PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

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

  1. what's going on on the bad days ? MOT · eng_british_Manchester_II/liz32a.cha, line 132 · Liz 2;09
  2. and what's happening here ? MOT · eng_british_Manchester_II/liz32a.cha, line 149 · Liz 2;09
  3. and what's happening in this picture ? MOT · eng_british_Manchester_II/liz32a.cha, line 162 · Liz 2;09
  4. and what's happened is that the hamster has died . MOT · eng_british_Manchester_II/liz32a.cha, line 172 · Liz 2;09
  5. what [/] what's he doing there ? MOT · eng_british_Manchester_II/liz32a.cha, line 253 · Liz 2;09
  6. what's that ? MOT · eng_british_Manchester_II/liz32a.cha, line 294 · Liz 2;09
  7. what's that ? INV · eng_british_Manchester_II/liz32a.cha, line 949 · Liz 2;09
  1. MOTbad days .
    MOToh dear .
    MOT*MOT: what's going on on the bad days ?
    CHIpulling .
    MOTyes .
  2. MOTshe is .
    MOTthat means she doesn't like it , doesn't it ?
    MOT*MOT: and what's happening here ?
    MOTthey're pouring water all over the floor , aren't they ?
    MOToh dear .
  3. CHIoh dear .
    MOTwww .
    MOT*MOT: and what's happening in this picture ?
    CHIthey 0are [*] all looking sad .
    CHIxxx .
  4. CHIxxx .
    MOTthat's right .
    MOT*MOT: and what's happened is that the hamster has died .
    MOTso they've had to bury it in the garden and they're a bit sad .
    MOTbut hamsters do that .
  5. MOTspots of snow , aren't they ?
    MOTsnowy days .
    MOT*MOT: what [/] what's he doing there ?
    CHIsledging .
    MOTyeah .
  6. MOTlooks very windy there , doesn't it ?
    MOThealthy days .
    MOT*MOT: what's that ?
    CHIsea .
    MOTyeah .
  7. INVoh yes please .
    INVthank you .
    INV*INV: what's that ?
    CHIer a cup of coffee .
    INVa cup of coffee .

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_II5.91
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/liz32a.chaLiz 2;9.251,184775.91

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. what's7 · 100.0%