PHPCLANCHILDES with regular expressions

9 matches in 9 utterances

4.50 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (790 utterances, 1,999 words searched).

  1. dore,, Uchuusenkan ? %mov:"20929"_133178_135300 FAT · japanese_ishii/20929.cha, line 51 · Jun 2;09
  2. Uchuusenkan dore ? %mov:"20929"_136757_138170 FAT · japanese_ishii/20929.cha, line 53 · Jun 2;09
  3. hai, dore . %mov:"20929"_181292_182651 FAT · japanese_ishii/20929.cha, line 70 · Jun 2;09
  4. dore ga ii ? %mov:"20929"_460979_462828 FAT · japanese_ishii/20929.cha, line 240 · Jun 2;09
  5. dore ga ichiban nagai ? %mov:"20929"_491399_493179 FAT · japanese_ishii/20929.cha, line 258 · Jun 2;09
  6. boku wa dore ga ii no ? %mov:"20929"_704000_716385 FAT · japanese_ishii/20929.cha, line 390 · Jun 2;09
  7. dore ? %mov:"20929"_2237445_2237937 FAT · japanese_ishii/20929.cha, line 1186 · Jun 2;09
  8. hai, dore desu ka ? %mov:"20929"_2682180_2683647 FAT · japanese_ishii/20929.cha, line 1379 · Jun 2;09
  9. dore ga oishii desu ka ? %mov:"20929"_2787064_2792347 FAT · japanese_ishii/20929.cha, line 1451 · Jun 2;09
  1. japanese_ishii/20929.cha, line 51 · Jun, 2;9.29
    FATdoo shiyoo . %mov:"20929"_129760_131677
    CHIxxx . %mov:"20929"_131677_133178
    FAT*FAT: dore,, Uchuusenkan ? %mov:"20929"_133178_135300
    CHIn ? %mov:"20929"_135300_136757
    FATUchuusenkan dore ? %mov:"20929"_136757_138170
  2. japanese_ishii/20929.cha, line 53 · Jun, 2;9.29
    FATdore,, Uchuusenkan ? %mov:"20929"_133178_135300
    CHIn ? %mov:"20929"_135300_136757
    FAT*FAT: Uchuusenkan dore ? %mov:"20929"_136757_138170
    CHIJunkun sagashiteyaroo . %mov:"20929"_138170_140720
    FATun . %mov:"20929"_140720_141215
  3. japanese_ishii/20929.cha, line 70 · Jun, 2;9.29
    FATe ? %mov:"20929"_166453_167051
    CHIkoko da,, Uchuusenkan . %mov:"20929"_167051_181292
    FAT*FAT: hai, dore . %mov:"20929"_181292_182651
    FATa, atta [/] atta . %mov:"20929"_182651_183222
    FATUchuusenkan atta ne . %mov:"20929"_183222_188120
  4. japanese_ishii/20929.cha, line 240 · Jun, 2;9.29
    CHIiya . %mov:"20929"_458145_458774
    CHIchiisai no iya wa . %mov:"20929"_458774_460979
    FAT*FAT: dore ga ii ? %mov:"20929"_460979_462828
    CHIeeto [/] eeto +... %mov:"20929"_462828_465506
    CHIeetto, kore takai ofuro # noseteru wa,, kore . %mov:"20929"_465506_474351
  5. japanese_ishii/20929.cha, line 258 · Jun, 2;9.29
    FATkore mo nagai yan, hora . %mov:"20929"_487438_489235
    CHInaganai [: nagakunai] waa . %mov:"20929"_489235_491399
    FAT*FAT: dore ga ichiban nagai ? %mov:"20929"_491399_493179
    CHIkore ya . %mov:"20929"_493179_495197
    CHIJunkun morau zoo,, kore wa . %mov:"20929"_495197_497748
  6. japanese_ishii/20929.cha, line 390 · Jun, 2;9.29
    CHIbooru de xxx no ya de . %mov:"20929"_701915_704000
    FATfuun . %mov:"20929"_701915_704000
    FAT*FAT: boku wa dore ga ii no ? %mov:"20929"_704000_716385
    FATkore ga hoshii no ? %mov:"20929"_716385_717714
    CHIboku wa kore . %mov:"20929"_717714_719772
  7. japanese_ishii/20929.cha, line 1186 · Jun, 2;9.29
    CHIOtoosan no saikoro de . %mov:"20929"_2230738_2232639
    CHIOtoosan no # kore Otoosan no yaro ? %mov:"20929"_2232639_2237445
    FAT*FAT: dore ? %mov:"20929"_2237445_2237937
    CHIkore Otoosan no yaro ? %mov:"20929"_2237937_2239245
    FATchigau yo . %mov:"20929"_2239245_2239958
  8. japanese_ishii/20929.cha, line 1379 · Jun, 2;9.29
    FAThairimashita ka ? %mov:"20929"_2676534_2677826
    CHIhai, nondekudsai,, Otoosan . %mov:"20929"_2677826_2682180
    FAT*FAT: hai, dore desu ka ? %mov:"20929"_2682180_2683647
    CHIkore . %mov:"20929"_2683647_2684449
    CHIkore wa # kore . %mov:"20929"_2684449_2689307
  9. japanese_ishii/20929.cha, line 1451 · Jun, 2;9.29
    CHIhore, koboretanai [: koboretenai] desu . %mov:"20929"_2780393_2785253
    FATkoboretenai ? %mov:"20929"_2785253_2787064
    FAT*FAT: dore ga oishii desu ka ? %mov:"20929"_2787064_2792347
    CHIeeto [/] eeto [/] eeto +... %mov:"20929"_2792347_2794276
    CHIkore ga oishii desu . %mov:"20929"_2794276_2797285

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_ishii4.50
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/20929.chaJun 2;9.291,999994.50

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. dore9 · 100.0%