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. neko gyuunyuu nonden nya . %mov:"30524"_181557_183226 FAT · japanese_ishii/30524.cha, line 111 · Jun 3;05
  2. gyuunyuu ga hoshii yuuten nya . %mov:"30524"_225339_227579 FAT · japanese_ishii/30524.cha, line 132 · Jun 3;05
  1. japanese_ishii/30524.cha, line 111 · Jun, 3;05.24
    CHIneko mo tabetai . %mov:"30524"_177726_181086
    FATun . %mov:"30524"_181086_181557
    FAT*FAT: neko gyuunyuu nonden nya . %mov:"30524"_181557_183226
    CHIsoo . %mov:"30524"_183226_184152
    CHIperopero@o tte . %mov:"30524"_184152_186261
  2. japanese_ishii/30524.cha, line 132 · Jun, 3;05.24
    FATun . %mov:"30524"_223487_223998
    CHIkore o kobo +... %mov:"30524"_223998_225339
    FAT*FAT: gyuunyuu ga hoshii yuuten nya . %mov:"30524"_225339_227579
    CHIsoo ka . %mov:"30524"_227579_229223
    FATun . %mov:"30524"_229223_229731

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. gyuunyuu2 · 100.0%