PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

3.93 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (392 utterances, 1,783 words searched).

  1. don't see many of those . MOT · eng_british_Manchester_II/warr13a.cha, line 241 · Warren 2;02
  2. can you put those away ? MOT · eng_british_Manchester_II/warr13a.cha, line 1033 · Warren 2;02
  3. can you turn those over so we can see the picture ? MOT · eng_british_Manchester_II/warr13a.cha, line 1055 · Warren 2;02
  4. just turn those two over then we can start matching things , can't we ? MOT · eng_british_Manchester_II/warr13a.cha, line 1068 · Warren 2;02
  5. what are those ? MOT · eng_british_Manchester_II/warr13a.cha, line 1319 · Warren 2;02
  6. what are those ? MOT · eng_british_Manchester_II/warr13a.cha, line 1323 · Warren 2;02
  7. who do those legs belong to ? MOT · eng_british_Manchester_II/warr13a.cha, line 1347 · Warren 2;02
  1. MOTit's round his neck yeah .
    MOTit's a bow tie .
    MOT*MOT: don't see many of those .
    CHIMummy read it .
    MOTWarren read it .
  2. MOTyou've chipped Henry's tender already .
    CHIput in houses .
    MOT*MOT: can you put those away ?
    MOTplease .
    MOTnow put the tunnel in very gently .
  3. MOTright .
    MOTfirst thing we need to do is to turn the pieces up so you can see the bits of picture on them .
    MOT*MOT: can you turn those over so we can see the picture ?
    MOTthat's it .
    MOTspread it out .
  4. MOTno .
    MOTit doesn't .
    MOT*MOT: just turn those two over then we can start matching things , can't we ?
    CHIoh there it is .
    CHIno .
  5. INVyeah but they're discarded in the corner .
    MOThave you discarded them ?
    MOT*MOT: what are those ?
    CHIfeet .
    MOTwhat are those ?
  6. MOTwhat are those ?
    CHIfeet .
    MOT*MOT: what are those ?
    CHItrousers .
    MOTwhat color ?
  7. MOTwhere's the rest of the man ?
    MOTwhere's the rest of the man ?
    MOT*MOT: who do those legs belong to ?
    CHIoh there is a man .
    CHIthere's a man .

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. Warren eng_british_Manchester_II3.93
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/warr13a.chaWarren 2;2.121,783773.93

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. those7 · 100.0%