PHPCLANCHILDES with regular expressions

2 matches in 2 utterances

2.14 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (383 utterances, 935 words searched).

  1. Jun ga kaita n ? %mov:"20017"_226228_229304 FAT · japanese_ishii/20017.cha, line 164 · Jun 2;00
  2. gohon ni kaita ra dame desu yo . %mov:"20017"_231973_234972 FAT · japanese_ishii/20017.cha, line 166 · Jun 2;00
  1. japanese_ishii/20017.cha, line 164 · Jun, 2;0.17
    CHIjiijii xxx [>] . %mov:"20017"_223371_226228
    FATjiijii [= writing] [<] dare ga kaitaa ? %mov:"20017"_223371_226228
    FAT*FAT: Jun ga kaita n ? %mov:"20017"_226228_229304
    FATn ? %mov:"20017"_229304_231973
    FATgohon ni kaita ra dame desu yo . %mov:"20017"_231973_234972
  2. japanese_ishii/20017.cha, line 166 · Jun, 2;0.17
    FATJun ga kaita n ? %mov:"20017"_226228_229304
    FATn ? %mov:"20017"_229304_231973
    FAT*FAT: gohon ni kaita ra dame desu yo . %mov:"20017"_231973_234972
    CHImee . %mov:"20017"_234972_235598
    FATmee ! %mov:"20017"_235598_237186

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_ishii2.14
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/20017.chaJun 2;0.17935222.14

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. kaita2 · 100.0%