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. aa aa, doo natta no . %mov:"20108"_580563_580563 FAT · japanese_ishii/20108.cha, line 377 · Jun 2;01
  2. doo shita no ? %mov:"20108"_583940_584976 FAT · japanese_ishii/20108.cha, line 379 · Jun 2;01
  1. japanese_ishii/20108.cha, line 377 · Jun, 2;1.08
    FATJun wa dono tokee ga ii ? %mov:"20108"_572103_574509
    CHIaa aa ! %mov:"20108"_574509_580563
    FAT*FAT: aa aa, doo natta no . %mov:"20108"_580563_580563
    CHIn ? %mov:"20108"_582242_583940
    FATdoo shita no ? %mov:"20108"_583940_584976
  2. japanese_ishii/20108.cha, line 379 · Jun, 2;1.08
    FATaa aa, doo natta no . %mov:"20108"_580563_580563
    CHIn ? %mov:"20108"_582242_583940
    FAT*FAT: doo shita no ? %mov:"20108"_583940_584976
    CHIJun no . %mov:"20108"_584976_585987
    FATsore Jun no ? %mov:"20108"_585987_587207

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. doo2 · 100.0%