PHPCLANCHILDES with regular expressions

10 matches in 10 utterances

8.22 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (473 utterances, 1,216 words searched).

  1. itai yo . %mov:"20415"_600558_601389 FAT · japanese_ishii/20415.cha, line 294 · Jun 2;04
  2. nani ga yo . %mov:"20415"_802793_803668 FAT · japanese_ishii/20415.cha, line 395 · Jun 2;04
  3. gotsun@o suru yo,, koko (de) . %mov:"20415"_1535700_1538130 FAT · japanese_ishii/20415.cha, line 781 · Jun 2;04
  4. abunai yo . %mov:"20415"_1591506_1592571 FAT · japanese_ishii/20415.cha, line 817 · Jun 2;04
  5. abunai yo,, moo mizo no toko [: tokoro] wa . %mov:"20415"_1593582_1595347 FAT · japanese_ishii/20415.cha, line 819 · Jun 2;04
  6. kii tsukenasai [: ki o tukenasai] yo . %mov:"20415"_1599003_1600000 FAT · japanese_ishii/20415.cha, line 823 · Jun 2;04
  7. hai, minna nainai shitekudasai yo . %mov:"20415"_1821184_1823284 FAT · japanese_ishii/20415.cha, line 962 · Jun 2;04
  8. zembu nainai shitekudasai yo . %mov:"20415"_1823284_1823284 FAT · japanese_ishii/20415.cha, line 963 · Jun 2;04
  9. mada atchi ni mo aru yo . %mov:"20415"_1877117_1878547 FAT · japanese_ishii/20415.cha, line 982 · Jun 2;04
  10. mada aru yo . %mov:"20415"_1896686_1897482 FAT · japanese_ishii/20415.cha, line 989 · Jun 2;04
  1. FATaita . %mov:"20415"_592386_598963
    CHIitai ? %mov:"20415"_598963_600558
    FAT*FAT: itai yo . %mov:"20415"_600558_601389
    CHIonaka # buubuu xxx shita ? %mov:"20415"_601389_604690
    FATe ? %mov:"20415"_604690_605225
  2. FATmoshitotsu ? %mov:"20415"_800098_800987
    CHImottochu . %mov:"20415"_800987_802793
    FAT*FAT: nani ga yo . %mov:"20415"_802793_803668
    CHIxxx sho [//] nokita [?] sho ? %mov:"20415"_803668_808361
    CHImottotsu wa ? %mov:"20415"_808361_811439
  3. FATaitaa ! %mov:"20415"_1531008_1532207
    CHIOkaashan shasuketee . %mov:"20415"_1532207_1535700
    FAT*FAT: gotsun@o suru yo,, koko (de) . %mov:"20415"_1535700_1538130
    CHIshashuketee [: tasukete] . %mov:"20415"_1538130_1539760
    FATtasukete . %mov:"20415"_1539760_1541290
  4. CHItatta . %mov:"20415"_1586106_1587884
    CHItatta . %mov:"20415"_1587884_1591506
    FAT*FAT: abunai yo . %mov:"20415"_1591506_1592571
    CHIn ? %mov:"20415"_1592571_1593582
    FATabunai yo,, moo mizo no toko [: tokoro] wa . %mov:"20415"_1593582_1595347
  5. FATabunai yo . %mov:"20415"_1591506_1592571
    CHIn ? %mov:"20415"_1592571_1593582
    FAT*FAT: abunai yo,, moo mizo no toko [: tokoro] wa . %mov:"20415"_1593582_1595347
    FATwakatta ? %mov:"20415"_1595347_1597642
    CHIdobaa ! %mov:"20415"_1597642_1599003
  6. FATwakatta ? %mov:"20415"_1595347_1597642
    CHIdobaa ! %mov:"20415"_1597642_1599003
    FAT*FAT: kii tsukenasai [: ki o tukenasai] yo . %mov:"20415"_1599003_1600000
    CHIhaai . %mov:"20415"_1600000_1600827
    CHImoo kowatatta naa ? %mov:"20415"_1600827_1604976
  7. CHIjiyaa ! %mov:"20415"_1814592_1816868
    CHInainai shita de . %mov:"20415"_1816868_1821184
    FAT*FAT: hai, minna nainai shitekudasai yo . %mov:"20415"_1821184_1823284
    FATzembu nainai shitekudasai yo . %mov:"20415"_1823284_1823284
    CHIzembu ? %mov:"20415"_1828810_1829975
  8. CHInainai shita de . %mov:"20415"_1816868_1821184
    FAThai, minna nainai shitekudasai yo . %mov:"20415"_1821184_1823284
    FAT*FAT: zembu nainai shitekudasai yo . %mov:"20415"_1823284_1823284
    CHIzembu ? %mov:"20415"_1828810_1829975
    FATzembu . %mov:"20415"_1829975_1831760
  9. FATxxx . %mov:"20415"_1875243_1876574
    CHIn ? %mov:"20415"_1876574_1877117
    FAT*FAT: mada atchi ni mo aru yo . %mov:"20415"_1877117_1878547
    CHIatchi mo ? %mov:"20415"_1878547_1879488
    FATun . %mov:"20415"_1879488_1880078
  10. FAThai . %mov:"20415"_1889318_1889917
    CHIhai moo nai de . %mov:"20415"_1889917_1896686
    FAT*FAT: mada aru yo . %mov:"20415"_1896686_1897482
    FAThai, moo oshimai ka ? %mov:"20415"_1897482_1901931
    FATa, zembu katazuketa nee . %mov:"20415"_1901931_1904554

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_ishii8.22
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/20415.chaJun 2;4.151,21610108.22

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. yo10 · 100.0%