PHPCLANCHILDES with regular expressions

2 matches in 2 utterances

2.14 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (383 utterances, 935 words searched).

  1. byuwan@o no atama soko . %mov:"20017"_607679_609435 FAT · japanese_ishii/20017.cha, line 384 · Jun 2;00
  2. byuwan@o ashi aru ka ? %mov:"20017"_614297_617654 FAT · japanese_ishii/20017.cha, line 388 · Jun 2;00
  1. japanese_ishii/20017.cha, line 384 · Jun, 2;0.17
    FATatama wa ? %mov:"20017"_601117_604608
    FATshinkansen no atama wa ? %mov:"20017"_604608_607679
    FAT*FAT: byuwan@o no atama soko . %mov:"20017"_607679_609435
    FATashi nai naa,, shinkansen . %mov:"20017"_609435_612637
    CHIn ? %mov:"20017"_612637_613552
  2. japanese_ishii/20017.cha, line 388 · Jun, 2;0.17
    CHIn ? %mov:"20017"_612637_613552
    FATashi aru ? %mov:"20017"_613552_614297
    FAT*FAT: byuwan@o ashi aru ka ? %mov:"20017"_614297_617654
    CHIkowai yoo . %mov:"20017"_617654_624177
    FATdore ga kowai no ? %mov:"20017"_624177_625647

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_ishii2.14
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/20017.chaJun 2;0.17935222.14

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. byuwan2 · 100.0%