PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

6.01 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (340 utterances, 832 words searched).

  1. sore mo Jun no ? %mov:"20327"_19605_20549 FAT · japanese_ishii/20327.cha, line 27 · Jun 2;03
  2. un, sore nikai to chagau ne . %mov:"20327"_178914_180134 FAT · japanese_ishii/20327.cha, line 119 · Jun 2;03
  3. n, sore nikai nai yan ka . %mov:"20327"_271343_272976 FAT · japanese_ishii/20327.cha, line 166 · Jun 2;03
  4. aa, sore mo mawaru no ? %mov:"20327"_494408_495756 FAT · japanese_ishii/20327.cha, line 281 · Jun 2;03
  5. sore shimaranai . %mov:"20327"_807727_808721 FAT · japanese_ishii/20327.cha, line 414 · Jun 2;03
  1. FATe ? %mov:"20327"_17343_18152
    CHIkoe mo Jun no . %mov:"20327"_18152_19605
    FAT*FAT: sore mo Jun no ? %mov:"20327"_19605_20549
    CHIpiiyuu [>] . %mov:"20327"_20549_20549
    FAThitotsu choodai [<] . %mov:"20327"_20549_20549
  2. CHInikai inai . %mov:"20327"_173964_173964
    CHIkoko ni nikai aru # hoe . %mov:"20327"_175873_178914
    FAT*FAT: un, sore nikai to chagau ne . %mov:"20327"_178914_180134
    FATkore nikai an ne . %mov:"20327"_180134_181247
    CHIhonto # koko ya . %mov:"20327"_181247_185135
  3. FATa ! %mov:"20327"_267863_269565
    CHIkoko haitta aru . %mov:"20327"_269565_271343
    FAT*FAT: n, sore nikai nai yan ka . %mov:"20327"_271343_272976
    FATkore nikai an nya, hore . %mov:"20327"_272976_275938
    CHIkoko no basu nai wa . %mov:"20327"_275938_278985
  4. CHIbuubu ya . %mov:"20327"_487782_490255
    CHIku # maaten no koe mo . %mov:"20327"_490255_494408
    FAT*FAT: aa, sore mo mawaru no ? %mov:"20327"_494408_495756
    CHImaan no . %mov:"20327"_495756_496608
    FATshoberukaa ? %mov:"20327"_496608_497575
  5. FATshimaranai . %mov:"20327"_802728_806743
    CHIn ? %mov:"20327"_806743_807727
    FAT*FAT: sore shimaranai . %mov:"20327"_807727_808721
    CHIn ? %mov:"20327"_808721_810073
    FAThore, a, shimatta shimatta . %mov:"20327"_810073_811605

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_ishii6.01
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/20327.chaJun 2;3.27832556.01

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. sore5 · 100.0%