PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

3.68 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (417 utterances, 1,630 words searched).

  1. what about a piece of paper ? MOT · eng_british_Manchester_II/john25a.cha, line 253 · John 2;07
  2. your piece of paper's in here . MOT · eng_british_Manchester_II/john25a.cha, line 263 · John 2;07
  3. oh there's three of them , aren't there ? INV · eng_british_Manchester_II/john25a.cha, line 424 · John 2;07
  4. which one looks like a piece of cheese ? MOT · eng_british_Manchester_II/john25a.cha, line 804 · John 2;07
  5. how about making a car out of the chair ? MOT · eng_british_Manchester_II/john25a.cha, line 1011 · John 2;07
  6. oh let go of my nose Mister_wizard . MOT · eng_british_Manchester_II/john25a.cha, line 1285 · John 2;07
  1. eng_british_Manchester_II/john25a.cha, line 253 · John, 2;7.24
    MOTjust give it to me .
    MOTyou want to put it away .
    MOT*MOT: what about a piece of paper ?
    MOTJohn .
    CHIxxx .
  2. eng_british_Manchester_II/john25a.cha, line 263 · John, 2;7.24
    CHIput away .
    MOTJohn .
    MOT*MOT: your piece of paper's in here .
    CHImmhm .
    CHIoh yes .
  3. eng_british_Manchester_II/john25a.cha, line 424 · John, 2;7.24
    CHI<hasn't> [?] got one .
    INVno .
    INV*INV: oh there's three of them , aren't there ?
    INVplaying the violin .
    CHIxxx .
  4. eng_british_Manchester_II/john25a.cha, line 804 · John, 2;7.24
    MOTwhere are all the stickers then ?
    MOTcan you see a cheese sticker ?
    MOT*MOT: which one looks like a piece of cheese ?
    MOTvery good .
    MOTtake it off the page .
  5. eng_british_Manchester_II/john25a.cha, line 1011 · John, 2;7.24
    MOTare you thirsty ?
    CHIyeah .
    MOT*MOT: how about making a car out of the chair ?
    CHIyes .
    MOTyes .
  6. eng_british_Manchester_II/john25a.cha, line 1285 · John, 2;7.24
    CHIit's broken .
    CHImake another one .
    MOT*MOT: oh let go of my nose Mister_wizard .
    MOTwhere are you going to go with my nose , John ?
    MOTI might need it .

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. John eng_british_Manchester_II3.68
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/john25a.chaJohn 2;7.241,630663.68

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.

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