PHPCLANCHILDES with regular expressions

2 matches in 2 utterances

8.70 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (111 utterances, 230 words searched).

  1. pai@o shitara me ! %mov:"10519"_781802_788613 FAT · japanese_ishii/10519.cha, line 360 · Jun 1;05
  2. mee suru,, poi shitara ! %mov:"10519"_875631_880043 FAT · japanese_ishii/10519.cha, line 378 · Jun 1;05
  1. FATdae [: dare] ya ! %mov:"10519"_781254_781802
    FATme [: dame] ! %mov:"10519"_781802_785175
    FAT*FAT: pai@o shitara me ! %mov:"10519"_781802_788613
    FATaato [: arigatou] . %mov:"10519"_788613_794520
    FATJunkun, asobimasho . %mov:"10519"_794520_799654
  2. FATbooru ka,, sore . %mov:"10519"_829603_832545
    FATkora ! %mov:"10519"_832545_875631
    FAT*FAT: mee suru,, poi shitara ! %mov:"10519"_875631_880043
    FATchoodai . %mov:"10519"_880043_887063
    FATaatoo [: arigatou] . %mov:"10519"_887063_887973

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_ishii8.70
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/10519.chaJun 1;5.19230228.70

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. shitara2 · 100.0%