PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

7.02 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (291 utterances, 712 words searched).

  1. kore dare ya . %mov:"20029"_311322_312433 FAT · japanese_ishii/20029.cha, line 177 · Jun 2;00
  2. a, kore dare . %mov:"20029"_326704_328870 FAT · japanese_ishii/20029.cha, line 187 · Jun 2;00
  3. kore dare ? %mov:"20029"_351312_352356 FAT · japanese_ishii/20029.cha, line 204 · Jun 2;00
  4. kore dare ? %mov:"20029"_355084_356055 FAT · japanese_ishii/20029.cha, line 207 · Jun 2;00
  5. dare ? %mov:"20029"_373776_374936 FAT · japanese_ishii/20029.cha, line 220 · Jun 2;00
  1. japanese_ishii/20029.cha, line 177 · Jun, 2;0.29
    CHIaachan ya . %mov:"20029"_309069_310483
    FATaachan ka . %mov:"20029"_310483_311322
    FAT*FAT: kore dare ya . %mov:"20029"_311322_312433
    CHIojichan . %mov:"20029"_312433_313544
    FATojichan, fuun . %mov:"20029"_313544_315314
  2. japanese_ishii/20029.cha, line 187 · Jun, 2;0.29
    CHIkonkonkon xxx ka [>] ? %mov:"20029"_323625_326704
    FATun, soo ya [<] . %mov:"20029"_323625_326704
    FAT*FAT: a, kore dare . %mov:"20029"_326704_328870
    CHIobaachan . %mov:"20029"_328870_331616
    FATe ? %mov:"20029"_331616_332131
  3. japanese_ishii/20029.cha, line 204 · Jun, 2;0.29
    FATJunkun ka,, kore ? %mov:"20029"_348835_349782
    CHIoe a ? %mov:"20029"_349782_351312
    FAT*FAT: kore dare ? %mov:"20029"_351312_352356
    CHIdondondon ya . %mov:"20029"_352356_354242
    FATsore chigau wa . %mov:"20029"_354242_355084
  4. japanese_ishii/20029.cha, line 207 · Jun, 2;0.29
    CHIdondondon ya . %mov:"20029"_352356_354242
    FATsore chigau wa . %mov:"20029"_354242_355084
    FAT*FAT: kore dare ? %mov:"20029"_355084_356055
    FATJun [>] +... %mov:"20029"_356055_358460
    CHIa [<] ! %mov:"20029"_356055_358460
  5. japanese_ishii/20029.cha, line 220 · Jun, 2;0.29
    FATa # neechan ka,, kore ? %mov:"20029"_369510_372875
    CHIchuwa . %mov:"20029"_372875_373776
    FAT*FAT: dare ? %mov:"20029"_373776_374936
    FATneechan chigau no ? %mov:"20029"_374936_380244
    FATmoo koohii nai ka ? %mov:"20029"_380244_385087

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_ishii7.02
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/20029.chaJun 2;0.29712557.02

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. dare5 · 100.0%