PHPCLANCHILDES with regular expressions

2 matches in 2 utterances

3.40 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (254 utterances, 588 words searched).

  1. meme ga motteitta n . %mov:"20525"_1102486_1103665 FAT · japanese_ishii/20525.cha, line 533 · Jun 2;05
  2. warui meme ya naa . %mov:"20525"_1103665_1106215 FAT · japanese_ishii/20525.cha, line 534 · Jun 2;05
  1. japanese_ishii/20525.cha, line 533 · Jun, 2;5.25
    FATe ? %mov:"20525"_1098556_1099190
    CHImeme ga motteitta ? %mov:"20525"_1099190_1102486
    FAT*FAT: meme ga motteitta n . %mov:"20525"_1102486_1103665
    FATwarui meme ya naa . %mov:"20525"_1103665_1106215
    CHIxxx . %mov:"20525"_1106215_1111238
  2. japanese_ishii/20525.cha, line 534 · Jun, 2;5.25
    CHImeme ga motteitta ? %mov:"20525"_1099190_1102486
    FATmeme ga motteitta n . %mov:"20525"_1102486_1103665
    FAT*FAT: warui meme ya naa . %mov:"20525"_1103665_1106215
    CHIxxx . %mov:"20525"_1106215_1111238
    FATokashii nee . %mov:"20525"_1111238_1113402

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_ishii3.40
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/20525.chaJun 2;5.25588223.40

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. meme2 · 100.0%