PHPCLANCHILDES with regular expressions

2 matches in 2 utterances

4.38 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (193 utterances, 457 words searched).

  1. hoora, takaitakai@o [: takaku] natta . %mov:"10021"_225800_226944 FAT · japanese_ishii/10021.cha, line 150 · Jun 1;00
  2. hoora, konna (ni) natta . %mov:"10021"_258989_260634 FAT · japanese_ishii/10021.cha, line 180 · Jun 1;00
  1. FATo, takaitakaai shoo [: shiyou] ka . %mov:"10021"_223024_224779
    CHIje . %mov:"10021"_224779_225800
    FAT*FAT: hoora, takaitakai@o [: takaku] natta . %mov:"10021"_225800_226944
    CHIaa . %mov:"10021"_226944_230900
    FATaa ? %mov:"10021"_230900_232402
  2. FATn ? %mov:"10021"_252097_256173
    FATtakaitakaai shoo [: shiyou] ka . %mov:"10021"_256173_258989
    FAT*FAT: hoora, konna (ni) natta . %mov:"10021"_258989_260634
    CHIuke . %mov:"10021"_266589_268000
    FATa ! %mov:"10021"_268000_268500

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_ishii4.38
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/10021.chaJun 1;0.21457224.38

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. natta2 · 100.0%