PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

3.27 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (458 utterances, 1,837 words searched).

  1. does she want anything else on ? MOT · eng_british_Manchester_I/anne33b.cha, line 90 · Anne 2;09
  2. what else is he doing ? MOT · eng_british_Manchester_I/anne33b.cha, line 1360 · Anne 2;09
  3. and who else is there with all the snowmen . MOT · eng_british_Manchester_I/anne33b.cha, line 1440 · Anne 2;09
  4. who else is there ? MOT · eng_british_Manchester_I/anne33b.cha, line 1451 · Anne 2;09
  5. we're not having anything else at the moment . MOT · eng_british_Manchester_I/anne33b.cha, line 1459 · Anne 2;09
  6. who else was there with all the snowmen ? MOT · eng_british_Manchester_I/anne33b.cha, line 1462 · Anne 2;09
  1. eng_british_Manchester_I/anne33b.cha, line 90 · Anne, 2;9.08
    MOTthere we are .
    MOTokay .
    MOT*MOT: does she want anything else on ?
    CHIum her pretty dress on .
    MOTher pretty dress on .
  2. eng_british_Manchester_I/anne33b.cha, line 1360 · Anne, 2;9.08
    CHImmhm .
    MOTthat doesn't look very good .
    MOT*MOT: what else is he doing ?
    CHIstroking the cat .
    MOTstroking the cat .
  3. eng_british_Manchester_I/anne33b.cha, line 1440 · Anne, 2;9.08
    MOTwhat are all +/.
    CHIbit hungry .
    MOT*MOT: and who else is there with all the snowmen .
    CHII'm a bit hungry .
    MOTwell .
  4. eng_british_Manchester_I/anne33b.cha, line 1451 · Anne, 2;9.08
    MOTwell .
    MOTlater on we'll have some tea .
    MOT*MOT: who else is there ?
    CHIum I don't want tea .
    CHII'm having a +...
  5. eng_british_Manchester_I/anne33b.cha, line 1459 · Anne, 2;9.08
    CHII'm having a +...
    MOTno .
    MOT*MOT: we're not having anything else at the moment .
    MOTwho else was there with all the snowmen ?
    MOToh .
  6. eng_british_Manchester_I/anne33b.cha, line 1462 · Anne, 2;9.08
    MOTno .
    MOTwe're not having anything else at the moment .
    MOT*MOT: who else was there with all the snowmen ?
    MOToh .
    MOTfather +//.

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. Anne eng_british_Manchester_I3.27
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/anne33b.chaAnne 2;9.081,837663.27

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. else6 · 100.0%