PHPCLANCHILDES with regular expressions

13 matches in 10 utterances

11.30 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (482 utterances, 1,150 words searched).

  1. soo . %mov:"30203"_140336_140904 FAT · japanese_ishii/30203.cha, line 64 · Jun 3;02
  2. soo ya . %mov:"30203"_598528_599181 FAT · japanese_ishii/30203.cha, line 181 · Jun 3;02
  3. soo ya . %mov:"30203"_646334_646870 FAT · japanese_ishii/30203.cha, line 213 · Jun 3;02
  4. soo . %mov:"30203"_659620_660151 FAT · japanese_ishii/30203.cha, line 222 · Jun 3;02
  5. soo ya naa . %mov:"30203"_690444_691430 FAT · japanese_ishii/30203.cha, line 240 · Jun 3;02
  6. soo ya . %mov:"30203"_765918_766359 FAT · japanese_ishii/30203.cha, line 275 · Jun 3;02
  7. soo ka ? %mov:"30203"_1002782_1003341 FAT · japanese_ishii/30203.cha, line 364 · Jun 3;02
  8. soo [/] soo [/] soo . %mov:"30203"_2172876_2174411 FAT · japanese_ishii/30203.cha, line 740 · Jun 3;02
  9. soo [/] soo [/] soo . %mov:"30203"_2172876_2174411 FAT · japanese_ishii/30203.cha, line 740 · Jun 3;02
  10. soo [/] soo [/] soo . %mov:"30203"_2172876_2174411 FAT · japanese_ishii/30203.cha, line 740 · Jun 3;02
  11. soo [/] soo . %mov:"30203"_2493668_2495925 FAT · japanese_ishii/30203.cha, line 833 · Jun 3;02
  12. soo [/] soo . %mov:"30203"_2493668_2495925 FAT · japanese_ishii/30203.cha, line 833 · Jun 3;02
  13. soo, soko oitoku no,, sore wa . %mov:"30203"_2821950_2823397 FAT · japanese_ishii/30203.cha, line 951 · Jun 3;02
  1. FATutsuranai zo,, chanto utsu [/-] suwatten to . %mov:"30203"_130869_134122
    MAAsuwatten no . %mov:"30203"_134122_140336
    FAT*FAT: soo . %mov:"30203"_140336_140904
    CHIJun # Junkun kore ya de . %mov:"30203"_140904_142699
    CHIJunkun +... %mov:"30203"_142699_143268
  2. CHIHankyuu . %mov:"30203"_596414_597440
    CHIHankyuu ? %mov:"30203"_597440_598528
    FAT*FAT: soo ya . %mov:"30203"_598528_599181
    FATHankyuu ya . %mov:"30203"_599181_599828
    CHIHankyuu . %mov:"30203"_599828_600503
  3. MAAxxx . %mov:"30203"_639841_641109
    CHIwaa, ni [/-] Hokkai . %mov:"30203"_641109_646334
    FAT*FAT: soo ya . %mov:"30203"_646334_646870
    FATHokkai ya . %mov:"30203"_646870_647503
    CHIkore mo +... %mov:"30203"_647503_648019
  4. MAAHokkai . %mov:"30203"_653797_654719
    CHIOotori . %mov:"30203"_654719_659620
    FAT*FAT: soo . %mov:"30203"_659620_660151
    FATOotori . %mov:"30203"_660151_660671
    CHIHokuto . %mov:"30203"_660671_661484
  5. CHIDoitsu da . %mov:"30203"_683825_687226
    CHIDo # Doitsu kara kakattekita waa . %mov:"30203"_687226_690444
    FAT*FAT: soo ya naa . %mov:"30203"_690444_691430
    CHIkore naa +... %mov:"30203"_691430_693369
    MAAxxx . %mov:"30203"_693369_694550
  6. MAAkore nottehan no,, otoosan . %mov:"30203"_761418_763770
    CHISa [//] Sakura ya zo,, kore wa . %mov:"30203"_763770_765918
    FAT*FAT: soo ya . %mov:"30203"_765918_766359
    FATSakura ya . %mov:"30203"_766359_766880
    CHISakura [>] . %mov:"30203"_766880_767788
  7. CHIhaitta ? %mov:"30203"_1000879_1002213
    MAAhora . %mov:"30203"_1002213_1002782
    FAT*FAT: soo ka ? %mov:"30203"_1002782_1003341
    MAAhora . %mov:"30203"_1003341_1005554
    FATun . %mov:"30203"_1005554_1006165
  8. CHIxxx . %mov:"30203"_2168220_2172060
    FATtsuketageyo . %mov:"30203"_2172060_2172876
    FAT*FAT: soo [/] soo [/] soo . %mov:"30203"_2172876_2174411
    FATsorede ee ne . %mov:"30203"_2174411_2174979
    CHIMaakun, hai . %mov:"30203"_2174979_2177793
  9. CHIxxx no ? %mov:"30203"_2491183_2493246
    FATun . %mov:"30203"_2493246_2493668
    FAT*FAT: soo [/] soo . %mov:"30203"_2493668_2495925
    CHIxxx na ? %mov:"30203"_2495925_2497656
    FATwakatta ? %mov:"30203"_2497656_2500886
  10. FATugoitara dame . %mov:"30203"_2816911_2818580
    CHIkoko ni oitoku . %mov:"30203"_2818580_2821950
    FAT*FAT: soo, soko oitoku no,, sore wa . %mov:"30203"_2821950_2823397
    CHIkotchi . %mov:"30203"_2823397_2825557
    CHIna ? %mov:"30203"_2825557_2826448

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_ishii11.30
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/30203.chaJun 3;2.031,150101311.30

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. soo13 · 100.0%