PHPCLANCHILDES with regular expressions

10 matches in 10 utterances

9.10 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (432 utterances, 1,099 words searched).

  1. kemuri denai te ka ,, sore ? %mov:"20511"_223995_225214 FAT · japanese_ishii/20511.cha, line 133 · Jun 2;05
  2. san te kaiteru . %mov:"20511"_840272_841248 FAT · japanese_ishii/20511.cha, line 449 · Jun 2;05
  3. kore shi te kaitaaru . %mov:"20511"_850603_852167 FAT · japanese_ishii/20511.cha, line 456 · Jun 2;05
  4. kore juugo [= 15] te kaiteru . %mov:"20511"_857796_857796 FAT · japanese_ishii/20511.cha, line 460 · Jun 2;05
  5. nijuugo [= 25] te kaiteru . %mov:"20511"_861574_862991 FAT · japanese_ishii/20511.cha, line 463 · Jun 2;05
  6. nijuugo ya te . %mov:"20511"_862991_865438 FAT · japanese_ishii/20511.cha, line 464 · Jun 2;05
  7. kore wa eibiisiidii [= ABCD] te kaiaaru na ? %mov:"20511"_889733_891852 FAT · japanese_ishii/20511.cha, line 479 · Jun 2;05
  8. aan, nan te kaitaaru ka na ? %mov:"20511"_911573_912885 FAT · japanese_ishii/20511.cha, line 488 · Jun 2;05
  9. nan te kaitaan no ,, sore ? %mov:"20511"_1341291_1344633 FAT · japanese_ishii/20511.cha, line 660 · Jun 2;05
  10. kontena te kaitaaru yan . %mov:"20511"_1354502_1355957 FAT · japanese_ishii/20511.cha, line 665 · Jun 2;05
  1. FATe ? %mov:"20511"_222214_223036
    CHIhore . %mov:"20511"_223036_223995
    FAT*FAT: kemuri denai te ka ,, sore ? %mov:"20511"_223995_225214
    FATsore shooboojidoosha ya ro ? %mov:"20511"_225214_226680
    FATkowarechattan ya ,, sore . %mov:"20511"_226680_228160
  2. CHIkore mo kaiteru wa kotchi mo [>] . %mov:"20511"_835648_840272
    FATa, kaiteru [<] . %mov:"20511"_835648_840272
    FAT*FAT: san te kaiteru . %mov:"20511"_840272_841248
    CHIshan . %mov:"20511"_841248_841796
    FATun, san ya ,, kore na ? %mov:"20511"_841796_843230
  3. FATkore wa ? %mov:"20511"_845731_848198
    CHIsan kaitenai . %mov:"20511"_848198_850603
    FAT*FAT: kore shi te kaitaaru . %mov:"20511"_850603_852167
    FATichinisanshi [= 1234] ya . %mov:"20511"_852167_855349
    CHIkore mo kaiteru . %mov:"20511"_855349_857000
  4. CHIkore mo kaiteru . %mov:"20511"_855349_857000
    FATkaiteru [/] kaiteru . %mov:"20511"_857000_857796
    FAT*FAT: kore juugo [= 15] te kaiteru . %mov:"20511"_857796_857796
    CHIjuugo [= 15] kaiteru [>] . %mov:"20511"_859157_861574
    FATkore mo kaiteru wa, hore [<] . %mov:"20511"_859157_861574
  5. CHIjuugo [= 15] kaiteru [>] . %mov:"20511"_859157_861574
    FATkore mo kaiteru wa, hore [<] . %mov:"20511"_859157_861574
    FAT*FAT: nijuugo [= 25] te kaiteru . %mov:"20511"_861574_862991
    FATnijuugo ya te . %mov:"20511"_862991_865438
    FATsugoi naa . %mov:"20511"_865438_866328
  6. FATkore mo kaiteru wa, hore [<] . %mov:"20511"_859157_861574
    FATnijuugo [= 25] te kaiteru . %mov:"20511"_861574_862991
    FAT*FAT: nijuugo ya te . %mov:"20511"_862991_865438
    FATsugoi naa . %mov:"20511"_865438_866328
    FATsore reeshingukaa kaitenai ka ? %mov:"20511"_866328_868319
  7. CHIkore <bo boorubooru> [>] kaiteru . %mov:"20511"_883779_889733
    FATkore wa [<] +... %mov:"20511"_883779_889733
    FAT*FAT: kore wa eibiisiidii [= ABCD] te kaiaaru na ? %mov:"20511"_889733_891852
    CHIchau wa konna de . %mov:"20511"_891852_898466
    FATe ? %mov:"20511"_898466_898768
  8. FATsoo, yakiimo [/] yakiimo to kaiteru nee, kore wa . %mov:"20511"_904481_907335
    CHIdensha mo kaiteru wa . %mov:"20511"_907335_911573
    FAT*FAT: aan, nan te kaitaaru ka na ? %mov:"20511"_911573_912885
    CHIkore mo kaiteru . %mov:"20511"_912885_917453
    FATuun, sore nan daro . %mov:"20511"_917453_919260
  9. FATun . %mov:"20511"_1339876_1340266
    FATxxx . %mov:"20511"_1340266_1341291
    FAT*FAT: nan te kaitaan no ,, sore ? %mov:"20511"_1341291_1344633
    FATe ? %mov:"20511"_1344633_1347034
    CHIee [//] eebiishii'ii [= ABCE] kaiten no . %mov:"20511"_1347034_1351333
  10. FATun, kontena tte kaitaaru . %mov:"20511"_1351333_1352973
    CHIkontena chau wa . %mov:"20511"_1352973_1354502
    FAT*FAT: kontena te kaitaaru yan . %mov:"20511"_1354502_1355957
    CHIdoko ? %mov:"20511"_1355957_1359745
    FAThora . %mov:"20511"_1359745_1360578

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_ishii9.10
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/20511.chaJun 2;5.111,09910109.10

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. te10 · 100.0%