PHPCLANCHILDES with regular expressions

2 matches in 2 utterances

3.25 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (282 utterances, 616 words searched).

  1. sonna (ni) natteta [: natte+ita] no ? %mov:"10029"_140659_142246 FAT · japanese_ishii/10029.cha, line 81 · Jun 1;00
  2. aa aa, sonna toko (e) haitta no . %mov:"10029"_310834_312309 FAT · japanese_ishii/10029.cha, line 180 · Jun 1;00
  1. FATaa aa . %mov:"10029"_139500_140043
    FATdoo shiten [: shite+iru] no ? %mov:"10029"_140043_140659
    FAT*FAT: sonna (ni) natteta [: natte+ita] no ? %mov:"10029"_140659_142246
    CHIaa aa . %mov:"10029"_142246_143500
    FATaa aa shita no . %mov:"10029"_143500_144536
  2. FATatta ? %mov:"10029"_307722_309950
    CHIaa aa . %mov:"10029"_309950_310834
    FAT*FAT: aa aa, sonna toko (e) haitta no . %mov:"10029"_310834_312309
    FATtotte . %mov:"10029"_312309_314417
    FATbooru wa ? %mov:"10029"_314417_316337

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_ishii3.25
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/10029.chaJun 1;0.29616223.25

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. sonna2 · 100.0%