PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

5.39 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (295 utterances, 1,299 words searched).

  1. these are the same , John . MOT · eng_british_Manchester_II/john11a.cha, line 381 · John 2;02
  2. is this one the same ? MOT · eng_british_Manchester_II/john11a.cha, line 387 · John 2;02
  3. they all look the same . MOT · eng_british_Manchester_II/john11a.cha, line 798 · John 2;02
  4. they're all the same color . MOT · eng_british_Manchester_II/john11a.cha, line 800 · John 2;02
  5. they are the same . MOT · eng_british_Manchester_II/john11a.cha, line 810 · John 2;02
  6. these are similar but they're not the same . MOT · eng_british_Manchester_II/john11a.cha, line 822 · John 2;02
  7. is that the same place ? MOT · eng_british_Manchester_II/john11a.cha, line 908 · John 2;02
  1. MOTthese .
    CHIxxx there .
    MOT*MOT: these are the same , John .
    CHIuhoh .
    MOTthese are the circles .
  2. CHIuhoh .
    MOTthese are the circles .
    MOT*MOT: is this one the same ?
    CHIyes .
    MOTyes .
  3. MOTlet me show you something .
    MOTif you turn these upside down , look .
    MOT*MOT: they all look the same .
    MOTthey're all the same color .
    MOTwhat color are they now ?
  4. MOTif you turn these upside down , look .
    MOTthey all look the same .
    MOT*MOT: they're all the same color .
    MOTwhat color are they now ?
    MOTwhat color is this ?
  5. CHIsnap .
    MOTyes good snap .
    MOT*MOT: they are the same .
    MOTvery good .
    MOTthey're all grey and they're all circles .
  6. MOTbut if you turn the upside down they're all different .
    MOTthat's funny , isn't it ?
    MOT*MOT: these are similar but they're not the same .
    MOTthey're still different .
    CHIred .
  7. MOTis that the bit from yesterday ?
    MOTyou had a bit of a bump , didn't you on your teeth ?
    MOT*MOT: is that the same place ?
    MOTlet me have a look .
    MOTlet me have a look at your teeth .

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_II5.39
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/john11a.chaJohn 2;2.281,299775.39

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. same7 · 100.0%