PHPCLANCHILDES with regular expressions

16 matches in 16 utterances

8.99 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (720 utterances, 1,780 words searched).

  1. dore yo [<] . %mov:"30112"_26960_28269 FAT · japanese_ishii/30112.cha, line 24 · Jun 3;01
  2. dore ga akachan . %mov:"30112"_764027_765377 FAT · japanese_ishii/30112.cha, line 434 · Jun 3;01
  3. dore ga . %mov:"30112"_925883_926891 FAT · japanese_ishii/30112.cha, line 516 · Jun 3;01
  4. dore yaro . %mov:"30112"_1033176_1033829 FAT · japanese_ishii/30112.cha, line 564 · Jun 3;01
  5. dore ga tekkyoo ya . %mov:"30112"_1096563_1097434 FAT · japanese_ishii/30112.cha, line 582 · Jun 3;01
  6. dore ga Supein [>] . %mov:"30112"_1128673_1130007 FAT · japanese_ishii/30112.cha, line 609 · Jun 3;01
  7. dore ga Supein . %mov:"30112"_1130007_1130867 FAT · japanese_ishii/30112.cha, line 611 · Jun 3;01
  8. dore ga Hankyuu ya . %mov:"30112"_1169277_1170540 FAT · japanese_ishii/30112.cha, line 636 · Jun 3;01
  9. Seebu wa dore yatta ? %mov:"30112"_1318065_1319917 FAT · japanese_ishii/30112.cha, line 755 · Jun 3;01
  10. Nishitetsu wa dore ya . %mov:"30112"_1322153_1323001 FAT · japanese_ishii/30112.cha, line 759 · Jun 3;01
  11. dore ? %mov:"30112"_1344565_1345088 FAT · japanese_ishii/30112.cha, line 773 · Jun 3;01
  12. Amerika no densha dore yatta ? %mov:"30112"_1752899_1754897 FAT · japanese_ishii/30112.cha, line 1078 · Jun 3;01
  13. dore ya,, Amerika . %mov:"30112"_1764580_1765260 FAT · japanese_ishii/30112.cha, line 1085 · Jun 3;01
  14. Fuji tte dore ya . %mov:"30112"_2326659_2334653 FAT · japanese_ishii/30112.cha, line 1472 · Jun 3;01
  15. dore ga Fuji ya . %mov:"30112"_2352118_2352806 FAT · japanese_ishii/30112.cha, line 1486 · Jun 3;01
  16. Izumo te dore ? %mov:"30112"_2415418_2416600 FAT · japanese_ishii/30112.cha, line 1528 · Jun 3;01
  1. FATshooboosha ? %mov:"30112"_25337_26960
    CHIbuun@o [<] . %mov:"30112"_26960_28269
    FAT*FAT: dore yo [<] . %mov:"30112"_26960_28269
    CHIhora, shooboosha kita . %mov:"30112"_28269_30446
    FATa, honto . %mov:"30112"_30446_30964
  2. FATe ? %mov:"30112"_761605_762300
    CHIminna haitteru . %mov:"30112"_762300_764027
    FAT*FAT: dore ga akachan . %mov:"30112"_764027_765377
    CHIkore ga aachan [: akachan] . %mov:"30112"_765377_766975
    FATe? %mov:"30112"_766975_767760
  3. FATun . %mov:"30112"_923205_923767
    CHIhonnyattara [: soshitara] ugokehen yan . %mov:"30112"_923767_925883
    FAT*FAT: dore ga . %mov:"30112"_925883_926891
    CHIkore ga ugokehen yan . %mov:"30112"_926891_928468
    FATkotchi mae yaro . %mov:"30112"_928468_929431
  4. CHInande hikkakatten nya,, kore . %mov:"30112"_1026410_1028693
    CHIxxx kore # dore ga hikkakatten nya . %mov:"30112"_1028693_1033176
    FAT*FAT: dore yaro . %mov:"30112"_1033176_1033829
    CHIkotchi ya . %mov:"30112"_1033829_1035091
    FATsoo ka . %mov:"30112"_1035091_1035719
  5. FATtekkyou ? %mov:"30112"_1094055_1094851
    CHItekkyoo resssha . %mov:"30112"_1094851_1096563
    FAT*FAT: dore ga tekkyoo ya . %mov:"30112"_1096563_1097434
    CHIkore ya . %mov:"30112"_1097434_1098329
    FATtokkyuu yan ka . %mov:"30112"_1098329_1099514
  6. FATun . %mov:"30112"_1124791_1125210
    CHIanona # anona Shupein [: Supein] mo na +... %mov:"30112"_1125210_1128673
    FAT*FAT: dore ga Supein [>] . %mov:"30112"_1128673_1130007
    CHIanona [<] buranko an nya de . %mov:"30112"_1128673_1130007
    FATdore ga Supein . %mov:"30112"_1130007_1130867
  7. FATdore ga Supein [>] . %mov:"30112"_1128673_1130007
    CHIanona [<] buranko an nya de . %mov:"30112"_1128673_1130007
    FAT*FAT: dore ga Supein . %mov:"30112"_1130007_1130867
    CHISupein +... %mov:"30112"_1130867_1132124
    CHIare ? %mov:"30112"_1132124_1132919
  8. FAThee [>]. %mov:"30112"_1166712_1169277
    CHIano na [<] Hankyuu . %mov:"30112"_1166712_1169277
    FAT*FAT: dore ga Hankyuu ya . %mov:"30112"_1169277_1170540
    CHIHankyuu kore . %mov:"30112"_1170540_1171671
    FATchigau wa . %mov:"30112"_1171671_1172230
  9. CHIKintetsu . %mov:"30112"_1316602_1317631
    FATun . %mov:"30112"_1317631_1318065
    FAT*FAT: Seebu wa dore yatta ? %mov:"30112"_1318065_1319917
    CHISeebu kore . %mov:"30112"_1319917_1321225
    FATsoo ya . %mov:"30112"_1321225_1321599
  10. FATsoo ya . %mov:"30112"_1321225_1321599
    CHISeebu . %mov:"30112"_1321599_1322153
    FAT*FAT: Nishitetsu wa dore ya . %mov:"30112"_1322153_1323001
    CHINishitetsu ? %mov:"30112"_1323001_1324134
    CHIdoko ni atta . %mov:"30112"_1324134_1326495
  11. CHIkore wa ? %mov:"30112"_1341647_1342998
    CHInaa . %mov:"30112"_1342998_1344565
    FAT*FAT: dore ? %mov:"30112"_1344565_1345088
    CHIkore . %mov:"30112"_1345088_1345867
    FATkore ? %mov:"30112"_1345867_1346534
  12. CHImienakunatta,, moo [>] . %mov:"30112"_1750815_1752899
    FATun [<] . %mov:"30112"_1750815_1752899
    FAT*FAT: Amerika no densha dore yatta ? %mov:"30112"_1752899_1754897
    FATAmerika no tokkyuressha . %mov:"30112"_1754897_1757839
    CHIa, kamusokuressha [: kaisokuressha] . %mov:"30112"_1757839_1760826
  13. CHIkomotsutokkyuu . %mov:"30112"_1762576_1763835
    FATkoko ka . %mov:"30112"_1763835_1764580
    FAT*FAT: dore ya,, Amerika . %mov:"30112"_1764580_1765260
    FATkore ka . %mov:"30112"_1765260_1765759
    CHIAmerika . %mov:"30112"_1765759_1766917
  14. FATissho ya na . %mov:"30112"_2323323_2324752
    CHIxxx . %mov:"30112"_2324752_2326659
    FAT*FAT: Fuji tte dore ya . %mov:"30112"_2326659_2334653
    CHIFuji ? %mov:"30112"_2334653_2335771
    CHIkore ya [>] . %mov:"30112"_2335771_2337117
  15. FATsore hajime [?] ya . %mov:"30112"_2349729_2350903
    CHIhajime [?] . %mov:"30112"_2350903_2352118
    FAT*FAT: dore ga Fuji ya . %mov:"30112"_2352118_2352806
    CHIFuji ya . %mov:"30112"_2352806_2354156
    CHIare ? %mov:"30112"_2354156_2357083
  16. FATnani ga kowai ka . %mov:"30112"_2409951_2410739
    CHIIzumo wa kowanai ? %mov:"30112"_2410739_2415418
    FAT*FAT: Izumo te dore ? %mov:"30112"_2415418_2416600
    CHIIzumo ? %mov:"30112"_2416600_2417894
    FATun . %mov:"30112"_2417894_2418528

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_ishii8.99
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/30112.chaJun 3;1.121,78016168.99

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. dore16 · 100.0%