PHPCLANCHILDES with regular expressions

11 matches in 10 utterances

7.33 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (294 utterances, 1,501 words searched).

  1. and then there's <a g@l for> [/] a g@l for Granddad . MOT · eng_british_Manchester_II/warr19b.cha, line 22 · Warren 2;04
  2. can you see a d@l for Daddy there ? MOT · eng_british_Manchester_II/warr19b.cha, line 53 · Warren 2;04
  3. there you go . MOT · eng_british_Manchester_II/warr19b.cha, line 102 · Warren 2;04
  4. how many trailers are there ? MOT · eng_british_Manchester_II/warr19b.cha, line 283 · Warren 2;04
  5. there's the big board . MOT · eng_british_Manchester_II/warr19b.cha, line 498 · Warren 2;04
  6. there's one cow . MOT · eng_british_Manchester_II/warr19b.cha, line 766 · Warren 2;04
  7. there's another cow . MOT · eng_british_Manchester_II/warr19b.cha, line 835 · Warren 2;04
  8. there . MOT · eng_british_Manchester_II/warr19b.cha, line 864 · Warren 2;04
  9. well you just sit there for a minute just in case . MOT · eng_british_Manchester_II/warr19b.cha, line 1068 · Warren 2;04
  10. I don't think there are candles in there my love . MOT · eng_british_Manchester_II/warr19b.cha, line 1133 · Warren 2;04
  11. I don't think there are candles in there my love . MOT · eng_british_Manchester_II/warr19b.cha, line 1133 · Warren 2;04
  1. MOTI don't think I know anybody whose name begins with l@l .
    CHIwhat's this ?
    MOT*MOT: and then there's <a g@l for> [/] a g@l for Granddad .
    CHIwhat's this ?
    MOTa o@l for orange .
  2. MOTlook on the rest of the box .
    MOTlook at this writing .
    MOT*MOT: can you see a d@l for Daddy there ?
    CHIthere .
    MOTno .
  3. MOTwell this dress undress at the back .
    CHItaking off the dress .
    MOT*MOT: there you go .
    MOTcan you take it off her now ?
    MOToh dear .
  4. CHIfind another trailer .
    CHIwhere's another trailer ?
    MOT*MOT: how many trailers are there ?
    CHII 0am [*] gonna [: going to] put some bricks on it .
    MOTyou can put whatever you like on it I guess .
  5. CHIwant to make a field , Mummy .
    MOTwell make a field then .
    MOT*MOT: there's the big board .
    MOTwho are you going to put in the field ?
    MOTare you going to put cows in ?
  6. CHIwhere 0are [*] the cows .
    MOTthey're in here .
    MOT*MOT: there's one cow .
    CHIsay moo@o .
    MOTshall we see if we can find some more cows ?
  7. MOThorns .
    MOTsome cows have horns as well .
    MOT*MOT: there's another cow .
    MOTit's a brown and white cow .
    MOToh here's a horse .
  8. MOToh they're all sleeping .
    MOTshall we tuck them up under a blanket ?
    MOT*MOT: there .
    CHIthere's a cow .
    MOTare they nice and warm ?
  9. MOTbecause we don't want anything terrible in your nice stripy pants , do we ?
    CHII don't want a poo .
    MOT*MOT: well you just sit there for a minute just in case .
    MOTjust in case some comes creeping out .
    CHIgot ears like Warren .
  10. CHIxxx candle .
    MOTno .
    MOT*MOT: I don't think there are candles in there my love .
    MOTI was saying sandal .
    CHIsandal .

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. Warren eng_british_Manchester_II7.33
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/warr19b.chaWarren 2;4.131,50110117.33

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. there11 · 100.0%