PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

14.96 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (206 utterances, 468 words searched).

  1. wanwan@o doko (ni) ita ? %mov:"10000"_104177_105109 FAT · japanese_ishii/10000.cha, line 62 · Jun 1;00
  2. wanwan@o doko ni ita no ? %mov:"10000"_111915_114180 FAT · japanese_ishii/10000.cha, line 69 · Jun 1;00
  3. wanwan@o asoko ni ita deshoo, wanwan . %mov:"10000"_145244_147680 FAT · japanese_ishii/10000.cha, line 88 · Jun 1;00
  4. un, wanwan@o asoko (ni) ita deshoo . %mov:"10000"_149135_150625 FAT · japanese_ishii/10000.cha, line 91 · Jun 1;00
  5. a, Oniichan ita . %mov:"10000"_213145_214029 FAT · japanese_ishii/10000.cha, line 118 · Jun 1;00
  6. chutchu@o ita . %mov:"10000"_746953_747718 FAT · japanese_ishii/10000.cha, line 288 · Jun 1;00
  7. chutchu@o (ga) ita nee . %mov:"10000"_757000_758120 FAT · japanese_ishii/10000.cha, line 299 · Jun 1;00
  1. CHIxxx [<] . %mov:"10000"_101758_102764
    CHIua . %mov:"10000"_102764_104177
    FAT*FAT: wanwan@o doko (ni) ita ? %mov:"10000"_104177_105109
    CHIu . %mov:"10000"_105109_106233
    CHIuu [>] . %mov:"10000"_106233_108519
  2. FATwanwan@o [<] nennee shiteta nee . %mov:"10000"_108519_110174
    FATun ? %mov:"10000"_110174_111915
    FAT*FAT: wanwan@o doko ni ita no ? %mov:"10000"_111915_114180
    CHIxxx [>] . %mov:"10000"_117920_119223
    FATdore [<] . %mov:"10000"_117920_119223
  3. CHIahya . %mov:"10000"_142863_144555
    FATuun ? %mov:"10000"_144555_145244
    FAT*FAT: wanwan@o asoko ni ita deshoo, wanwan . %mov:"10000"_145244_147680
    CHIha . %mov:"10000"_147680_149135
    FATun, wanwan@o asoko (ni) ita deshoo . %mov:"10000"_149135_150625
  4. FATwanwan@o asoko ni ita deshoo, wanwan . %mov:"10000"_145244_147680
    CHIha . %mov:"10000"_147680_149135
    FAT*FAT: un, wanwan@o asoko (ni) ita deshoo . %mov:"10000"_149135_150625
    FATwanwan@o nennee shiteta deshoo . %mov:"10000"_150625_152847
    FATun ? %mov:"10000"_152847_154282
  5. FATwanwan@o yoo . %mov:"10000"_206282_207758
    FATsore (wa) dame nano . %mov:"10000"_211989_213145
    FAT*FAT: a, Oniichan ita . %mov:"10000"_213145_214029
    FATOniichan wa ? %mov:"10000"_214029_214697
    FATOniichaan ! %mov:"10000"_214697_215560
  6. CHIaa . %mov:"10000"_744465_746281
    FATaa ! %mov:"10000"_746281_746953
    FAT*FAT: chutchu@o ita . %mov:"10000"_746953_747718
    CHIaa . %mov:"10000"_747718_748841
    FATaa . %mov:"10000"_748841_749423
  7. FATuun . %mov:"10000"_755815_756479
    CHIoa . %mov:"10000"_756479_757000
    FAT*FAT: chutchu@o (ga) ita nee . %mov:"10000"_757000_758120
    CHIongyuyatta . %mov:"10000"_758120_759548
    CHIojayoo ! %mov:"10000"_758120_759548

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_ishii14.96
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/10000.chaJun 1;0.014687714.96

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. ita7 · 100.0%