PHPCLANCHILDES with regular expressions

10 matches in 10 utterances

19.34 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (227 utterances, 517 words searched).

  1. chutchu@o [= bird] wa ? %mov:"10008"_47418_49352 FAT · japanese_ishii/10008.cha, line 30 · Jun 1;00
  2. chutchu@o wa ? %mov:"10008"_49352_52634 FAT · japanese_ishii/10008.cha, line 32 · Jun 1;00
  3. sotchi (wa) achiachi@o [: atsuiatrsui] . %mov:"10008"_65291_66177 FAT · japanese_ishii/10008.cha, line 42 · Jun 1;00
  4. uuuuuu@o (wa) doko itta ? %mov:"10008"_491194_496998 FAT · japanese_ishii/10008.cha, line 269 · Jun 1;00
  5. wanwan@o wa ? %mov:"10008"_511800_513820 FAT · japanese_ishii/10008.cha, line 281 · Jun 1;00
  6. un, wanwan@o (wa) inai ka mite . %mov:"10008"_717431_719620 FAT · japanese_ishii/10008.cha, line 372 · Jun 1;00
  7. aru ka,, kurukuru@o (wa) . %mov:"10008"_762234_763345 FAT · japanese_ishii/10008.cha, line 401 · Jun 1;00
  8. kuku@o [: kurukuru] (wa) mieru ? %mov:"10008"_763345_767021 FAT · japanese_ishii/10008.cha, line 402 · Jun 1;00
  9. buu@o wa, Junkun . %mov:"10008"_798017_799905 FAT · japanese_ishii/10008.cha, line 421 · Jun 1;00
  10. bu@o wa ? %mov:"10008"_812923_816531 FAT · japanese_ishii/10008.cha, line 433 · Jun 1;00
  1. FATo . %mov:"10008"_25091_25844
    CHIa ? %mov:"10008"_25844_25844
    FAT*FAT: chutchu@o [= bird] wa ? %mov:"10008"_47418_49352
    FATchutchu@o wa ? %mov:"10008"_49352_52634
    FATchutchu@o iru ? %mov:"10008"_52634_53785
  2. CHIa ? %mov:"10008"_25844_25844
    FATchutchu@o [= bird] wa ? %mov:"10008"_47418_49352
    FAT*FAT: chutchu@o wa ? %mov:"10008"_49352_52634
    FATchutchu@o iru ? %mov:"10008"_52634_53785
    FATchutchu@o doko ni iru ? %mov:"10008"_53785_56318
  3. FATwanwan@o doko itta ka naa ? %mov:"10008"_61027_63486
    CHIu ? %mov:"10008"_63486_65291
    FAT*FAT: sotchi (wa) achiachi@o [: atsuiatrsui] . %mov:"10008"_65291_66177
    FATachichii ! %mov:"10008"_66177_66177
    FATachichii ! %mov:"10008"_67111_69515
  4. FATuun ? %mov:"10008"_487393_488157
    FATuuuuuu@o yuuteru [: itte+iru] ka ? %mov:"10008"_488157_491194
    FAT*FAT: uuuuuu@o (wa) doko itta ? %mov:"10008"_491194_496998
    FATattattaa [: atta+atta] . %mov:"10008"_496998_498402
    FATattattaa [: atta+atta] . %mov:"10008"_498402_502987
  5. FATwanwan@o (o) motte kite . %mov:"10008"_508191_509696
    FATwanwan@o (o) motte kite kudasaai .%mov:"10008"_509696_511800
    FAT*FAT: wanwan@o wa ? %mov:"10008"_511800_513820
    CHIaa aa . %mov:"10008"_513820_528257
    CHIaa aa . %mov:"10008"_528257_532070
  6. FATshindoi [: tsukareta] no . %mov:"10008"_713437_716322
    FATshindoi [: tsukareta] no . %mov:"10008"_716322_717431
    FAT*FAT: un, wanwan@o (wa) inai ka mite . %mov:"10008"_717431_719620
    FATun ? %mov:"10008"_719620_721496
    FATwanwan@o [>] . %mov:"10008"_721496_725855
  7. FATun ? %mov:"10008"_757314_760275
    FATkukuu@o [: kurukuru] doko ka na ? %mov:"10008"_760275_762234
    FAT*FAT: aru ka,, kurukuru@o (wa) . %mov:"10008"_762234_763345
    FATkuku@o [: kurukuru] (wa) mieru ? %mov:"10008"_763345_767021
    CHIajuujijijudturye . %mov:"10008"_767021_772650
  8. FATkukuu@o [: kurukuru] doko ka na ? %mov:"10008"_760275_762234
    FATaru ka,, kurukuru@o (wa) . %mov:"10008"_762234_763345
    FAT*FAT: kuku@o [: kurukuru] (wa) mieru ? %mov:"10008"_763345_767021
    CHIajuujijijudturye . %mov:"10008"_767021_772650
    FATun ? %mov:"10008"_772650_773500
  9. CHIao . %mov:"10008"_796331_797522
    FATun . %mov:"10008"_797522_798017
    FAT*FAT: buu@o wa, Junkun . %mov:"10008"_798017_799905
    CHIo . %mov:"10008"_799905_800742
    CHIaa aa . %mov:"10008"_800742_802468
  10. FAT<mokkai [: mou ichido]> [<], buu . %mov:"10008"_807778_809232
    FATa, bambambamban@o shiten [: shiteru] naa . %mov:"10008"_809232_812923
    FAT*FAT: bu@o wa ? %mov:"10008"_812923_816531
    CHIaa . %mov:"10008"_816531_818882
    FATnani ga . %mov:"10008"_818882_822662

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. Jun japanese_ishii19.34
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/10008.chaJun 1;0.08517101019.34

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. wa10 · 100.0%