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. kore wa kurukuru@o dake ka ? %mov:"10106"_197100_198352 FAT · japanese_ishii/10106.cha, line 146 · Jun 1;01
  2. kurukuru@o dake ka,, kore wa . %mov:"10106"_198352_200487 FAT · japanese_ishii/10106.cha, line 147 · Jun 1;01
  1. FATsore ga yuu nya [: no da] nee . %mov:"10106"_190000_191251
    FATkore wa yuwanai ka, kore wa . %mov:"10106"_191251_197100
    FAT*FAT: kore wa kurukuru@o dake ka ? %mov:"10106"_197100_198352
    FATkurukuru@o dake ka,, kore wa . %mov:"10106"_198352_200487
    FATkore ga uu@o yuu no ka na ? %mov:"10106"_200487_202119
  2. FATkore wa yuwanai ka, kore wa . %mov:"10106"_191251_197100
    FATkore wa kurukuru@o dake ka ? %mov:"10106"_197100_198352
    FAT*FAT: kurukuru@o dake ka,, kore wa . %mov:"10106"_198352_200487
    FATkore ga uu@o yuu no ka na ? %mov:"10106"_200487_202119
    FATaa, itta ittaa . %mov:"10106"_208559_216861

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. dake2 · 100.0%