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. doo sun [: suru] no,, sore (o) . %mov:"10011"_393500_395181 FAT · japanese_ishii/10011.cha, line 208 · Jun 1;00
  2. un, sore wa maikurofon . %mov:"10011"_771517_773513 FAT · japanese_ishii/10011.cha, line 381 · Jun 1;00
  1. CHIbuu . %mov:"10011"_389648_391426
    FATa . %mov:"10011"_391426_393500
    FAT*FAT: doo sun [: suru] no,, sore (o) . %mov:"10011"_393500_395181
    FATkoo [: kono youni] sun [: suru] nya [: no da] . %mov:"10011"_395181_397000
    CHItya . %mov:"10011"_397000_397575
  2. CHIaa aa aa . %mov:"10011"_765819_768220
    CHIaa aata . %mov:"10011"_768220_771517
    FAT*FAT: un, sore wa maikurofon . %mov:"10011"_771517_773513
    FATdame deshu [: desu] yo . %mov:"10011"_773513_776200
    FATkora ! %mov:"10011"_776200_776852

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. sore2 · 100.0%