PHPCLANCHILDES with regular expressions

2 matches in 2 utterances

3.11 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (264 utterances, 643 words searched).

  1. kondo kore mo hittsuketa, hora . %mov:"10106"_113320_114583 FAT · japanese_ishii/10106.cha, line 119 · Jun 1;01
  2. hai, papa (mo) nomo [: nomou], hai . %mov:"10106"_729887_740379 FAT · japanese_ishii/10106.cha, line 517 · Jun 1;01
  1. FAThittsuken [: kuttsukeru] no ? %mov:"10106"_111606_112534
    FATyoisho ! %mov:"10106"_112534_113320
    FAT*FAT: kondo kore mo hittsuketa, hora . %mov:"10106"_113320_114583
    FATa ! %mov:"10106"_114583_119329
    FATjoozu ya nee . %mov:"10106"_138041_140005
  2. FATaa [>] . %mov:"10106"_728500_729887
    CHIxxx [<] . %mov:"10106"_728500_729887
    FAT*FAT: hai, papa (mo) nomo [: nomou], hai . %mov:"10106"_729887_740379
    CHIabuu <obuu> [>] . %mov:"10106"_740379_744312
    FATaa, oishi [: oishii] [<] . %mov:"10106"_740379_744312

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_ishii3.11
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/10106.chaJun 1;01.06643223.11

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. mo2 · 100.0%