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. okatazuke nainaai shita . %mov:"20108"_673676_675403 FAT · japanese_ishii/20108.cha, line 440 · Jun 2;01
  2. Jun ga kowaikowaai yuu kara # moo nainaai shita . %mov:"20108"_675403_679010 FAT · japanese_ishii/20108.cha, line 441 · Jun 2;01
  1. FATmoo okatazuke shita . %mov:"20108"_671790_673117
    CHIn ? %mov:"20108"_673117_673676
    FAT*FAT: okatazuke nainaai shita . %mov:"20108"_673676_675403
    FATJun ga kowaikowaai yuu kara # moo nainaai shita . %mov:"20108"_675403_679010
    CHInainai ta . %mov:"20108"_679010_680421
  2. CHIn ? %mov:"20108"_673117_673676
    FATokatazuke nainaai shita . %mov:"20108"_673676_675403
    FAT*FAT: Jun ga kowaikowaai yuu kara # moo nainaai shita . %mov:"20108"_675403_679010
    CHInainai ta . %mov:"20108"_679010_680421
    FATun . %mov:"20108"_680421_681005

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. nainaai2 · 100.0%