PHPCLANCHILDES with regular expressions

9 matches in 9 utterances

7.39 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (316 utterances, 1,218 words searched).

  1. it's the only thing you've got to play with . MOT · eng_british_Manchester_II/john32a.cha, line 277 · John 2;10
  2. you've finished . MOT · eng_british_Manchester_II/john32a.cha, line 384 · John 2;10
  3. you've done very well , John . MOT · eng_british_Manchester_II/john32a.cha, line 398 · John 2;10
  4. you've colored most of that in . MOT · eng_british_Manchester_II/john32a.cha, line 400 · John 2;10
  5. you've not done much of this motor+car . MOT · eng_british_Manchester_II/john32a.cha, line 604 · John 2;10
  6. oh you've got lots to do . MOT · eng_british_Manchester_II/john32a.cha, line 640 · John 2;10
  7. you've got so many greens . MOT · eng_british_Manchester_II/john32a.cha, line 731 · John 2;10
  8. put the ones you've done over there . MOT · eng_british_Manchester_II/john32a.cha, line 799 · John 2;10
  9. now you've got two to color in . MOT · eng_british_Manchester_II/john32a.cha, line 1057 · John 2;10
  1. INVyes .
    INVthat's a sheep .
    MOT*MOT: it's the only thing you've got to play with .
    INVit's sad , isn't it ?
    CHIxxx .
  2. MOTxxx .
    MOTgreat .
    MOT*MOT: you've finished .
    MOTthat's a very good lorry .
    MOTyes .
  3. MOTyeah .
    MOTnice and neat that .
    MOT*MOT: you've done very well , John .
    MOTyou've colored most of that in .
    MOTdid Nicole help you at all ?
  4. MOTnice and neat that .
    MOTyou've done very well , John .
    MOT*MOT: you've colored most of that in .
    MOTdid Nicole help you at all ?
    CHIno .
  5. CHIwhere 0are [*] the baked beans ?
    MOToh John .
    MOT*MOT: you've not done much of this motor+car .
    MOTit's like a very old Bentley or +//.
    MOTI don't know .
  6. MOTyes .
    CHIlook .
    MOT*MOT: oh you've got lots to do .
    MOTlook at all these .
    CHIpink .
  7. CHII 0am [*] going to go in the trees .
    MOTmaybe a green for the tree .
    MOT*MOT: you've got so many greens .
    MOTwe tested them all , didn't we ?
    MOTyou had about five or six different greens .
  8. MOTand the yellow .
    MOTthat needs sharpening too .
    MOT*MOT: put the ones you've done over there .
    MOTokay .
    MOTthere's just those to sharpen , John .
  9. MOTthere we are .
    MOTa picture of a cow .
    MOT*MOT: now you've got two to color in .
    CHI<and now we try> [/] and now we try this .
    MOTwell why don't you try it now ?

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_II7.39
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/john32a.chaJohn 2;10.091,218997.39

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. you've9 · 100.0%