PHPCLANCHILDES with regular expressions

2 matches in 2 utterances

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

  1. hanakami ka . %mov:"30524"_470180_471203 FAT · japanese_ishii/30524.cha, line 263 · Jun 3;05
  2. hanakami taberu no ka,, choocho . %mov:"30524"_472718_474830 FAT · japanese_ishii/30524.cha, line 266 · Jun 3;05
  1. FATmotto kotchi kona [: konaito] miehen yuuten ne . %mov:"30524"_464536_466791
    CHIhora, kore choocho no hanakami ya . %mov:"30524"_466791_470180
    FAT*FAT: hanakami ka . %mov:"30524"_470180_471203
    CHIun . %mov:"30524"_471203_471674
    CHItabetooru [: tabeteiru] . %mov:"30524"_471674_472718
  2. CHIun . %mov:"30524"_471203_471674
    CHItabetooru [: tabeteiru] . %mov:"30524"_471674_472718
    FAT*FAT: hanakami taberu no ka,, choocho . %mov:"30524"_472718_474830
    CHIun . %mov:"30524"_474830_475236
    CHIhora, konna cho # choocho chau de,, kore . %mov:"30524"_475236_478104

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_ishii1.72
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/30524.chaJun 3;05.241,163221.72

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. hanakami2 · 100.0%