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. aa, itta ittaa . %mov:"10106"_208559_216861 FAT · japanese_ishii/10106.cha, line 150 · Jun 1;01
  2. torakku (wa) doko (e) itta ? FAT · japanese_ishii/10106.cha, line 435 · Jun 1;01
  1. japanese_ishii/10106.cha, line 150 · Jun, 1;01.06
    FATkurukuru@o dake ka,, kore wa . %mov:"10106"_198352_200487
    FATkore ga uu@o yuu no ka na ? %mov:"10106"_200487_202119
    FAT*FAT: aa, itta ittaa . %mov:"10106"_208559_216861
    FAToo, yuuta . %mov:"10106"_216861_219233
    FATjooju [: joozu] ni mawasu nee . %mov:"10106"_219233_228855
  2. japanese_ishii/10106.cha, line 435 · Jun, 1;01.06
    FATa ? %mov:"10106"_634009_636514
    CHIau . %mov:"10106"_636514_638298
    FAT*FAT: torakku (wa) doko (e) itta ?
    CHIubuu ? %mov:"10106"_643311_643311
    FATyooshi yoshi . %mov:"10106"_644415_645105

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. itta2 · 100.0%