PHPCLANCHILDES with regular expressions

12 matches in 12 utterances

12.83 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (383 utterances, 935 words searched).

  1. moo ii ? %mov:"20017"_182073_182738 FAT · japanese_ishii/20017.cha, line 130 · Jun 2;00
  2. moo kowakunai ya ro ? %mov:"20017"_238365_240621 FAT · japanese_ishii/20017.cha, line 170 · Jun 2;00
  3. moo ii yo . %mov:"20017"_631252_634533 FAT · japanese_ishii/20017.cha, line 397 · Jun 2;00
  4. moo ii yo . %mov:"20017"_635582_636290 FAT · japanese_ishii/20017.cha, line 399 · Jun 2;00
  5. moo takemashita ka ? %mov:"20017"_847971_851336 FAT · japanese_ishii/20017.cha, line 517 · Jun 2;00
  6. moo nai ka ? %mov:"20017"_889395_890712 FAT · japanese_ishii/20017.cha, line 546 · Jun 2;00
  7. moo nai ? %mov:"20017"_891511_892077 FAT · japanese_ishii/20017.cha, line 548 · Jun 2;00
  8. moo nai ? %mov:"20017"_893374_894442 FAT · japanese_ishii/20017.cha, line 550 · Jun 2;00
  9. n nna [: soredewa], moo kotchi yatto ko . %mov:"20017"_916961_918499 FAT · japanese_ishii/20017.cha, line 566 · Jun 2;00
  10. moo inai . %mov:"20017"_931180_932022 FAT · japanese_ishii/20017.cha, line 574 · Jun 2;00
  11. moo inai . %mov:"20017"_939801_940510 FAT · japanese_ishii/20017.cha, line 580 · Jun 2;00
  12. moo nai ? %mov:"20017"_1105145_1108009 FAT · japanese_ishii/20017.cha, line 659 · Jun 2;00
  1. FATchokinchokin@o . %mov:"20017"_178651_180367
    CHImoo ii . %mov:"20017"_180367_182073
    FAT*FAT: moo ii ? %mov:"20017"_182073_182738
    CHIuue a ? %mov:"20017"_182738_184388
    FATatta attaa . %mov:"20017"_184388_185358
  2. FATmee ! %mov:"20017"_235598_237186
    FATmee ! %mov:"20017"_237186_238365
    FAT*FAT: moo kowakunai ya ro ? %mov:"20017"_238365_240621
    FATn ? %mov:"20017"_240621_243145
    CHIxxx . %mov:"20017"_243145_255170
  3. FATmee ! %mov:"20017"_629232_630015
    CHImee ! %mov:"20017"_630015_631252
    FAT*FAT: moo ii yo . %mov:"20017"_631252_634533
    CHIn ? %mov:"20017"_634533_635582
    FATmoo ii yo . %mov:"20017"_635582_636290
  4. FATmoo ii yo . %mov:"20017"_631252_634533
    CHIn ? %mov:"20017"_634533_635582
    FAT*FAT: moo ii yo . %mov:"20017"_635582_636290
    CHIkowai yoo . %mov:"20017"_636290_647800
    FATkowakunai yo . %mov:"20017"_647800_648859
  5. CHIaton . %mov:"20017"_842948_843663
    CHIaton aton . %mov:"20017"_843663_847971
    FAT*FAT: moo takemashita ka ? %mov:"20017"_847971_851336
    CHIn ? %mov:"20017"_851336_852367
    FATachui [: atsui] desu ka ? %mov:"20017"_852367_853504
  6. FATmotto . %mov:"20017"_886667_887198
    CHIjaa . %mov:"20017"_887198_889395
    FAT*FAT: moo nai ka ? %mov:"20017"_889395_890712
    CHIn ? %mov:"20017"_890712_891511
    FATmoo nai ? %mov:"20017"_891511_892077
  7. FATmoo nai ka ? %mov:"20017"_889395_890712
    CHIn ? %mov:"20017"_890712_891511
    FAT*FAT: moo nai ? %mov:"20017"_891511_892077
    CHIaai . %mov:"20017"_892077_893374
    FATmoo nai ? %mov:"20017"_893374_894442
  8. FATmoo nai ? %mov:"20017"_891511_892077
    CHIaai . %mov:"20017"_892077_893374
    FAT*FAT: moo nai ? %mov:"20017"_893374_894442
    CHIaai . %mov:"20017"_894442_895668
    FATmada aru ? %mov:"20017"_895668_896694
  9. CHIkowa # kowai yoo . %mov:"20017"_913498_913498
    CHIkowaii . %mov:"20017"_915557_916961
    FAT*FAT: n nna [: soredewa], moo kotchi yatto ko . %mov:"20017"_916961_918499
    FAThai . %mov:"20017"_918499_920226
    FATkoide [: korede] ii ? %mov:"20017"_920226_921667
  10. FATdekimashita ka ? %mov:"20017"_927177_930302
    CHIaye . %mov:"20017"_930302_931180
    FAT*FAT: moo inai . %mov:"20017"_931180_932022
    CHImienai . %mov:"20017"_932022_934518
    FATn ? %mov:"20017"_934518_936070
  11. FATmienai ? %mov:"20017"_937846_938671
    CHIhoa . %mov:"20017"_938671_939801
    FAT*FAT: moo inai . %mov:"20017"_939801_940510
    CHIn [>] ? %mov:"20017"_940510_942185
    FATitchatta [<] . %mov:"20017"_940510_942185
  12. CHIn ? %mov:"20017"_1103049_1104115
    FATippai haitta . %mov:"20017"_1104115_1105145
    FAT*FAT: moo nai ? %mov:"20017"_1105145_1108009
    FATnani,, kore ? %mov:"20017"_1108009_1113786
    CHIpaka . %mov:"20017"_1113786_1115470

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_ishii12.83
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/20017.chaJun 2;0.17935121212.83

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. moo12 · 100.0%