PHPCLANCHILDES with regular expressions

11 matches in 10 utterances

5.81 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (707 utterances, 1,893 words searched).

  1. sore mo Maakun [= friend] mottenai yaro,, sono jidoosha mo . %mov:"30119"… FAT · japanese_ishii/30119.cha, line 127 · Jun 3;01
  2. butsukattehen ka,, sore wa . %mov:"30119"_1258891_1260378 FAT · japanese_ishii/30119.cha, line 543 · Jun 3;01
  3. nan ya,, sore . %mov:"30119"_1372318_1372804 FAT · japanese_ishii/30119.cha, line 595 · Jun 3;01
  4. hai, sore made koko de asondeyoo . %mov:"30119"_1776920_1779538 FAT · japanese_ishii/30119.cha, line 738 · Jun 3;01
  5. sore nani . %mov:"30119"_1787750_1788255 FAT · japanese_ishii/30119.cha, line 744 · Jun 3;01
  6. nan desu ka,, sore wa ? %mov:"30119"_1815205_1816807 FAT · japanese_ishii/30119.cha, line 759 · Jun 3;01
  7. sore nani ? %mov:"30119"_1832849_1837185 FAT · japanese_ishii/30119.cha, line 770 · Jun 3;01
  8. nan ya,, sore . %mov:"30119"_1900865_1901670 FAT · japanese_ishii/30119.cha, line 817 · Jun 3;01
  9. sore futatsu yan ka . %mov:"30119"_2451297_2452036 FAT · japanese_ishii/30119.cha, line 1083 · Jun 3;01
  10. sore ikutsu ya,, sore . %mov:"30119"_2500298_2512809 FAT · japanese_ishii/30119.cha, line 1114 · Jun 3;01
  11. sore ikutsu ya,, sore . %mov:"30119"_2500298_2512809 FAT · japanese_ishii/30119.cha, line 1114 · Jun 3;01
  1. CHIxxx . %mov:"30119"_375691_408627
    CHIsora de tobu . %mov:"30119"_408627_418170
    FAT*FAT: sore mo Maakun [= friend] mottenai yaro,, sono jidoosha mo . %mov:"30119"_418170_422031
    CHIun, Maakun wa . %mov:"30119"_422031_424073
    FATun . %mov:"30119"_424073_424856
  2. CHIhore . %mov:"30119"_1256808_1257728
    CHInaa ? %mov:"30119"_1257728_1258891
    FAT*FAT: butsukattehen ka,, sore wa . %mov:"30119"_1258891_1260378
    CHIkore wa koo shite # iku nya kara . %mov:"30119"_1260378_1262896
    FATaa, soo . %mov:"30119"_1262896_1263331
  3. CHIkore mo kamu zoo . %mov:"30119"_1359252_1370114
    CHIuiin@o gabuun@o . %mov:"30119"_1370114_1372318
    FAT*FAT: nan ya,, sore . %mov:"30119"_1372318_1372804
    CHIxxx # Jiipu [>] . %mov:"30119"_1372804_1375053
    FATa [<] Jiipu ka .%mov:"30119"_1372804_1375053
  4. FATwakatta ? %mov:"30119"_1773322_1775862
    CHIhai . %mov:"30119"_1775862_1776920
    FAT*FAT: hai, sore made koko de asondeyoo . %mov:"30119"_1776920_1779538
    CHIkotchi de ? %mov:"30119"_1779538_1781132
    FATjidoosha narabetekudasai . %mov:"30119"_1781132_1783053
  5. FATe ? %mov:"30119"_1785675_1786278
    CHIiya desu yo . %mov:"30119"_1786278_1787750
    FAT*FAT: sore nani . %mov:"30119"_1787750_1788255
    FATmisete,, nnara [: sorenara] . %mov:"30119"_1788255_1789043
    CHIhore . %mov:"30119"_1789043_1789640
  6. FAThitotsu misete . %mov:"30119"_1810839_1812037
    CHIiya . %mov:"30119"_1812037_1815205
    FAT*FAT: nan desu ka,, sore wa ? %mov:"30119"_1815205_1816807
    CHIxxx . %mov:"30119"_1816807_1818190
    FATmisete . %mov:"30119"_1818190_1818915
  7. FATnakunarahen yan ka . %mov:"30119"_1828283_1831090
    CHInakunaru . %mov:"30119"_1831090_1832849
    FAT*FAT: sore nani ? %mov:"30119"_1832849_1837185
    FAThon ka ? %mov:"30119"_1837185_1837713
    CHIn ? %mov:"30119"_1837713_1838375
  8. FATtsugi nan desu ka ? %mov:"30119"_1898488_1899519
    CHIkore wa kore . %mov:"30119"_1899519_1900865
    FAT*FAT: nan ya,, sore . %mov:"30119"_1900865_1901670
    CHIyuki ya . %mov:"30119"_1901670_1903055
    FATyuki ka . %mov:"30119"_1903055_1903935
  9. FATmittsu wa doo ya [>] . %mov:"30119"_2447755_2451297
    CHIkonnake [<] konnake ita de . %mov:"30119"_2447755_2451297
    FAT*FAT: sore futatsu yan ka . %mov:"30119"_2451297_2452036
    CHIn ? %mov:"30119"_2452036_2453455
    FATfutatsu yan,, kore wa . %mov:"30119"_2453455_2454542
  10. FATaa . %mov:"30119"_2496948_2497648
    FATkotchi no yubi no hoo ga joozu ni dekin nyaro, Junkun . %mov:"30119"_2497648_2500298
    FAT*FAT: sore ikutsu ya,, sore . %mov:"30119"_2500298_2512809
    CHIn ? %mov:"30119"_2512809_2514411
    FATwan@o wanwan@o . %mov:"30119"_2514411_2521598

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_ishii5.81
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/30119.chaJun 3;1.191,89310115.81

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. sore11 · 100.0%