PHPCLANCHILDES with regular expressions

11 matches in 11 utterances

10.41 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (423 utterances, 1,057 words searched).

  1. nani kore ? %mov:"20002"_26796_27755 FAT · japanese_ishii/20002.cha, line 35 · Jun 2;00
  2. chuchuchuchu@o nani shiten no,, sore [<] . %mov:"20002"_39534_41700 FAT · japanese_ishii/20002.cha, line 49 · Jun 2;00
  3. kore nani, kore . %mov:"20002"_139548_140154 FAT · japanese_ishii/20002.cha, line 143 · Jun 2;00
  4. kore nani shiten no,, kono oniichan . %mov:"20002"_182559_184065 FAT · japanese_ishii/20002.cha, line 176 · Jun 2;00
  5. kore nani, kore ? %mov:"20002"_359705_360602 FAT · japanese_ishii/20002.cha, line 322 · Jun 2;00
  6. nani,, kore ? %mov:"20002"_364220_364854 FAT · japanese_ishii/20002.cha, line 327 · Jun 2;00
  7. kono hito wa nani shiten no ? %mov:"20002"_386110_388414 FAT · japanese_ishii/20002.cha, line 349 · Jun 2;00
  8. kore nani [<] ? %mov:"20002"_429686_433862 FAT · japanese_ishii/20002.cha, line 385 · Jun 2;00
  9. nani ga . %mov:"20002"_484760_484760 FAT · japanese_ishii/20002.cha, line 435 · Jun 2;00
  10. nani ga nai ? %mov:"20002"_625912_626841 FAT · japanese_ishii/20002.cha, line 541 · Jun 2;00
  11. nani ga ? %mov:"20002"_833436_834273 FAT · japanese_ishii/20002.cha, line 661 · Jun 2;00
  1. CHIuu . %mov:"20002"_23550_24659
    CHIkoo . %mov:"20002"_24659_26796
    FAT*FAT: nani kore ? %mov:"20002"_26796_27755
    CHIkowa . %mov:"20002"_27755_28908
    FAThamusutaa tte kaitaaru naa . %mov:"20002"_28908_30955
  2. CHIxxx [<] . %mov:"20002"_38352_39534
    CHIkoe wa [>] ? %mov:"20002"_39534_41700
    FAT*FAT: chuchuchuchu@o nani shiten no,, sore [<] . %mov:"20002"_39534_41700
    CHInenne . %mov:"20002"_41700_42558
    FATnenne shiteru nee . %mov:"20002"_42558_43410
  3. FATaa soo . %mov:"20002"_136820_138121
    CHIbubuu ya . %mov:"20002"_138121_139548
    FAT*FAT: kore nani, kore . %mov:"20002"_139548_140154
    CHIune . %mov:"20002"_140154_144169
    FATe ? %mov:"20002"_144169_144758
  4. FATyuki ippai aru, hora . %mov:"20002"_179980_181321
    CHIn ? %mov:"20002"_181321_182559
    FAT*FAT: kore nani shiten no,, kono oniichan . %mov:"20002"_182559_184065
    CHIchuu aa <aa> [>] . %mov:"20002"_184065_184065
    FAT<shuu@o> [<] shiten no . %mov:"20002"_184065_184065
  5. CHIbaachi . %mov:"20002"_356653_357920
    CHIbaachi . %mov:"20002"_357920_359705
    FAT*FAT: kore nani, kore ? %mov:"20002"_359705_360602
    CHIbaachi [>] . %mov:"20002"_360602_361908
    FATkore takusan in [: iru] no [<] ? %mov:"20002"_360602_361908
  6. CHIn ? %mov:"20002"_361908_362412
    CHIn ? %mov:"20002"_362412_364220
    FAT*FAT: nani,, kore ? %mov:"20002"_364220_364854
    CHIwanwan . %mov:"20002"_364854_366502
    FATchutchu@o ya . %mov:"20002"_366502_367286
  7. CHIn ? %mov:"20002"_385064_385581
    FATun . %mov:"20002"_385581_386110
    FAT*FAT: kono hito wa nani shiten no ? %mov:"20002"_386110_388414
    CHIshuu ya . %mov:"20002"_388414_390280
    FATe ? %mov:"20002"_390280_390835
  8. FATa ! %mov:"20002"_428278_429686
    CHIakan [>] . %mov:"20002"_429686_433862
    FAT*FAT: kore nani [<] ? %mov:"20002"_429686_433862
    CHIouchi . %mov:"20002"_433862_435083
    FATe ? %mov:"20002"_435083_435657
  9. FATaye ? %mov:"20002"_483030_484100
    CHInai . %mov:"20002"_484100_484760
    FAT*FAT: nani ga . %mov:"20002"_484760_484760
    CHIhora . %mov:"20002"_485479_486002
    FATdore yomo ? %mov:"20002"_486002_486485
  10. CHImaaku . %mov:"20002"_622429_624654
    CHIae # nai . %mov:"20002"_624654_625912
    FAT*FAT: nani ga nai ? %mov:"20002"_625912_626841
    CHIpoppo ya . %mov:"20002"_626841_627768
    CHIpoppo . %mov:"20002"_627768_629335
  11. FATdoko kaku ? %mov:"20002"_827449_830383
    CHInai . %mov:"20002"_830383_833436
    FAT*FAT: nani ga ? %mov:"20002"_833436_834273
    CHInai . %mov:"20002"_834273_834829
    FATaru yan . %mov:"20002"_834829_835656

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_ishii10.41
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/20002.chaJun 2;0.021,057111110.41

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. nani11 · 100.0%