PHPCLANCHILDES with regular expressions

11 matches in 11 utterances

23.50 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (206 utterances, 468 words searched).

  1. a, sotchi ittara dame . %mov:"10000"_43398_45871 FAT · japanese_ishii/10000.cha, line 34 · Jun 1;00
  2. dame ! %mov:"10000"_45871_47352 FAT · japanese_ishii/10000.cha, line 36 · Jun 1;00
  3. me [: dame] ! %mov:"10000"_55794_56569 FAT · japanese_ishii/10000.cha, line 38 · Jun 1;00
  4. me [: dame] ! %mov:"10000"_58465_59444 FAT · japanese_ishii/10000.cha, line 39 · Jun 1;00
  5. konnan [: konnano] hippatara dame ya [: da] . %mov:"10000"_73251_75286 FAT · japanese_ishii/10000.cha, line 43 · Jun 1;00
  6. sore (wa) dame nano . %mov:"10000"_211989_213145 FAT · japanese_ishii/10000.cha, line 116 · Jun 1;00
  7. me [: dame] ! %mov:"10000"_336326_337490 FAT · japanese_ishii/10000.cha, line 185 · Jun 1;00
  8. me [: dame] ! %mov:"10000"_342969_343702 FAT · japanese_ishii/10000.cha, line 187 · Jun 1;00
  9. dame . %mov:"10000"_398575_401095 FAT · japanese_ishii/10000.cha, line 202 · Jun 1;00
  10. sotchi (e) ittara dame ya [: da] . %mov:"10000"_861746_863153 FAT · japanese_ishii/10000.cha, line 381 · Jun 1;00
  11. sotchi wa dame ya [: da] . %mov:"10000"_863153_865319 FAT · japanese_ishii/10000.cha, line 382 · Jun 1;00
  1. FATnani ga . %mov:"10000"_38069_39747
    FATnani ga iru no ? %mov:"10000"_39747_43398
    FAT*FAT: a, sotchi ittara dame . %mov:"10000"_43398_45871
    FATdame ! %mov:"10000"_45871_47352
    FATme [: dame] ! %mov:"10000"_55794_56569
  2. FATnani ga iru no ? %mov:"10000"_39747_43398
    FATa, sotchi ittara dame . %mov:"10000"_43398_45871
    FAT*FAT: dame ! %mov:"10000"_45871_47352
    FATme [: dame] ! %mov:"10000"_55794_56569
    FATme [: dame] ! %mov:"10000"_58465_59444
  3. FATa, sotchi ittara dame . %mov:"10000"_43398_45871
    FATdame ! %mov:"10000"_45871_47352
    FAT*FAT: me [: dame] ! %mov:"10000"_55794_56569
    FATme [: dame] ! %mov:"10000"_58465_59444
    FATyoisho ! %mov:"10000"_69492_70805
  4. FATdame ! %mov:"10000"_45871_47352
    FATme [: dame] ! %mov:"10000"_55794_56569
    FAT*FAT: me [: dame] ! %mov:"10000"_58465_59444
    FATyoisho ! %mov:"10000"_69492_70805
    FATaa aa . %mov:"10000"_70805_73251
  5. FATyoisho ! %mov:"10000"_69492_70805
    FATaa aa . %mov:"10000"_70805_73251
    FAT*FAT: konnan [: konnano] hippatara dame ya [: da] . %mov:"10000"_73251_75286
    FATun ? %mov:"10000"_75286_76359
    FATyoisho . %mov:"10000"_76359_79510
  6. FATchutchu@o yoo . %mov:"10000"_201853_206282
    FATwanwan@o yoo . %mov:"10000"_206282_207758
    FAT*FAT: sore (wa) dame nano . %mov:"10000"_211989_213145
    FATa, Oniichan ita . %mov:"10000"_213145_214029
    FATOniichan wa ? %mov:"10000"_214029_214697
  7. FATdare ga yabutta no . %mov:"10000"_334266_335306
    FATkora ! %mov:"10000"_335306_336326
    FAT*FAT: me [: dame] ! %mov:"10000"_336326_337490
    FATme [: dame] ! %mov:"10000"_342969_343702
    FATdare ya [: da] ! %mov:"10000"_347375_348845
  8. FATkora ! %mov:"10000"_335306_336326
    FATme [: dame] ! %mov:"10000"_336326_337490
    FAT*FAT: me [: dame] ! %mov:"10000"_342969_343702
    FATdare ya [: da] ! %mov:"10000"_347375_348845
    CHIdayaaoo . %mov:"10000"_354072_355694
  9. FATn ? %mov:"10000"_377505_379247
    FATaa ? %mov:"10000"_386183_391736
    FAT*FAT: dame . %mov:"10000"_398575_401095
    FATJunkun . %mov:"10000"_401095_402850
    FATa ? %mov:"10000"_409341_410211
  10. FATare (o) aa aa shita no ? %mov:"10000"_857567_858760
    FATano ohana (o) aa aa shita no . %mov:"10000"_858760_861746
    FAT*FAT: sotchi (e) ittara dame ya [: da] . %mov:"10000"_861746_863153
    FATsotchi wa dame ya [: da] . %mov:"10000"_863153_865319
    CHIwaawaa . %mov:"10000"_865319_866646
  11. FATano ohana (o) aa aa shita no . %mov:"10000"_858760_861746
    FATsotchi (e) ittara dame ya [: da] . %mov:"10000"_861746_863153
    FAT*FAT: sotchi wa dame ya [: da] . %mov:"10000"_863153_865319
    CHIwaawaa . %mov:"10000"_865319_866646
    CHInnya . %mov:"10000"_866646_867938

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_ishii23.50
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/10000.chaJun 1;0.01468111123.50

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. dame11 · 100.0%