PHPCLANCHILDES with regular expressions

2 matches in 2 utterances

2.77 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (292 utterances, 723 words searched).

  1. kore mita ? %mov:"11116"_337810_338412 FAT · japanese_ishii/11116.cha, line 269 · Jun 1;11
  2. <kore> [>] mita ? %mov:"11116"_341007_342241 FAT · japanese_ishii/11116.cha, line 272 · Jun 1;11
  1. CHIJun ya . %mov:"11116"_336209_337144
    FATun . %mov:"11116"_337144_337810
    FAT*FAT: kore mita ? %mov:"11116"_337810_338412
    FATkore mada mi [>] +... %mov:"11116"_338412_341007
    CHIe popposhu [<] . %mov:"11116"_338412_341007
  2. FATkore mada mi [>] +... %mov:"11116"_338412_341007
    CHIe popposhu [<] . %mov:"11116"_338412_341007
    FAT*FAT: <kore> [>] mita ? %mov:"11116"_341007_342241
    CHIe [<] . %mov:"11116"_341007_342241
    FATmitehen [: mitenai] yan,, mada, densha ya . %mov:"11116"_342241_344270

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_ishii2.77
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/11116.chaJun 1;11.16723222.77

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. mita2 · 100.0%