PHPCLANCHILDES with regular expressions

2 matches in 2 utterances

2.01 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (405 utterances, 995 words searched).

  1. abunai shi doo sun no . %mov:"20518"_500944_502890 FAT · japanese_ishii/20518.cha, line 268 · Jun 2;05
  2. dame ya, abunai waa . %mov:"20518"_997099_1002446 FAT · japanese_ishii/20518.cha, line 442 · Jun 2;05
  1. CHIpoppooshushu@o amunai shi [: kara] . %mov:"20518"_494406_498792
    CHIjidoosha amunai shi . %mov:"20518"_498792_500944
    FAT*FAT: abunai shi doo sun no . %mov:"20518"_500944_502890
    SISmatte na zuutto ojisan xxx arigatoo . %mov:"20518"_502890_512623
    FAToishii ka ? %mov:"20518"_512623_525171
  2. CHIhai . %mov:"20518"_993175_994350
    CHIaiyatoo [: arigatoo] . %mov:"20518"_994350_994350
    FAT*FAT: dame ya, abunai waa . %mov:"20518"_997099_1002446
    CHIjidoosha . %mov:"20518"_1002446_1003325
    CHIpopposhu@o # kimatta [: kimashita] . %mov:"20518"_1003325_1008744

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_ishii2.01
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/20518.chaJun 2;5.18995222.01

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. abunai2 · 100.0%