PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

2.97 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (688 utterances, 1,682 words searched).

  1. jidoosha mieteru ? %mov:"20706"_185277_186260 FAT · japanese_ishii/20706.cha, line 106 · Jun 2;07
  2. jidoosha tobanai zoo . %mov:"20706"_312823_314387 FAT · japanese_ishii/20706.cha, line 188 · Jun 2;07
  3. atarashii jidoosha doko yata ? %mov:"20706"_928196_930877 FAT · japanese_ishii/20706.cha, line 490 · Jun 2;07
  4. jidoosha . %mov:"20706"_2701260_2701882 FAT · japanese_ishii/20706.cha, line 1148 · Jun 2;07
  5. osooji no jidoosha . %mov:"20706"_2745085_2745995 FAT · japanese_ishii/20706.cha, line 1177 · Jun 2;07
  1. CHIosuna tottekaeru . %mov:"20706"_180370_182733
    CHIjidoosha mieteru wa . %mov:"20706"_182733_185277
    FAT*FAT: jidoosha mieteru ? %mov:"20706"_185277_186260
    FATdoko ni . %mov:"20706"_186260_186898
    CHIhora . %mov:"20706"_186898_187712
  2. CHIdensha tonda de . %mov:"20706"_306525_311816
    CHIhoraa . %mov:"20706"_311816_312823
    FAT*FAT: jidoosha tobanai zoo . %mov:"20706"_312823_314387
    CHItoberu . %mov:"20706"_314387_315821
    CHIhikooki toberu wa . %mov:"20706"_315821_317252
  3. FATun, hashiru . %mov:"20706"_925407_926534
    CHIpoon@o ! %mov:"20706"_926534_928196
    FAT*FAT: atarashii jidoosha doko yata ? %mov:"20706"_928196_930877
    CHIatarashii no . %mov:"20706"_930877_932347
    FATun . %mov:"20706"_932347_932992
  4. CHIkore wa ? %mov:"20706"_2699097_2699813
    CHIbasu # jidoosha . %mov:"20706"_2699813_2699813
    FAT*FAT: jidoosha . %mov:"20706"_2701260_2701882
    CHIbasu . %mov:"20706"_2701882_2702377
    FATbasu . %mov:"20706"_2702377_2703078
  5. CHIkore wa ? %mov:"20706"_2743605_2744191
    CHIojooji [: osooji] . %mov:"20706"_2744191_2745085
    FAT*FAT: osooji no jidoosha . %mov:"20706"_2745085_2745995
    FATkore wa ? %mov:"20706"_2745995_2746439
    CHIkore wa ? %mov:"20706"_2746439_2748367

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_ishii2.97
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/20706.chaJun 2;7.061,682552.97

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. jidoosha5 · 100.0%