PHPCLANCHILDES with regular expressions

2 matches in 2 utterances

3.50 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (219 utterances, 572 words searched).

  1. doko . %mov:"10505"_360408_360919 FAT · japanese_ishii/10505.cha, line 239 · Jun 1;05
  2. are (wa) doko (e) itta ka na ? %mov:"10505"_554752_555846 FAT · japanese_ishii/10505.cha, line 319 · Jun 1;05
  1. CHImamma ? %mov:"10505"_358963_359755
    FATmamma ? %mov:"10505"_359755_360408
    FAT*FAT: doko . %mov:"10505"_360408_360919
    FATa, honto, mamma ya [: da] nee . %mov:"10505"_360919_362497
    FATnabeyakiudon, kitsuneudon, supagetti tte kaite aru . %mov:"10505"_362497_366041
  2. CHIiichiinuu xxx . %mov:"10505"_540331_549284
    CHIbuua . %mov:"10505"_549284_549284
    FAT*FAT: are (wa) doko (e) itta ka na ? %mov:"10505"_554752_555846
    FATxxx nai ka naa . %mov:"10505"_555846_557596
    FATkore (wa) nani (o) shiten [: shiteiru] no ? %mov:"10505"_557596_565089

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_ishii3.50
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/10505.chaJun 1;5.05572223.50

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. doko2 · 100.0%