PHPCLANCHILDES with regular expressions

14 matches in 13 utterances

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

  1. chutchu@o [= bird] wa ? %mov:"10000"_12609_13312 FAT · japanese_ishii/10000.cha, line 20 · Jun 1;00
  2. chutchu@o wa ? %mov:"10000"_13312_14667 FAT · japanese_ishii/10000.cha, line 21 · Jun 1;00
  3. chutchu@o wa inai ka ? %mov:"10000"_15822_17938 FAT · japanese_ishii/10000.cha, line 23 · Jun 1;00
  4. iru ka,, chutchu@o . %mov:"10000"_87834_88858 FAT · japanese_ishii/10000.cha, line 53 · Jun 1;00
  5. chutchu@o inai ka ? %mov:"10000"_88858_91678 FAT · japanese_ishii/10000.cha, line 55 · Jun 1;00
  6. chutchu@o yo, chutchu imasen ka ? %mov:"10000"_91678_91678 FAT · japanese_ishii/10000.cha, line 56 · Jun 1;00
  7. chutchu@o yo, chutchu imasen ka ? %mov:"10000"_91678_91678 FAT · japanese_ishii/10000.cha, line 56 · Jun 1;00
  8. chutchu@o yoo tte yonde . %mov:"10000"_99582_100894 FAT · japanese_ishii/10000.cha, line 57 · Jun 1;00
  9. chutchu@o [= bird] yoo tte . %mov:"10000"_197359_201853 FAT · japanese_ishii/10000.cha, line 113 · Jun 1;00
  10. chutchu@o yoo . %mov:"10000"_201853_206282 FAT · japanese_ishii/10000.cha, line 114 · Jun 1;00
  11. chutchu@o [= bird] ya [: da] . %mov:"10000"_743721_744465 FAT · japanese_ishii/10000.cha, line 285 · Jun 1;00
  12. chutchu@o ita . %mov:"10000"_746953_747718 FAT · japanese_ishii/10000.cha, line 288 · Jun 1;00
  13. chutchu@o [= bird] yoo tte . %mov:"10000"_751688_753456 FAT · japanese_ishii/10000.cha, line 294 · Jun 1;00
  14. chutchu@o (ga) ita nee . %mov:"10000"_757000_758120 FAT · japanese_ishii/10000.cha, line 299 · Jun 1;00
  1. FATdare deshu [: desu] ka . %mov:"10000"_10350_11315
    FATwa ! %mov:"10000"_11315_12609
    FAT*FAT: chutchu@o [= bird] wa ? %mov:"10000"_12609_13312
    FATchutchu@o wa ? %mov:"10000"_13312_14667
    CHIaa . %mov:"10000"_14667_15822
  2. FATwa ! %mov:"10000"_11315_12609
    FATchutchu@o [= bird] wa ? %mov:"10000"_12609_13312
    FAT*FAT: chutchu@o wa ? %mov:"10000"_13312_14667
    CHIaa . %mov:"10000"_14667_15822
    FATchutchu@o wa inai ka ? %mov:"10000"_15822_17938
  3. FATchutchu@o wa ? %mov:"10000"_13312_14667
    CHIaa . %mov:"10000"_14667_15822
    FAT*FAT: chutchu@o wa inai ka ? %mov:"10000"_15822_17938
    CHIdya . %mov:"10000"_15822_19089
    FATun ? %mov:"10000"_19089_19713
  4. CHIjua . %mov:"10000"_85087_87069
    FATuun ? %mov:"10000"_87069_87834
    FAT*FAT: iru ka,, chutchu@o . %mov:"10000"_87834_88858
    FATchutchu@o inai ka ? %mov:"10000"_88858_91678
    FATchutchu@o yo, chutchu imasen ka ? %mov:"10000"_91678_91678
  5. FATuun ? %mov:"10000"_87069_87834
    FATiru ka,, chutchu@o . %mov:"10000"_87834_88858
    FAT*FAT: chutchu@o inai ka ? %mov:"10000"_88858_91678
    FATchutchu@o yo, chutchu imasen ka ? %mov:"10000"_91678_91678
    FATchutchu@o yoo tte yonde . %mov:"10000"_99582_100894
  6. FATiru ka,, chutchu@o . %mov:"10000"_87834_88858
    FATchutchu@o inai ka ? %mov:"10000"_88858_91678
    FAT*FAT: chutchu@o yo, chutchu imasen ka ? %mov:"10000"_91678_91678
    FATchutchu@o yoo tte yonde . %mov:"10000"_99582_100894
    FATwanwan@o wa ? %mov:"10000"_100894_101758
  7. FATchutchu@o inai ka ? %mov:"10000"_88858_91678
    FATchutchu@o yo, chutchu imasen ka ? %mov:"10000"_91678_91678
    FAT*FAT: chutchu@o yoo tte yonde . %mov:"10000"_99582_100894
    FATwanwan@o wa ? %mov:"10000"_100894_101758
    FATwanwan@o doko (ni) i <ta> [>] ? %mov:"10000"_101758_102764
  8. FATuun ? %mov:"10000"_188323_190040
    FATwanwan@o yoo tte . %mov:"10000"_194771_197359
    FAT*FAT: chutchu@o [= bird] yoo tte . %mov:"10000"_197359_201853
    FATchutchu@o yoo . %mov:"10000"_201853_206282
    FATwanwan@o yoo . %mov:"10000"_206282_207758
  9. FATwanwan@o yoo tte . %mov:"10000"_194771_197359
    FATchutchu@o [= bird] yoo tte . %mov:"10000"_197359_201853
    FAT*FAT: chutchu@o yoo . %mov:"10000"_201853_206282
    FATwanwan@o yoo . %mov:"10000"_206282_207758
    FATsore (wa) dame nano . %mov:"10000"_211989_213145
  10. CHIaa . %mov:"10000"_742351_742351
    FATa ! %mov:"10000"_743277_743721
    FAT*FAT: chutchu@o [= bird] ya [: da] . %mov:"10000"_743721_744465
    CHIaa . %mov:"10000"_744465_746281
    FATaa ! %mov:"10000"_746281_746953
  11. 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
  12. CHInnya . %mov:"10000"_749423_750988
    FATuun . %mov:"10000"_750988_751688
    FAT*FAT: chutchu@o [= bird] yoo tte . %mov:"10000"_751688_753456
    CHIoa . %mov:"10000"_753456_754472
    CHIao . %mov:"10000"_754472_755815
  13. 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_ishii29.91
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/10000.chaJun 1;0.01468131429.91

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. chutchu14 · 100.0%