PHPCLANCHILDES with regular expressions

4 matches in 4 utterances

3.44 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (386 utterances, 1,163 words searched).

  1. takusan taiya ga nai to na, yuki ga ippai ya kara . %mov:"30524"_850276_853216 FAT · japanese_ishii/30524.cha, line 475 · Jun 3;05
  2. taiya [<] no shita ni sukii ga tsuiten nya,, konna fuu ni . %mov:"30524"_1… FAT · japanese_ishii/30524.cha, line 577 · Jun 3;05
  3. un, taiya attatte akan de . %mov:"30524"_1052823_1054299 FAT · japanese_ishii/30524.cha, line 584 · Jun 3;05
  4. kono taiya no shita ni sukii ga tuiten ne . %mov:"30524"_1054299_1056527 FAT · japanese_ishii/30524.cha, line 585 · Jun 3;05
  1. FATe [>] ? %mov:"30524"_849133_850276
    CHIkore [<] . %mov:"30524"_849133_850276
    FAT*FAT: takusan taiya ga nai to na, yuki ga ippai ya kara . %mov:"30524"_850276_853216
    CHIhora, konna yuki ? %mov:"30524"_853216_859882
    CHIkonna yuki ga # tooku e tobashitemin [: tobashitemiru] nya . %mov:"30524"_859882_863260
  2. FATkore ya, hore, mieteru yaro ? %mov:"30524"_1037069_1038640
    CHIun [>] . %mov:"30524"_1038640_1041778
    FAT*FAT: taiya [<] no shita ni sukii ga tsuiten nya,, konna fuu ni . %mov:"30524"_1038640_1041778
    FATna ? %mov:"30524"_1041778_1043478
    FATsoyakara [: dakara] # yuki no ue demo +... %mov:"30524"_1043478_1047255
  3. FATtoberu, un . %mov:"30524"_1049771_1050695
    CHItaiya attara toben no ? %mov:"30524"_1050695_1052823
    FAT*FAT: un, taiya attatte akan de . %mov:"30524"_1052823_1054299
    FATkono taiya no shita ni sukii ga tuiten ne . %mov:"30524"_1054299_1056527
    FATchotto miehen kedo, konna yatte na ? %mov:"30524"_1056527_1058869
  4. CHItaiya attara toben no ? %mov:"30524"_1050695_1052823
    FATun, taiya attatte akan de . %mov:"30524"_1052823_1054299
    FAT*FAT: kono taiya no shita ni sukii ga tuiten ne . %mov:"30524"_1054299_1056527
    FATchotto miehen kedo, konna yatte na ? %mov:"30524"_1056527_1058869
    CHIhonde sukii itte +... %mov:"30524"_1058869_1062248

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_ishii3.44
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/30524.chaJun 3;05.241,163443.44

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. taiya4 · 100.0%