PHPCLANCHILDES with regular expressions

5 matches in 4 utterances

2.64 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (707 utterances, 1,893 words searched).

  1. kon nan motte ta,, kon na Foodo ? %mov:"30119"_1009637_1012081 FAT · japanese_ishii/30119.cha, line 393 · Jun 3;01
  2. kon nan motte ta,, kon na Foodo ? %mov:"30119"_1009637_1012081 FAT · japanese_ishii/30119.cha, line 393 · Jun 3;01
  3. kon nan shiran wa,, Otoosan . %mov:"30119"_1012081_1015450 FAT · japanese_ishii/30119.cha, line 394 · Jun 3;01
  4. kon nan mae kara atta ka ? %mov:"30119"_1019267_1020498 FAT · japanese_ishii/30119.cha, line 399 · Jun 3;01
  5. kon [: kono] naka chau ka . %mov:"30119"_2878768_2880839 FAT · japanese_ishii/30119.cha, line 1327 · Jun 3;01
  1. japanese_ishii/30119.cha, line 393 · Jun, 3;1.19
    CHIHaieesu . %mov:"30119"_1001573_1002755
    FATFoodo ka . %mov:"30119"_1001573_1009637
    FAT*FAT: kon nan motte ta,, kon na Foodo ? %mov:"30119"_1009637_1012081
    FATkon nan shiran wa,, Otoosan . %mov:"30119"_1012081_1015450
    CHIFoodo ? %mov:"30119"_1015450_1016116
  2. japanese_ishii/30119.cha, line 394 · Jun, 3;1.19
    FATFoodo ka . %mov:"30119"_1001573_1009637
    FATkon nan motte ta,, kon na Foodo ? %mov:"30119"_1009637_1012081
    FAT*FAT: kon nan shiran wa,, Otoosan . %mov:"30119"_1012081_1015450
    CHIFoodo ? %mov:"30119"_1015450_1016116
    FATun . %mov:"30119"_1016116_1016804
  3. japanese_ishii/30119.cha, line 399 · Jun, 3;1.19
    CHIFoodo motteta . %mov:"30119"_1016804_1018388
    FATmotteta ka,, kore . %mov:"30119"_1018388_1019267
    FAT*FAT: kon nan mae kara atta ka ? %mov:"30119"_1019267_1020498
    CHIun . %mov:"30119"_1020498_1021784
    FATfuun . %mov:"30119"_1021784_1022979
  4. japanese_ishii/30119.cha, line 1327 · Jun, 3;1.19
    FATdoko itta n ya . %mov:"30119"_2867972_2874384
    FATHaieesu nai . %mov:"30119"_2874384_2878768
    FAT*FAT: kon [: kono] naka chau ka . %mov:"30119"_2878768_2880839
    CHIxxx ! %mov:"30119"_2880839_2882079
    FATatta . %mov:"30119"_2882079_2882707

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_ishii2.64
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/30119.chaJun 3;1.191,893452.64

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. kon5 · 100.0%