PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

3.93 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (528 utterances, 1,271 words searched).

  1. konna toko [: tokoro] ikitai, Jun ? %mov:"20304"_740582_742197 FAT · japanese_ishii/20304.cha, line 428 · Jun 2;03
  2. konna oyama no toko ikitai ? %mov:"20304"_742197_745482 FAT · japanese_ishii/20304.cha, line 429 · Jun 2;03
  3. konna toko ikitai ? %mov:"20304"_1041318_1049370 FAT · japanese_ishii/20304.cha, line 634 · Jun 2;03
  4. konna toko ikitai ? %mov:"20304"_1051433_1052679 FAT · japanese_ishii/20304.cha, line 636 · Jun 2;03
  5. ikitai ? %mov:"20304"_1053915_1054666 FAT · japanese_ishii/20304.cha, line 638 · Jun 2;03
  1. FATuun ? %mov:"20304"_738481_739251
    CHInani ? %mov:"20304"_739251_740582
    FAT*FAT: konna toko [: tokoro] ikitai, Jun ? %mov:"20304"_740582_742197
    FATkonna oyama no toko ikitai ? %mov:"20304"_742197_745482
    CHIamano iitai . %mov:"20304"_745482_747875
  2. CHInani ? %mov:"20304"_739251_740582
    FATkonna toko [: tokoro] ikitai, Jun ? %mov:"20304"_740582_742197
    FAT*FAT: konna oyama no toko ikitai ? %mov:"20304"_742197_745482
    CHIamano iitai . %mov:"20304"_745482_747875
    FATe ? %mov:"20304"_747875_748581
  3. CHInee ? %mov:"20304"_1038325_1039182
    CHIxxx ne ? %mov:"20304"_1039182_1041318
    FAT*FAT: konna toko ikitai ? %mov:"20304"_1041318_1049370
    CHIn ? %mov:"20304"_1049370_1051433
    FATkonna toko ikitai ? %mov:"20304"_1051433_1052679
  4. FATkonna toko ikitai ? %mov:"20304"_1041318_1049370
    CHIn ? %mov:"20304"_1049370_1051433
    FAT*FAT: konna toko ikitai ? %mov:"20304"_1051433_1052679
    CHIiketai . %mov:"20304"_1052679_1052679
    FATikitai ? %mov:"20304"_1053915_1054666
  5. FATkonna toko ikitai ? %mov:"20304"_1051433_1052679
    CHIiketai . %mov:"20304"_1052679_1052679
    FAT*FAT: ikitai ? %mov:"20304"_1053915_1054666
    CHIikitai no . %mov:"20304"_1054666_1056244
    FATun, ikoo ka ,, Papa to . %mov:"20304"_1056244_1057948

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_ishii3.93
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/20304.chaJun 2;3.041,271553.93

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. ikitai5 · 100.0%