PHPCLANCHILDES with regular expressions

9 matches in 9 utterances

4.46 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (533 utterances, 2,018 words searched).

  1. who's crying ? FAT · eng_USA_Brown/eve06.cha, line 529 · Eve 1;09
  2. who's coming ? FAT · eng_USA_Brown/eve06.cha, line 1399 · Eve 1;09
  3. who else ? FAT · eng_USA_Brown/eve06.cha, line 1406 · Eve 1;09
  4. who else is sitting down ? MOT · eng_USA_Brown/eve06.cha, line 2900 · Eve 1;09
  5. who else ? MOT · eng_USA_Brown/eve06.cha, line 2910 · Eve 1;09
  6. who else ? MOT · eng_USA_Brown/eve06.cha, line 2917 · Eve 1;09
  7. who else ? FAT · eng_USA_Brown/eve06.cha, line 2927 · Eve 1;09
  8. who else ? FAT · eng_USA_Brown/eve06.cha, line 2934 · Eve 1;09
  9. who else ? FAT · eng_USA_Brown/eve06.cha, line 2941 · Eve 1;09
  1. COLwhat ?
    CHIwriting .
    FAT*FAT: who's crying ?
    CHIbaby Sarah .
    MOTyes # I think baby Sarah's diaper [//] put a dry diaper on baby Sarah's bottom .
  2. CHIdo it again .
    CHImove here .
    FAT*FAT: who's coming ?
    CHIMama .
    FATwho else ?
  3. FATwho's coming ?
    CHIMama .
    FAT*FAT: who else ?
    CHIbaby Sarah .
    MOTwould you like to have your lunch ?
  4. CHIFraser sit down .
    MOTyes # Fraser's sitting down .
    MOT*MOT: who else is sitting down ?
    CHIPapa .
    MOTyes .
  5. CHIPapa .
    MOTyes .
    MOT*MOT: who else ?
    CHIEve .
    MOTwho else ?
  6. MOTwho else ?
    CHIEve .
    MOT*MOT: who else ?
    CHIMommy .
    FATyeah .
  7. CHIMommy .
    FATyeah .
    FAT*FAT: who else ?
    CHIFraser there .
    FATwho else ?
  8. FATwho else ?
    CHIFraser there .
    FAT*FAT: who else ?
    CHIEve .
    FATwho else ?
  9. FATwho else ?
    CHIEve .
    FAT*FAT: who else ?
    CHIFraser .
    FATis horsie sitting down ?

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. Eve eng_USA_Brown4.46
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/eve06.chaEve 1;9.2,018994.46

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. who9 · 100.0%