PHPCLANCHILDES with regular expressions

2 matches in 2 utterances

2.22 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (356 utterances, 900 words searched).

  1. biyaanbiyaan@o hayai nee . %mov:"20023"_689248_691696 FAT · japanese_ishii/20023.cha, line 484 · Jun 2;00
  2. hayai nee . %mov:"20023"_692266_693564 FAT · japanese_ishii/20023.cha, line 486 · Jun 2;00
  1. japanese_ishii/20023.cha, line 484 · Jun, 2;0.23
    CHIaa ? %mov:"20023"_682737_686488
    CHIbiyabiyaan . %mov:"20023"_686488_689248
    FAT*FAT: biyaanbiyaan@o hayai nee . %mov:"20023"_689248_691696
    CHIn ? %mov:"20023"_691696_692266
    FAThayai nee . %mov:"20023"_692266_693564
  2. japanese_ishii/20023.cha, line 486 · Jun, 2;0.23
    FATbiyaanbiyaan@o hayai nee . %mov:"20023"_689248_691696
    CHIn ? %mov:"20023"_691696_692266
    FAT*FAT: hayai nee . %mov:"20023"_692266_693564
    FATbyuun@o tte itchau wa . %mov:"20023"_693564_695472
    CHIbiyuun ya . %mov:"20023"_695472_695472

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_ishii2.22
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/20023.chaJun 2;0.23900222.22

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. hayai2 · 100.0%