PHPCLANCHILDES with regular expressions

10 matches in 10 utterances

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

  1. e ! %mov:"01004"_36675_37682 FAT · japanese_ishii/01004.cha, line 40 · Jun 0;10
  2. e . %mov:"01004"_107446_108070 FAT · japanese_ishii/01004.cha, line 70 · Jun 0;10
  3. e hora . %mov:"01004"_201208_204677 FAT · japanese_ishii/01004.cha, line 114 · Jun 0;10
  4. e@o (o) shite . %mov:"01004"_204677_205470 FAT · japanese_ishii/01004.cha, line 115 · Jun 0;10
  5. e joojujooju [: jouzu] [>] . %mov:"01004"_650972_659000 FAT · japanese_ishii/01004.cha, line 295 · Jun 0;10
  6. doko (e) iku no . %mov:"01004"_670047_672328 FAT · japanese_ishii/01004.cha, line 303 · Jun 0;10
  7. e ? %mov:"01004"_851436_853708 FAT · japanese_ishii/01004.cha, line 383 · Jun 0;10
  8. e ? %mov:"01004"_858269_861577 FAT · japanese_ishii/01004.cha, line 386 · Jun 0;10
  9. e ? %mov:"01004"_889377_889881 FAT · japanese_ishii/01004.cha, line 404 · Jun 0;10
  10. e ? %mov:"01004"_894120_901403 FAT · japanese_ishii/01004.cha, line 408 · Jun 0;10
  1. japanese_ishii/01004.cha, line 40 · Jun, 0;10.04
    FATaa ? %mov:"01004"_31943_31943
    CHIe ! %mov:"01004"_34490_36675
    FAT*FAT: e ! %mov:"01004"_36675_37682
    FATyoi, yoi, me [: dame] ! %mov:"01004"_40669_42687
    FATdame ! %mov:"01004"_42687_43624
  2. japanese_ishii/01004.cha, line 70 · Jun, 0;10.04
    CHIaaa . %mov:"01004"_104128_106424
    FATyoisho . %mov:"01004"_106424_107446
    FAT*FAT: e . %mov:"01004"_107446_108070
    FAThai . %mov:"01004"_108070_112747
    FATpoi shite, poi . %mov:"01004"_112747_114290
  3. japanese_ishii/01004.cha, line 114 · Jun, 0;10.04
    FATkore ageyo . %mov:"01004"_198169_198984
    FATkore ageyo . %mov:"01004"_198984_201208
    FAT*FAT: e hora . %mov:"01004"_201208_204677
    FATe@o (o) shite . %mov:"01004"_204677_205470
    FATei . %mov:"01004"_205470_207475
  4. japanese_ishii/01004.cha, line 115 · Jun, 0;10.04
    FATkore ageyo . %mov:"01004"_198984_201208
    FATe hora . %mov:"01004"_201208_204677
    FAT*FAT: e@o (o) shite . %mov:"01004"_204677_205470
    FATei . %mov:"01004"_205470_207475
    FATa ! %mov:"01004"_216875_219566
  5. japanese_ishii/01004.cha, line 295 · Jun, 0;10.04
    FATa, dare ka yahan [: iru] no . %mov:"01004"_647033_649332
    FATdare ka na . %mov:"01004"_649332_650972
    FAT*FAT: e joojujooju [: jouzu] [>] . %mov:"01004"_650972_659000
    CHIuujeje [<] . %mov:"01004"_650972_659000
    FATxxx tatchitatchii . %mov:"01004"_659000_660441
  6. japanese_ishii/01004.cha, line 303 · Jun, 0;10.04
    FATdoko iku no . %mov:"01004"_664342_667241
    FATyoisho ! %mov:"01004"_667241_670047
    FAT*FAT: doko (e) iku no . %mov:"01004"_670047_672328
    FATyoishoo . %mov:"01004"_672328_676040
    FATo ! %mov:"01004"_676040_676040
  7. japanese_ishii/01004.cha, line 383 · Jun, 0;10.04
    CHIahaan . %mov:"01004"_849400_850485
    FATachichi wa ? %mov:"01004"_850485_851436
    FAT*FAT: e ? %mov:"01004"_851436_853708
    CHIaanyei . %mov:"01004"_853708_855398
    FATachichi ka ,, sore . %mov:"01004"_855398_858269
  8. japanese_ishii/01004.cha, line 386 · Jun, 0;10.04
    CHIaanyei . %mov:"01004"_853708_855398
    FATachichi ka ,, sore . %mov:"01004"_855398_858269
    FAT*FAT: e ? %mov:"01004"_858269_861577
    CHIyeyee [>] . %mov:"01004"_861577_865206
    FATachichii [<] . %mov:"01004"_861577_865206
  9. japanese_ishii/01004.cha, line 404 · Jun, 0;10.04
    FATchutchuchutchuu@o inai ka ? %mov:"01004"_884074_887249
    CHIidei . %mov:"01004"_887249_889377
    FAT*FAT: e ? %mov:"01004"_889377_889881
    FATchuchuu@o wa ? %mov:"01004"_889881_892305
    FATwoo ! %mov:"01004"_892305_894120
  10. japanese_ishii/01004.cha, line 408 · Jun, 0;10.04
    FATchuchuu@o wa ? %mov:"01004"_889881_892305
    FATwoo ! %mov:"01004"_892305_894120
    FAT*FAT: e ? %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_ishii28.74
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/01004.chaJun 0;10.04348101028.74

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. e10 · 100.0%