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. yoi, yoi, me [: dame] ! %mov:"01004"_40669_42687 FAT · japanese_ishii/01004.cha, line 41 · Jun 0;10
  2. dame ! %mov:"01004"_42687_43624 FAT · japanese_ishii/01004.cha, line 42 · Jun 0;10
  3. dame ! %mov:"01004"_43624_44729 FAT · japanese_ishii/01004.cha, line 43 · Jun 0;10
  4. me [: dame] ! %mov:"01004"_50746_54327 FAT · japanese_ishii/01004.cha, line 47 · Jun 0;10
  5. me [: dame] ! %mov:"01004"_256688_264760 FAT · japanese_ishii/01004.cha, line 131 · Jun 0;10
  6. me [: dame] ! %mov:"01004"_264760_265954 FAT · japanese_ishii/01004.cha, line 132 · Jun 0;10
  7. sawattara me [: dame] . %mov:"01004"_265954_265954 FAT · japanese_ishii/01004.cha, line 134 · Jun 0;10
  8. me [: dame] ! %mov:"01004"_268210_271721 FAT · japanese_ishii/01004.cha, line 135 · Jun 0;10
  9. me [: dame] ! %mov:"01004"_271721_273423 FAT · japanese_ishii/01004.cha, line 137 · Jun 0;10
  10. sore (wa) dame . %mov:"01004"_404840_404840 FAT · japanese_ishii/01004.cha, line 180 · Jun 0;10
  1. japanese_ishii/01004.cha, line 41 · Jun, 0;10.04
    CHIe ! %mov:"01004"_34490_36675
    FATe ! %mov:"01004"_36675_37682
    FAT*FAT: yoi, yoi, me [: dame] ! %mov:"01004"_40669_42687
    FATdame ! %mov:"01004"_42687_43624
    FATdame ! %mov:"01004"_43624_44729
  2. japanese_ishii/01004.cha, line 42 · Jun, 0;10.04
    FATe ! %mov:"01004"_36675_37682
    FATyoi, yoi, me [: dame] ! %mov:"01004"_40669_42687
    FAT*FAT: dame ! %mov:"01004"_42687_43624
    FATdame ! %mov:"01004"_43624_44729
    FATuu ! %mov:"01004"_44729_49404
  3. japanese_ishii/01004.cha, line 43 · Jun, 0;10.04
    FATyoi, yoi, me [: dame] ! %mov:"01004"_40669_42687
    FATdame ! %mov:"01004"_42687_43624
    FAT*FAT: dame ! %mov:"01004"_43624_44729
    FATuu ! %mov:"01004"_44729_49404
    FATme [: dame] ! %mov:"01004"_50746_54327
  4. japanese_ishii/01004.cha, line 47 · Jun, 0;10.04
    FATdame ! %mov:"01004"_43624_44729
    FATuu ! %mov:"01004"_44729_49404
    FAT*FAT: me [: dame] ! %mov:"01004"_50746_54327
    FATa ! %mov:"01004"_54327_55527
    CHIa . %mov:"01004"_55527_55527
  5. japanese_ishii/01004.cha, line 131 · Jun, 0;10.04
    FATjooju [: jouzu] ya naa . %mov:"01004"_233265_236186
    FATdare ya [: da] . %mov:"01004"_251050_252019
    FAT*FAT: me [: dame] ! %mov:"01004"_256688_264760
    FATme [: dame] ! %mov:"01004"_264760_265954
    FATsawattara me [: dame] . %mov:"01004"_265954_265954
  6. japanese_ishii/01004.cha, line 132 · Jun, 0;10.04
    FATdare ya [: da] . %mov:"01004"_251050_252019
    FATme [: dame] ! %mov:"01004"_256688_264760
    FAT*FAT: me [: dame] ! %mov:"01004"_264760_265954
    FATsawattara me [: dame] . %mov:"01004"_265954_265954
    FATme [: dame] ! %mov:"01004"_268210_271721
  7. japanese_ishii/01004.cha, line 134 · Jun, 0;10.04
    FATme [: dame] ! %mov:"01004"_256688_264760
    FATme [: dame] ! %mov:"01004"_264760_265954
    FAT*FAT: sawattara me [: dame] . %mov:"01004"_265954_265954
    FATme [: dame] ! %mov:"01004"_268210_271721
    FATme [: dame] ! %mov:"01004"_271721_273423
  8. japanese_ishii/01004.cha, line 135 · Jun, 0;10.04
    FATme [: dame] ! %mov:"01004"_264760_265954
    FATsawattara me [: dame] . %mov:"01004"_265954_265954
    FAT*FAT: me [: dame] ! %mov:"01004"_268210_271721
    FATme [: dame] ! %mov:"01004"_271721_273423
    FATxxx . %mov:"01004"_273423_278068
  9. japanese_ishii/01004.cha, line 137 · Jun, 0;10.04
    FATsawattara me [: dame] . %mov:"01004"_265954_265954
    FATme [: dame] ! %mov:"01004"_268210_271721
    FAT*FAT: me [: dame] ! %mov:"01004"_271721_273423
    FATxxx . %mov:"01004"_273423_278068
    FATaa aa . %mov:"01004"_278068_279465
  10. japanese_ishii/01004.cha, line 180 · Jun, 0;10.04
    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

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. dame10 · 100.0%