PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

6.44 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (280 utterances, 1,087 words searched).

  1. what are you saying ? MOT · eng_british_Manchester_II/liz22b.cha, line 78 · Liz 2;06
  2. shall we see what animals are in Anna's zoo ? MOT · eng_british_Manchester_II/liz22b.cha, line 80 · Liz 2;06
  3. we only have animals that are in danger in the wild at the moment . MOT · eng_british_Manchester_II/liz22b.cha, line 211 · Liz 2;06
  4. what are you cooking tonight then ? MOT · eng_british_Manchester_II/liz22b.cha, line 330 · Liz 2;06
  5. you're a bit drunk , are you ? INV · eng_british_Manchester_II/liz22b.cha, line 899 · Liz 2;06
  6. <are you being a pest> [= whispered] ? MOT · eng_british_Manchester_II/liz22b.cha, line 945 · Liz 2;06
  7. I think you are . MOT · eng_british_Manchester_II/liz22b.cha, line 949 · Liz 2;06
  1. CHII had ice+cream Mummy .
    MOTwhat darling ?
    MOT*MOT: what are you saying ?
    MOTshall we see what animals are in Anna's zoo ?
    MOTbecause we saw some animals at the zoo , didn't we ?
  2. MOTwhat darling ?
    MOTwhat are you saying ?
    MOT*MOT: shall we see what animals are in Anna's zoo ?
    MOTbecause we saw some animals at the zoo , didn't we ?
    CHII [/] I 0have [*] been to the zoo .
  3. CHIno we don't .
    MOTno .
    MOT*MOT: we only have animals that are in danger in the wild at the moment .
    MOTthey're not .
    MOTthere's loads of those in Africa .
  4. CHIhere's another lemon .
    MOToh: .
    MOT*MOT: what are you cooking tonight then ?
    CHIsome .
    CHIgot some lemon .
  5. CHIyeah .
    CHIa bit drunk .
    INV*INV: you're a bit drunk , are you ?
    INVokay .
    MOTright then .
  6. MOThere's some of the strawberry in it now .
    MOTdon't you want it now ?
    MOT*MOT: <are you being a pest> [= whispered] ?
    CHIno .
    MOTI think you are .
  7. MOT<are you being a pest> [= whispered] ?
    CHIno .
    MOT*MOT: I think you are .
    CHIno .
    MOTI think so .

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_II6.44
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/liz22b.chaLiz 2;6.121,087776.44

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. are7 · 100.0%