PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

5.07 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (294 utterances, 1,184 words searched).

  1. I don't think Why_Bird's in this book , is he ? MOT · eng_british_Manchester_II/liz32a.cha, line 98 · Liz 2;09
  2. I think they've got chicken+pox . MOT · eng_british_Manchester_II/liz32a.cha, line 317 · Liz 2;09
  3. I think it's a [/] a train ticket . INV · eng_british_Manchester_II/liz32a.cha, line 521 · Liz 2;09
  4. I think we need some more really . MOT · eng_british_Manchester_II/liz32a.cha, line 611 · Liz 2;09
  5. we've got lots of plastic bags but I don't think we need them really . MOT · eng_british_Manchester_II/liz32a.cha, line 752 · Liz 2;09
  6. do you think you could heat it up a bit more for me ? MOT · eng_british_Manchester_II/liz32a.cha, line 875 · Liz 2;09
  1. MOTWhy_Bird ?
    CHIyeah .
    MOT*MOT: I don't think Why_Bird's in this book , is he ?
    MOTI've never seen him .
    CHIthere's a Why_Bird here .
  2. MOTcan you see the spots ?
    CHIno .
    MOT*MOT: I think they've got chicken+pox .
    MOTslow days .
    MOTquick days .
  3. CHIa credit card .
    INVa credit card .
    INV*INV: I think it's a [/] a train ticket .
    CHIa train ticket .
    CHII will put it there for later .
  4. MOTgo ahead then .
    MOTdo you want to bring that here while I you know squeeze it all together because it's all in bits , isn't it ?
    MOT*MOT: I think we need some more really .
    MOTit's getting very dry .
    MOTI'll squeeze it all together because it's [/] it's too dry to mess with , isn't it ?
  5. MOTwhat for love ?
    CHIwe 0have [*] got one , haven't we ?
    MOT*MOT: we've got lots of plastic bags but I don't think we need them really .
    CHI<but we need> [/] but we need one .
    MOTdo we ?
  6. MOTnot hot .
    MOTwell I like my tea hot .
    MOT*MOT: do you think you could heat it up a bit more for me ?
    MOTin the microwave .
    MOTI like my tea very hot .

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. Liz eng_british_Manchester_II5.07
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/liz32a.chaLiz 2;9.251,184665.07

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. think6 · 100.0%