MOToh .
    MOT*MOT: she's gone to sleep again .
    MOTthere .
    CHIxxx .

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_II8.37
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/liz32b.chaLiz 2;9.25836678.37

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. she's7 · 100.0%