PHPCLANCHILDES with regular expressions

2 matches in 2 utterances

6.39 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (166 utterances, 313 words searched).

  1. Jun yoo . %mov:"10111"_618588_620032 FAT · japanese_ishii/10111.cha, line 341 · Jun 1;01
  2. Jun yoo . %mov:"10111"_628777_630466 FAT · japanese_ishii/10111.cha, line 349 · Jun 1;01
  1. japanese_ishii/10111.cha, line 341 · Jun, 1;01.11
    FATmieru ka . %mov:"10111"_609459_617802
    FATmieru ka . %mov:"10111"_617802_618588
    FAT*FAT: Jun yoo . %mov:"10111"_618588_620032
    FATJunkun yoo . %mov:"10111"_620032_621702
    CHIaa . %mov:"10111"_621702_624860
  2. japanese_ishii/10111.cha, line 349 · Jun, 1;01.11
    CHIaae . %mov:"10111"_626275_627670
    CHIehenu . %mov:"10111"_627670_628777
    FAT*FAT: Jun yoo . %mov:"10111"_628777_630466
    CHIaha . %mov:"10111"_630466_632262
    FATaa, ochiruochiruochiruochiruu . %mov:"10111"_632262_643071

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_ishii6.39
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/10111.chaJun 1;01.11313226.39

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. jun2 · 100.0%