PHPCLANCHILDES with regular expressions

9 matches in 9 utterances

4.90 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (515 utterances, 1,835 words searched).

  1. there's your green paint then . MOT · eng_british_Manchester_II/ruth15a.cha, line 472 · Ruth 2;04
  2. there's plenty green paint in there . MOT · eng_british_Manchester_II/ruth15a.cha, line 483 · Ruth 2;04
  3. that's green . MOT · eng_british_Manchester_II/ruth15a.cha, line 535 · Ruth 2;04
  4. we've got green . MOT · eng_british_Manchester_II/ruth15a.cha, line 537 · Ruth 2;04
  5. what happens if we mix up green and red ? MOT · eng_british_Manchester_II/ruth15a.cha, line 567 · Ruth 2;04
  6. green's well filled . MOT · eng_british_Manchester_II/ruth15a.cha, line 628 · Ruth 2;04
  7. was it red and green again ? MOT · eng_british_Manchester_II/ruth15a.cha, line 831 · Ruth 2;04
  8. frogs are all green mostly . MOT · eng_british_Manchester_II/ruth15a.cha, line 1367 · Ruth 2;04
  9. are froggies green ? MOT · eng_british_Manchester_II/ruth15a.cha, line 1371 · Ruth 2;04
  1. eng_british_Manchester_II/ruth15a.cha, line 472 · Ruth, 2;4.08
    CHIMama ada@c [= all gone] .
    MOTokay .
    MOT*MOT: there's your green paint then .
    MOTgo on then .
    MOTno .
  2. eng_british_Manchester_II/ruth15a.cha, line 483 · Ruth, 2;4.08
    MOTthere you go .
    MOTnow <you can> [/] you can do this one now .
    MOT*MOT: there's plenty green paint in there .
    MOToh that's good .
    MOTwhat're you drawing now ?
  3. eng_british_Manchester_II/ruth15a.cha, line 535 · Ruth, 2;4.08
    MOTI should know this .
    CHIon there .
    MOT*MOT: that's green .
    MOTwe've got green .
    MOTwe don't want that .
  4. eng_british_Manchester_II/ruth15a.cha, line 537 · Ruth, 2;4.08
    CHIon there .
    MOTthat's green .
    MOT*MOT: we've got green .
    MOTwe don't want that .
    MOTer +...
  5. eng_british_Manchester_II/ruth15a.cha, line 567 · Ruth, 2;4.08
    MOTlook at that .
    MOTthere .
    MOT*MOT: what happens if we mix up green and red ?
    MOTlet's have a look and see what color we get .
    MOTokay ?
  6. eng_british_Manchester_II/ruth15a.cha, line 628 · Ruth, 2;4.08
    MOTno .
    MOTI think blue's well filled .
    MOT*MOT: green's well filled .
    MOTred's well filled .
    MOTyeah .
  7. eng_british_Manchester_II/ruth15a.cha, line 831 · Ruth, 2;4.08
    MOTshall we get some of that nice brown back again ?
    MOThow do we get the brown ?
    MOT*MOT: was it red and green again ?
    MOTlet's do some red here .
    MOTokay .
  8. eng_british_Manchester_II/ruth15a.cha, line 1367 · Ruth, 2;4.08
    MOTwell mostly .
    MOTwww .
    MOT*MOT: frogs are all green mostly .
    CHIhuh ?
    MOTare froggies green ?
  9. eng_british_Manchester_II/ruth15a.cha, line 1371 · Ruth, 2;4.08
    MOTfrogs are all green mostly .
    CHIhuh ?
    MOT*MOT: are froggies green ?
    MOTmostly yeah .
    MOTwww .

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. Ruth eng_british_Manchester_II4.90
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/ruth15a.chaRuth 2;4.081,835994.90

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. green9 · 100.0%