PHPCLANCHILDES with regular expressions

12 matches in 11 utterances

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

  1. wanwan@o wa ? %mov:"10000"_100894_101758 FAT · japanese_ishii/10000.cha, line 58 · Jun 1;00
  2. wanwan@o doko (ni) i <ta> [>] ? %mov:"10000"_101758_102764 FAT · japanese_ishii/10000.cha, line 59 · Jun 1;00
  3. wanwan@o doko (ni) ita ? %mov:"10000"_104177_105109 FAT · japanese_ishii/10000.cha, line 62 · Jun 1;00
  4. wanwan@o [<] nennee shiteta nee . %mov:"10000"_108519_110174 FAT · japanese_ishii/10000.cha, line 66 · Jun 1;00
  5. wanwan@o doko ni ita no ? %mov:"10000"_111915_114180 FAT · japanese_ishii/10000.cha, line 69 · Jun 1;00
  6. wanwan@o asoko ni ita deshoo, wanwan . %mov:"10000"_145244_147680 FAT · japanese_ishii/10000.cha, line 88 · Jun 1;00
  7. wanwan@o asoko ni ita deshoo, wanwan . %mov:"10000"_145244_147680 FAT · japanese_ishii/10000.cha, line 88 · Jun 1;00
  8. un, wanwan@o asoko (ni) ita deshoo . %mov:"10000"_149135_150625 FAT · japanese_ishii/10000.cha, line 91 · Jun 1;00
  9. wanwan@o nennee shiteta deshoo . %mov:"10000"_150625_152847 FAT · japanese_ishii/10000.cha, line 92 · Jun 1;00
  10. wanwan@o nennee shiteta desho . %mov:"10000"_154282_157308 FAT · japanese_ishii/10000.cha, line 94 · Jun 1;00
  11. wanwan@o yoo tte . %mov:"10000"_194771_197359 FAT · japanese_ishii/10000.cha, line 110 · Jun 1;00
  12. wanwan@o yoo . %mov:"10000"_206282_207758 FAT · japanese_ishii/10000.cha, line 115 · Jun 1;00
  1. FATchutchu@o yo, chutchu imasen ka ? %mov:"10000"_91678_91678
    FATchutchu@o yoo tte yonde . %mov:"10000"_99582_100894
    FAT*FAT: wanwan@o wa ? %mov:"10000"_100894_101758
    FATwanwan@o doko (ni) i <ta> [>] ? %mov:"10000"_101758_102764
    CHIxxx [<] . %mov:"10000"_101758_102764
  2. FATchutchu@o yoo tte yonde . %mov:"10000"_99582_100894
    FATwanwan@o wa ? %mov:"10000"_100894_101758
    FAT*FAT: wanwan@o doko (ni) i <ta> [>] ? %mov:"10000"_101758_102764
    CHIxxx [<] . %mov:"10000"_101758_102764
    CHIua . %mov:"10000"_102764_104177
  3. 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
  4. CHIu . %mov:"10000"_105109_106233
    CHIuu [>] . %mov:"10000"_106233_108519
    FAT*FAT: wanwan@o [<] nennee shiteta nee . %mov:"10000"_108519_110174
    FATun ? %mov:"10000"_110174_111915
    FATwanwan@o doko ni ita no ? %mov:"10000"_111915_114180
  5. 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
  6. 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
  7. 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
  8. CHIha . %mov:"10000"_147680_149135
    FATun, wanwan@o asoko (ni) ita deshoo . %mov:"10000"_149135_150625
    FAT*FAT: wanwan@o nennee shiteta deshoo . %mov:"10000"_150625_152847
    FATun ? %mov:"10000"_152847_154282
    FATwanwan@o nennee shiteta desho . %mov:"10000"_154282_157308
  9. FATwanwan@o nennee shiteta deshoo . %mov:"10000"_150625_152847
    FATun ? %mov:"10000"_152847_154282
    FAT*FAT: wanwan@o nennee shiteta desho . %mov:"10000"_154282_157308
    CHIuwaashua . %mov:"10000"_160436_165752
    FATee ? %mov:"10000"_165752_166353
  10. FATaketari shimetari shitara aitataa suru yo . %mov:"10000"_185713_188323
    FATuun ? %mov:"10000"_188323_190040
    FAT*FAT: wanwan@o yoo tte . %mov:"10000"_194771_197359
    FATchutchu@o [= bird] yoo tte . %mov:"10000"_197359_201853
    FATchutchu@o yoo . %mov:"10000"_201853_206282
  11. FATchutchu@o [= bird] yoo tte . %mov:"10000"_197359_201853
    FATchutchu@o yoo . %mov:"10000"_201853_206282
    FAT*FAT: wanwan@o yoo . %mov:"10000"_206282_207758
    FATsore (wa) dame nano . %mov:"10000"_211989_213145
    FATa, Oniichan ita . %mov:"10000"_213145_214029

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_ishii25.64
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/10000.chaJun 1;0.01468111225.64

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. wanwan12 · 100.0%