PHPCLANCHILDES with regular expressions

6 matches in 5 utterances

5.64 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (242 utterances, 1,063 words searched).

  1. she's in the kitchen love because she was just sort of a bit bouncy . MOT · eng_british_Manchester_II/liz16b.cha, line 153 · Liz 2;04
  2. she's in the kitchen love because she was just sort of a bit bouncy . MOT · eng_british_Manchester_II/liz16b.cha, line 153 · Liz 2;04
  3. she was bouncing all over Anna's head and everything . MOT · eng_british_Manchester_II/liz16b.cha, line 157 · Liz 2;04
  4. yeah she was . MOT · eng_british_Manchester_II/liz16b.cha, line 162 · Liz 2;04
  5. did she ? MOT · eng_british_Manchester_II/liz16b.cha, line 921 · Liz 2;04
  6. because if we leave it half done she's full of tats . MOT · eng_british_Manchester_II/liz16b.cha, line 977 · Liz 2;04
  1. eng_british_Manchester_II/liz16b.cha, line 153 · Liz, 2;4.10
    MOTyeah .
    CHIwhere's Lucky ?
    MOT*MOT: she's in the kitchen love because she was just sort of a bit bouncy .
    MOTshe was bouncing all over Anna's head and everything .
    CHIyeah .
  2. eng_british_Manchester_II/liz16b.cha, line 157 · Liz, 2;4.10
    CHIwhere's Lucky ?
    MOTshe's in the kitchen love because she was just sort of a bit bouncy .
    MOT*MOT: she was bouncing all over Anna's head and everything .
    CHIyeah .
    MOTyeah she was .
  3. eng_british_Manchester_II/liz16b.cha, line 162 · Liz, 2;4.10
    MOTshe was bouncing all over Anna's head and everything .
    CHIyeah .
    MOT*MOT: yeah she was .
    MOTgot a diary with a cat on free .
    CHIstone .
  4. eng_british_Manchester_II/liz16b.cha, line 921 · Liz, 2;4.10
    MOTI don't think Anna had a pan .
    CHIyeah .
    MOT*MOT: did she ?
    CHII get it .
    MOTno I think it's in here , Liz .
  5. eng_british_Manchester_II/liz16b.cha, line 977 · Liz, 2;4.10
    CHIwhat 0are [*] you doing ?
    MOTfinishing combing this dolly's hair .
    MOT*MOT: because if we leave it half done she's full of tats .
    MOTand that's no good , is it ?
    MOTgot your glasses on ?

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_II5.64
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/liz16b.chaLiz 2;4.101,063565.64

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. she6 · 100.0%