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, 996 words searched).

  1. nna [: soredewa] koo shoo ka ? %mov:"20320"_1715282_1716448 FAT · japanese_ishii/20320.cha, line 782 · Jun 2;03
  2. koo shite koko de sutoppu sun ne . %mov:"20320"_1900433_1902080 FAT · japanese_ishii/20320.cha, line 856 · Jun 2;03
  1. CHItonneru . %mov:"20320"_1713156_1714163
    FATsonna sun no ? %mov:"20320"_1714163_1715282
    FAT*FAT: nna [: soredewa] koo shoo ka ? %mov:"20320"_1715282_1716448
    FATkoide [: kore de] ii ? %mov:"20320"_1716448_1717990
    CHItonde ii . %mov:"20320"_1717990_1719154
  2. CHIooiida [>] ! %mov:"20320"_1895480_1900433
    FATaa [<] . %mov:"20320"_1895480_1900433
    FAT*FAT: koo shite koko de sutoppu sun ne . %mov:"20320"_1900433_1902080
    FAThora, ochinai yo . %mov:"20320"_1902080_1903807
    CHIochinai ? %mov:"20320"_1903807_1905475

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/20320.chaJun 2;3.20996222.01

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. koo2 · 100.0%