PHPCLANCHILDES with regular expressions

2 matches in 2 utterances

1.72 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (386 utterances, 1,163 words searched).

  1. sugoi supiido ya zo,, kore # kono fune . %mov:"30524"_98823_100845 FAT · japanese_ishii/30524.cha, line 62 · Jun 3;05
  2. koori watte susumu ne,, kono fune wa . %mov:"30524"_930354_932168 FAT · japanese_ishii/30524.cha, line 520 · Jun 3;05
  1. FATkowanai [: kowakunai] yo . %mov:"30524"_96858_97491
    CHIkore nani xxx . %mov:"30524"_97491_98823
    FAT*FAT: sugoi supiido ya zo,, kore # kono fune . %mov:"30524"_98823_100845
    CHIbuu@o tte ? %mov:"30524"_100845_102321
    FATsoo . %mov:"30524"_102321_103910
  2. FATkoori ya . %mov:"30524"_929001_929541
    FATkore zembu koori ya . %mov:"30524"_929541_930354
    FAT*FAT: koori watte susumu ne,, kono fune wa . %mov:"30524"_930354_932168
    CHIsoo . %mov:"30524"_932168_933156
    FATkoori o na, bari@o bari@o bari@o tte watteiku ne . %mov:"30524"_933156_937767

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_ishii1.72
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/30524.chaJun 3;05.241,163221.72

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. fune2 · 100.0%