PHPCLANCHILDES with regular expressions

2 matches in 2 utterances

3.41 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (252 utterances, 586 words searched).

  1. sore (ga) wanwan ka ? %mov:"10405"_295926_297059 FAT · japanese_ishii/10405.cha, line 250 · Jun 1;04
  2. chigau, sore wa wanwan ya [: da] . %mov:"10405"_309369_311343 FAT · japanese_ishii/10405.cha, line 261 · Jun 1;04
  1. japanese_ishii/10405.cha, line 250 · Jun, 1;4.05
    CHIwaawau ? %mov:"10405"_293314_294543
    CHIxxx . %mov:"10405"_294543_295926
    FAT*FAT: sore (ga) wanwan ka ? %mov:"10405"_295926_297059
    CHIee eeiee . %mov:"10405"_297059_299578
    FATmee@o ya [: da] . %mov:"10405"_299578_300891
  2. japanese_ishii/10405.cha, line 261 · Jun, 1;4.05
    CHIaabuua .
    CHIee . %mov:"10405"_307720_309369
    FAT*FAT: chigau, sore wa wanwan ya [: da] . %mov:"10405"_309369_311343
    CHIdaoyao ! %mov:"10405"_311343_317394
    CHIoao ! %mov:"10405"_317394_318281

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_ishii3.41
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/10405.chaJun 1;4.05586223.41

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. sore2 · 100.0%