PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

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

  1. dare ya [: da] . %mov:"01004"_157317_160531 FAT · japanese_ishii/01004.cha, line 93 · Jun 0;10
  2. dare ya [: da] . %mov:"01004"_251050_252019 FAT · japanese_ishii/01004.cha, line 128 · Jun 0;10
  3. a, dare ka yahan [: iru] no . %mov:"01004"_647033_649332 FAT · japanese_ishii/01004.cha, line 292 · Jun 0;10
  4. dare ka na . %mov:"01004"_649332_650972 FAT · japanese_ishii/01004.cha, line 293 · Jun 0;10
  5. a, dare ya [: da] . %mov:"01004"_734218_736097 FAT · japanese_ishii/01004.cha, line 323 · Jun 0;10
  1. CHIeija . %mov:"01004"_150863_156483
    FATee . %mov:"01004"_156483_157317
    FAT*FAT: dare ya [: da] . %mov:"01004"_157317_160531
    CHIneiya . %mov:"01004"_160531_162759
    FATxxx . %mov:"01004"_162759_163452
  2. FATaa, joozu ya [: da] naa . %mov:"01004"_231866_233265
    FATjooju [: jouzu] ya naa . %mov:"01004"_233265_236186
    FAT*FAT: dare ya [: da] . %mov:"01004"_251050_252019
    FATme [: dame] ! %mov:"01004"_256688_264760
    FATme [: dame] ! %mov:"01004"_264760_265954
  3. FATxxx . %mov:"01004"_640690_642310
    FATnani ga mieten [: mieteiru] no ? %mov:"01004"_642310_647033
    FAT*FAT: a, dare ka yahan [: iru] no . %mov:"01004"_647033_649332
    FATdare ka na . %mov:"01004"_649332_650972
    FATe joojujooju [: jouzu] [>] . %mov:"01004"_650972_659000
  4. FATnani ga mieten [: mieteiru] no ? %mov:"01004"_642310_647033
    FATa, dare ka yahan [: iru] no . %mov:"01004"_647033_649332
    FAT*FAT: dare ka na . %mov:"01004"_649332_650972
    FATe joojujooju [: jouzu] [>] . %mov:"01004"_650972_659000
    CHIuujeje [<] . %mov:"01004"_650972_659000
  5. FATaa ? %mov:"01004"_698583_714837
    CHIufufu . %mov:"01004"_714837_719763
    FAT*FAT: a, dare ya [: da] . %mov:"01004"_734218_736097
    FATdokkoishoo . %mov:"01004"_738464_746585
    FATa, joozujoozu . %mov:"01004"_749813_754693

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_ishii14.37
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/01004.chaJun 0;10.043485514.37

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%