PHPCLANCHILDES with regular expressions

8 matches in 8 utterances

5.23 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (373 utterances, 1,530 words searched).

  1. nineteen , are there ? INV · eng_british_Manchester_II/john29a.cha, line 285 · John 2;09
  2. is there any more coloring to do ? MOT · eng_british_Manchester_II/john29a.cha, line 449 · John 2;09
  3. there is one . MOT · eng_british_Manchester_II/john29a.cha, line 457 · John 2;09
  4. I think you might be right there . MOT · eng_british_Manchester_II/john29a.cha, line 487 · John 2;09
  5. and there are lots of number tens that you've not done either . MOT · eng_british_Manchester_II/john29a.cha, line 499 · John 2;09
  6. there was a lot of rain that day . MOT · eng_british_Manchester_II/john29a.cha, line 545 · John 2;09
  7. how many raindrops are there on the page ? MOT · eng_british_Manchester_II/john29a.cha, line 733 · John 2;09
  8. are you there ? MOT · eng_british_Manchester_II/john29a.cha, line 1007 · John 2;09
  1. INVI can see that .
    CHIone two three four five six seven eight nine ten eleven twelve fourteen sixteen seventeen sixteen seventeen nineteen .
    INV*INV: nineteen , are there ?
    MOTwow .
    MOTthat's a lot .
  2. MOTthey're tiny finger nails , aren't they , John ?
    MOTtiny [/] tiny .
    MOT*MOT: is there any more coloring to do ?
    MOTgently [/] gently .
    MOToh John .
  3. MOToh John .
    MOTlook .
    MOT*MOT: there is one .
    MOTa Christmas tree decoration , look .
    MOTthis one here .
  4. CHIa car .
    MOTyes .
    MOT*MOT: I think you might be right there .
    CHIis a bird .
    MOTis a what ?
  5. MOTyeah .
    MOTI think it's a car .
    MOT*MOT: and there are lots of number tens that you've not done either .
    MOTshall we draw some of those ?
    MOTyou can color them in , can't you ?
  6. MOTand we got a lift home in the car , didn't we ?
    MOTthe pram wouldn't fit in .
    MOT*MOT: there was a lot of rain that day .
    CHIall this rain .
    MOTthat's right .
  7. MOTlet's count the raindrops , shall we ?
    MOTJohn .
    MOT*MOT: how many raindrops are there on the page ?
    CHII 0am [*] doing this one .
    MOTmmhm .
  8. MOTJohn .
    MOTJohn .
    MOT*MOT: are you there ?
    INVwww .
    MOTJohn .

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_II5.23
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/john29a.chaJohn 2;9.051,530885.23

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. there8 · 100.0%