PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

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

  1. atama wa ? %mov:"20017"_601117_604608 FAT · japanese_ishii/20017.cha, line 382 · Jun 2;00
  2. shinkansen no atama wa ? %mov:"20017"_604608_607679 FAT · japanese_ishii/20017.cha, line 383 · Jun 2;00
  3. byuwan@o no atama soko . %mov:"20017"_607679_609435 FAT · japanese_ishii/20017.cha, line 384 · Jun 2;00
  1. FATokuchi # sore okuchi . %mov:"20017"_596389_599523
    FATJun no okuchi wa doko ni aru ? %mov:"20017"_599523_601117
    FAT*FAT: atama wa ? %mov:"20017"_601117_604608
    FATshinkansen no atama wa ? %mov:"20017"_604608_607679
    FATbyuwan@o no atama soko . %mov:"20017"_607679_609435
  2. FATJun no okuchi wa doko ni aru ? %mov:"20017"_599523_601117
    FATatama wa ? %mov:"20017"_601117_604608
    FAT*FAT: shinkansen no atama wa ? %mov:"20017"_604608_607679
    FATbyuwan@o no atama soko . %mov:"20017"_607679_609435
    FATashi nai naa,, shinkansen . %mov:"20017"_609435_612637
  3. 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

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_ishii3.21
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/20017.chaJun 2;0.17935333.21

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. atama3 · 100.0%