PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

5.10 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (428 utterances, 981 words searched).

  1. aa [<] kowashitara dame desu yo . %mov:"20225"_500452_504902 FAT · japanese_ishii/20225.cha, line 312 · Jun 2;02
  2. kondo nan desu kaa ? %mov:"20225"_715557_716802 FAT · japanese_ishii/20225.cha, line 381 · Jun 2;02
  3. piipoo@o desu ka ? %mov:"20225"_718623_720407 FAT · japanese_ishii/20225.cha, line 383 · Jun 2;02
  4. patokaa desu ka ? %mov:"20225"_720407_722850 FAT · japanese_ishii/20225.cha, line 384 · Jun 2;02
  5. kono taiya doo desu ka ? %mov:"20225"_1373335_1376916 FAT · japanese_ishii/20225.cha, line 613 · Jun 2;02
  1. FATtaorechatta . %mov:"20225"_499451_500452
    CHIxxx [>] . %mov:"20225"_500452_504902
    FAT*FAT: aa [<] kowashitara dame desu yo . %mov:"20225"_500452_504902
    CHIxxx . %mov:"20225"_504902_505390
    FATaa aa ! %mov:"20225"_505390_506525
  2. CHIokii chiichai aeko yoo . %mov:"20225"_706788_714916
    FATee ? %mov:"20225"_714916_715557
    FAT*FAT: kondo nan desu kaa ? %mov:"20225"_715557_716802
    CHIiyaa . %mov:"20225"_716802_718623
    FATpiipoo@o desu ka ? %mov:"20225"_718623_720407
  3. FATkondo nan desu kaa ? %mov:"20225"_715557_716802
    CHIiyaa . %mov:"20225"_716802_718623
    FAT*FAT: piipoo@o desu ka ? %mov:"20225"_718623_720407
    FATpatokaa desu ka ? %mov:"20225"_720407_722850
    FATa, basu ga kimashitaa . %mov:"20225"_722850_726388
  4. CHIiyaa . %mov:"20225"_716802_718623
    FATpiipoo@o desu ka ? %mov:"20225"_718623_720407
    FAT*FAT: patokaa desu ka ? %mov:"20225"_720407_722850
    FATa, basu ga kimashitaa . %mov:"20225"_722850_726388
    FATbasu ga kimashitaa . %mov:"20225"_726388_730098
  5. FATsore wa ? %mov:"20225"_1369613_1372170
    FATtaiya daijoobudesu ka ? %mov:"20225"_1372170_1373335
    FAT*FAT: kono taiya doo desu ka ? %mov:"20225"_1373335_1376916
    FATkowaretemasu ka ? %mov:"20225"_1376916_1376916
    CHIxxx . %mov:"20225"_1379186_1385910

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_ishii5.10
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/20225.chaJun 2;2.25981555.10

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. desu5 · 100.0%