PHPCLANCHILDES with regular expressions

2 matches in 2 utterances

3.46 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (272 utterances, 578 words searched).

  1. sonna outa utatta nee,, roosoku tsukete . %mov:"10804"_586150_588525 FAT · japanese_ishii/10804.cha, line 388 · Jun 1;08
  2. sonna ippen ni mekuru kara xxx . %mov:"10804"_784503_799553 FAT · japanese_ishii/10804.cha, line 536 · Jun 1;08
  1. CHIaa # pugigin . %mov:"10804"_581117_585547
    FATsoosoo . %mov:"10804"_585547_586150
    FAT*FAT: sonna outa utatta nee,, roosoku tsukete . %mov:"10804"_586150_588525
    FATuun ? %mov:"10804"_588525_589500
    CHIwanwanka ? %mov:"10804"_589500_591111
  2. CHIbiiga . %mov:"10804"_781502_782517
    FATun, sore mo buu@o ya naa . %mov:"10804"_782517_784503
    FAT*FAT: sonna ippen ni mekuru kara xxx . %mov:"10804"_784503_799553
    FAThitsu [//] hitotsu zutsu mekurana dame ya . %mov:"10804"_799553_801430
    CHIaauwa <buuya> [>] . %mov:"10804"_801430_806440

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_ishii3.46
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/10804.chaJun 1;8.04578223.46

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. sonna2 · 100.0%