PHPCLANCHILDES with regular expressions

2 matches in 2 utterances

4.02 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (183 utterances, 497 words searched).

  1. koo [: kono youni] sun [: suru] nya [: no da] . %mov:"10011"_395181_3970… FAT · japanese_ishii/10011.cha, line 210 · Jun 1;00
  2. koo (suru) (no) yanka [: janaika] . %mov:"10011"_408288_413656 FAT · japanese_ishii/10011.cha, line 218 · Jun 1;00
  1. FATa . %mov:"10011"_391426_393500
    FATdoo sun [: suru] no,, sore (o) . %mov:"10011"_393500_395181
    FAT*FAT: koo [: kono youni] sun [: suru] nya [: no da] . %mov:"10011"_395181_397000
    CHItya . %mov:"10011"_397000_397575
    CHIwa . %mov:"10011"_397575_406403
  2. CHIwa . %mov:"10011"_397575_406403
    FATdame ya [: da],, sonna poi shitara . %mov:"10011"_406403_408288
    FAT*FAT: koo (suru) (no) yanka [: janaika] . %mov:"10011"_408288_413656
    FATitai ! %mov:"10011"_413656_420602
    CHIaa . %mov:"10011"_420602_425020

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_ishii4.02
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/10011.chaJun 1;0.11497224.02

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. koo2 · 100.0%