PHPCLANCHILDES with regular expressions

2 matches in 2 utterances

2.09 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (388 utterances, 956 words searched).

  1. batan ? %mov:"20205"_439894_440794 FAT · japanese_ishii/20205.cha, line 280 · Jun 2;02
  2. batan@o . %mov:"20205"_784669_794317 FAT · japanese_ishii/20205.cha, line 465 · Jun 2;02
  1. japanese_ishii/20205.cha, line 280 · Jun, 2;2.05
    FATe ? %mov:"20205"_438405_438884
    CHIbatan . %mov:"20205"_438884_439894
    FAT*FAT: batan ? %mov:"20205"_439894_440794
    CHIbatan nai zoo . %mov:"20205"_440794_443712
    CHIbatan nai xxx zoo . %mov:"20205"_443712_447505
  2. japanese_ishii/20205.cha, line 465 · Jun, 2;2.05
    FATkatai ? %mov:"20205"_779290_782329
    FATchotto katai na,, kotchi wa . %mov:"20205"_782329_784669
    FAT*FAT: batan@o . %mov:"20205"_784669_794317
    CHIaa mieta . %mov:"20205"_794317_802666
    FATmieta ka ? %mov:"20205"_802666_803284

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_ishii2.09
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/20205.chaJun 2;2.05956222.09

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. batan2 · 100.0%