PHPCLANCHILDES with regular expressions

2 matches in 2 utterances

4.27 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (206 utterances, 468 words searched).

  1. a, kore ka ? %mov:"10000"_124826_125416 FAT · japanese_ishii/10000.cha, line 76 · Jun 1;00
  2. kore mushi ya [: da] . %mov:"10000"_125416_126290 FAT · japanese_ishii/10000.cha, line 77 · Jun 1;00
  1. FATkukuu@o mieten [: mieteiru] no ? %mov:"10000"_119967_121663
    FATa, sore kurukurukuru@o +... %mov:"10000"_121663_124826
    FAT*FAT: a, kore ka ? %mov:"10000"_124826_125416
    FATkore mushi ya [: da] . %mov:"10000"_125416_126290
    FAThora, meme [= worm] ya [: da] . %mov:"10000"_126290_128245
  2. FATa, sore kurukurukuru@o +... %mov:"10000"_121663_124826
    FATa, kore ka ? %mov:"10000"_124826_125416
    FAT*FAT: kore mushi ya [: da] . %mov:"10000"_125416_126290
    FAThora, meme [= worm] ya [: da] . %mov:"10000"_126290_128245
    FATa doko (e) itta ? %mov:"10000"_128245_129080

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_ishii4.27
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/10000.chaJun 1;0.01468224.27

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. kore2 · 100.0%