PHPCLANCHILDES with regular expressions

8 matches in 8 utterances

6.27 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (343 utterances, 1,276 words searched).

  1. it's different colors , isn't it ? MOT · eng_british_Manchester_I/becky28b.cha, line 813 · Becky 2;09
  2. isn't it ? INV · eng_british_Manchester_I/becky28b.cha, line 862 · Becky 2;09
  3. it's a silly name though , isn't it ? MOT · eng_british_Manchester_I/becky28b.cha, line 881 · Becky 2;09
  4. that's chocolate , isn't it ? MOT · eng_british_Manchester_I/becky28b.cha, line 1186 · Becky 2;09
  5. he is , isn't he ? MOT · eng_british_Manchester_I/becky28b.cha, line 1240 · Becky 2;09
  6. he isn't now . INV · eng_british_Manchester_I/becky28b.cha, line 1256 · Becky 2;09
  7. I think all your tea's gone , isn't it ? MOT · eng_british_Manchester_I/becky28b.cha, line 1281 · Becky 2;09
  8. wobbly , isn't it ? MOT · eng_british_Manchester_I/becky28b.cha, line 1561 · Becky 2;09
  1. CHIdid somebody break it ?
    INVno .
    MOT*MOT: it's different colors , isn't it ?
    MOTI don't think they belong together .
    CHIwhat ?
  2. INVhot+dog .
    CHInot a hot+dog .
    INV*INV: isn't it ?
    CHIno .
    INVoh right .
  3. MOTyou can call it a hot+dog if it's a sausage in a bread roll .
    MOTthat's just the name for it .
    MOT*MOT: it's a silly name though , isn't it ?
    CHIxxx .
    MOTmmhm .
  4. MOToh .
    MOTI know what that is .
    MOT*MOT: that's chocolate , isn't it ?
    MOTthere you are .
    MOTcup of tea and a biscuit .
  5. INVthink [//] think he's in the wrong way round .
    MOToh yes .
    MOT*MOT: he is , isn't he ?
    MOTturn it round .
    MOTthat's it .
  6. CHIhe isn't .
    INVno no .
    INV*INV: he isn't now .
    INVno .
    CHIxxx .
  7. MOTI think you've drunk [/] drunk it all though , haven't you ?
    CHIwhat ?
    MOT*MOT: I think all your tea's gone , isn't it ?
    CHIyes .
    CHIxxx .
  8. MOTthere .
    CHIwhat have they got ?
    MOT*MOT: wobbly , isn't it ?
    CHIwhat is it ?
    MOTwhat is it ?

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. Becky eng_british_Manchester_I6.27
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/becky28b.chaBecky 2;9.131,276886.27

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. isn't8 · 100.0%