PHPCLANCHILDES with regular expressions

2 matches in 2 utterances

2.67 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (295 utterances, 749 words searched).

  1. kawaii nee . %mov:"20108"_704504_705332 FAT · japanese_ishii/20108.cha, line 463 · Jun 2;01
  2. kawaii ? %mov:"20108"_706090_706844 FAT · japanese_ishii/20108.cha, line 465 · Jun 2;01
  1. japanese_ishii/20108.cha, line 463 · Jun, 2;1.08
    FATa, honto . %mov:"20108"_702808_703544
    FATchutchu ga iru nee . %mov:"20108"_703544_704504
    FAT*FAT: kawaii nee . %mov:"20108"_704504_705332
    CHIn ? %mov:"20108"_705332_706090
    FATkawaii ? %mov:"20108"_706090_706844
  2. japanese_ishii/20108.cha, line 465 · Jun, 2;1.08
    FATkawaii nee . %mov:"20108"_704504_705332
    CHIn ? %mov:"20108"_705332_706090
    FAT*FAT: kawaii ? %mov:"20108"_706090_706844
    CHIaaii ya # chu . %mov:"20108"_706844_709951
    FATsore hippattara iya yo . %mov:"20108"_709951_711575

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_ishii2.67
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/20108.chaJun 2;1.08749222.67

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. kawaii2 · 100.0%