PHPCLANCHILDES with regular expressions

11 matches in 11 utterances

31.61 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (212 utterances, 348 words searched).

  1. wa ! %mov:"01004"_92220_97181 FAT · japanese_ishii/01004.cha, line 63 · Jun 0;10
  2. Jun, kore wa ? %mov:"01004"_176528_179702 FAT · japanese_ishii/01004.cha, line 103 · Jun 0;10
  3. sore (wa) dame . %mov:"01004"_404840_404840 FAT · japanese_ishii/01004.cha, line 180 · Jun 0;10
  4. pachipachi@o wa ? %mov:"01004"_593620_595005 FAT · japanese_ishii/01004.cha, line 257 · Jun 0;10
  5. nanda ,, sore wa . %mov:"01004"_845701_846773 FAT · japanese_ishii/01004.cha, line 377 · Jun 0;10
  6. achichi wa ? %mov:"01004"_850485_851436 FAT · japanese_ishii/01004.cha, line 381 · Jun 0;10
  7. achichii wa ? %mov:"01004"_865206_866211 FAT · japanese_ishii/01004.cha, line 390 · Jun 0;10
  8. chuchuu@o [= bird] wa doko ? %mov:"01004"_869150_871523 FAT · japanese_ishii/01004.cha, line 393 · Jun 0;10
  9. chuchuu@o wa doko ? %mov:"01004"_871523_874569 FAT · japanese_ishii/01004.cha, line 396 · Jun 0;10
  10. chutchuu@o wa ? %mov:"01004"_882606_884074 FAT · japanese_ishii/01004.cha, line 400 · Jun 0;10
  11. chuchuu@o wa ? %mov:"01004"_889881_892305 FAT · japanese_ishii/01004.cha, line 405 · Jun 0;10
  1. CHIa . %mov:"01004"_85574_91450
    FATxxx . %mov:"01004"_91450_92220
    FAT*FAT: wa ! %mov:"01004"_92220_97181
    FAThai, iku yo . %mov:"01004"_97181_103439
    FATpoi . %mov:"01004"_103439_104128
  2. FATu a . %mov:"01004"_167391_172533
    FATo, joojujoojujoojujoojujoojujoojujoojuu [: jouzu] . %mov:"01004"_172533_176528
    FAT*FAT: Jun, kore wa ? %mov:"01004"_176528_179702
    FATxxx . %mov:"01004"_179702_180383
    FATei ! %mov:"01004"_180383_182071
  3. FATu ? %mov:"01004"_394359_395060
    CHIaaiye . %mov:"01004"_403634_404840
    FAT*FAT: sore (wa) dame . %mov:"01004"_404840_404840
    FATdamee . %mov:"01004"_411924_413860
    FAThai, iku yoo . %mov:"01004"_418746_423137
  4. FATa, joojujoojujoojujooju [: jouzu] [>] . %mov:"01004"_586431_593620
    CHIaanide [<] . %mov:"01004"_586431_593620
    FAT*FAT: pachipachi@o wa ? %mov:"01004"_593620_595005
    CHIihe . %mov:"01004"_595005_595661
    CHIide ! %mov:"01004"_595661_597632
  5. FATee ? %mov:"01004"_839745_843035
    CHIaarunyaa . %mov:"01004"_843035_845701
    FAT*FAT: nanda ,, sore wa . %mov:"01004"_845701_846773
    CHIaa ? %mov:"01004"_846773_848476
    FATachichii [= fire] chigau ka ? %mov:"01004"_848476_849400
  6. FATachichii [= fire] chigau ka ? %mov:"01004"_848476_849400
    CHIahaan . %mov:"01004"_849400_850485
    FAT*FAT: achichi wa ? %mov:"01004"_850485_851436
    FATe ? %mov:"01004"_851436_853708
    CHIaanyei . %mov:"01004"_853708_855398
  7. CHIyeyee [>] . %mov:"01004"_861577_865206
    FATachichii [<] . %mov:"01004"_861577_865206
    FAT*FAT: achichii wa ? %mov:"01004"_865206_866211
    FATachichi nai ? %mov:"01004"_866211_869150
    FATchuchuu@o [= bird] wa doko ? %mov:"01004"_869150_871523
  8. FATachichii wa ? %mov:"01004"_865206_866211
    FATachichi nai ? %mov:"01004"_866211_869150
    FAT*FAT: chuchuu@o [= bird] wa doko ? %mov:"01004"_869150_871523
    FATchuchuu@o wa doko ? %mov:"01004"_871523_874569
    FATuu uua . %mov:"01004"_874569_877507
  9. FATachichi nai ? %mov:"01004"_866211_869150
    FATchuchuu@o [= bird] wa doko ? %mov:"01004"_869150_871523
    FAT*FAT: chuchuu@o wa doko ? %mov:"01004"_871523_874569
    FATuu uua . %mov:"01004"_874569_877507
    FATchutchuu@o wa ? %mov:"01004"_882606_884074
  10. FATchuchuu@o wa doko ? %mov:"01004"_871523_874569
    FATuu uua . %mov:"01004"_874569_877507
    FAT*FAT: chutchuu@o wa ? %mov:"01004"_882606_884074
    FATchutchuchutchuu@o inai ka ? %mov:"01004"_884074_887249
    CHIidei . %mov:"01004"_887249_889377
  11. CHIidei . %mov:"01004"_887249_889377
    FATe ? %mov:"01004"_889377_889881
    FAT*FAT: chuchuu@o wa ? %mov:"01004"_889881_892305
    FATwoo ! %mov:"01004"_892305_894120
    FATe ? %mov:"01004"_894120_901403

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_ishii31.61
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/01004.chaJun 0;10.04348111131.61

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. wa11 · 100.0%