PHPCLANCHILDES with regular expressions

2 matches in 2 utterances

3.11 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (264 utterances, 643 words searched).

  1. sore ga yuu nya [: no da] nee . %mov:"10106"_190000_191251 FAT · japanese_ishii/10106.cha, line 142 · Jun 1;01
  2. kore ga uu@o yuu no ka na ? %mov:"10106"_200487_202119 FAT · japanese_ishii/10106.cha, line 148 · Jun 1;01
  1. FATa ? %mov:"10106"_183534_188137
    FATsoo ya nee . %mov:"10106"_188137_190000
    FAT*FAT: sore ga yuu nya [: no da] nee . %mov:"10106"_190000_191251
    FATkore wa yuwanai ka, kore wa . %mov:"10106"_191251_197100
    FATkore wa kurukuru@o dake ka ? %mov:"10106"_197100_198352
  2. FATkore wa kurukuru@o dake ka ? %mov:"10106"_197100_198352
    FATkurukuru@o dake ka,, kore wa . %mov:"10106"_198352_200487
    FAT*FAT: kore ga uu@o yuu no ka na ? %mov:"10106"_200487_202119
    FATaa, itta ittaa . %mov:"10106"_208559_216861
    FAToo, yuuta . %mov:"10106"_216861_219233

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_ishii3.11
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/10106.chaJun 1;01.06643223.11

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. yuu2 · 100.0%