PHPCLANCHILDES with regular expressions

10 matches in 10 utterances

4.99 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (785 utterances, 2,003 words searched).

  1. soko saka ni natteru no . %mov:"21029"_338173_339298 FAT · japanese_ishii/21029.cha, line 209 · Jun 2;10
  2. basu ni untenshusan ga notten no . %mov:"21029"_680713_683043 FAT · japanese_ishii/21029.cha, line 397 · Jun 2;10
  3. doko ni [>] ? %mov:"21029"_960722_961266 FAT · japanese_ishii/21029.cha, line 501 · Jun 2;10
  4. soko ni atta ka ? %mov:"21029"_989300_991451 FAT · japanese_ishii/21029.cha, line 512 · Jun 2;10
  5. gareeji ni butsukatta . %mov:"21029"_1319483_1322765 FAT · japanese_ishii/21029.cha, line 647 · Jun 2;10
  6. gareeji ni butsukatta . %mov:"21029"_1362324_1363933 FAT · japanese_ishii/21029.cha, line 666 · Jun 2;10
  7. oshime kaetekite # Okaasan ni yuute . %mov:"21029"_1879811_1883272 FAT · japanese_ishii/21029.cha, line 876 · Jun 2;10
  8. ue ni hittsuitara patokaa mitai naa . %mov:"21029"_2190088_2192276 FAT · japanese_ishii/21029.cha, line 1037 · Jun 2;10
  9. gofuyoo [<] ni natta furushimbun furuzasshi gozaimasen ka ? %mov:"21029"_2482019_24… FAT · japanese_ishii/21029.cha, line 1190 · Jun 2;10
  10. asoko ni ofune aru yan . %mov:"21029"_3427051_3428297 FAT · japanese_ishii/21029.cha, line 1637 · Jun 2;10
  1. CHIagarenai te yuu, hore [>] . %mov:"21029"_336290_338173
    FATagarenai no [<] . %mov:"21029"_336290_338173
    FAT*FAT: soko saka ni natteru no . %mov:"21029"_338173_339298
    FATagarenai no . %mov:"21029"_339298_339298
    FATgambatte . %mov:"21029"_339899_340728
  2. CHIpatokaa [<] ni naa +... %mov:"21029"_678809_680282
    FATun . %mov:"21029"_680282_680713
    FAT*FAT: basu ni untenshusan ga notten no . %mov:"21029"_680713_683043
    FATuun . %mov:"21029"_683043_683798
    CHIhai, nottekudasai . %mov:"21029"_683798_685697
  3. FATe [<] ? %mov:"21029"_954047_959863
    FATForukusuwaagen atta ? %mov:"21029"_959863_960722
    FAT*FAT: doko ni [>] ? %mov:"21029"_960722_961266
    CHIkore # kore [<] . %mov:"21029"_960722_961266
    FATaa, honto . %mov:"21029"_961266_961266
  4. FATkiiro no chiisai Forukusuwaagen +... %mov:"21029"_983977_987406
    CHIkore yan ka . %mov:"21029"_987406_989300
    FAT*FAT: soko ni atta ka ? %mov:"21029"_989300_991451
    CHIkore naa +... %mov:"21029"_991451_992954
    CHIwuuun@o xxx +... %mov:"21029"_992954_996731
  5. FATuu ! %mov:"21029"_1316899_1318610
    FATuwaa ! %mov:"21029"_1318610_1319483
    FAT*FAT: gareeji ni butsukatta . %mov:"21029"_1319483_1322765
    CHIun . %mov:"21029"_1322765_1323985
    FATdoo suru ? %mov:"21029"_1323985_1324546
  6. CHInani yuuta ? %mov:"21029"_1358011_1360329
    CHInaa . %mov:"21029"_1360329_1362324
    FAT*FAT: gareeji ni butsukatta . %mov:"21029"_1362324_1363933
    CHIgareeji agatta de, hore . %mov:"21029"_1363933_1366910
    FATagatta n . %mov:"21029"_1366910_1367602
  7. CHIkusanai ? %mov:"21029"_1878514_1879256
    FATkusai yo . %mov:"21029"_1879256_1879811
    FAT*FAT: oshime kaetekite # Okaasan ni yuute . %mov:"21029"_1879811_1883272
    FATkusai wa . %mov:"21029"_1883272_1884290
    FAToshime kaetekoi . %mov:"21029"_1884290_1885860
  8. CHIpipopipopipopipo@o [>] +... %mov:"21029"_2187024_2190088
    FAThonto [<] . %mov:"21029"_2187024_2190088
    FAT*FAT: ue ni hittsuitara patokaa mitai naa . %mov:"21029"_2190088_2192276
    CHIpatokaa . %mov:"21029"_2192276_2195712
    CHIpatokaa ya . %mov:"21029"_2195712_2196953
  9. FATfurushimbun furuzasshi wa gozaimasen kaa ? %mov:"21029"_2478056_2482019
    CHIoni [>] +... %mov:"21029"_2482019_2488205
    FAT*FAT: gofuyoo [<] ni natta furushimbun furuzasshi gozaimasen ka ? %mov:"21029"_2482019_2488205
    CHInani yuuten no ? %mov:"21029"_2488205_2489368
    CHIyaki'imo . %mov:"21029"_2489368_2491706
  10. FATun, umi ga aru yo . %mov:"21029"_3424940_3425760
    CHIkoo yatte hai +... %mov:"21029"_3425760_3427051
    FAT*FAT: asoko ni ofune aru yan . %mov:"21029"_3427051_3428297
    CHIdoko ? %mov:"21029"_3428297_3430920
    FATsono akai no . %mov:"21029"_3430920_3434137

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_ishii4.99
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/21029.chaJun 2;10.292,00310104.99

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. ni10 · 100.0%