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. mieru ka . %mov:"10111"_609459_617802 FAT · japanese_ishii/10111.cha, line 338 · Jun 1;01
  2. mieru ka . %mov:"10111"_617802_618588 FAT · japanese_ishii/10111.cha, line 340 · Jun 1;01
  1. japanese_ishii/10111.cha, line 338 · Jun, 1;01.11
    CHIachaa . %mov:"10111"_589649_593695
    FATattaa . %mov:"10111"_593695_594703
    FAT*FAT: mieru ka . %mov:"10111"_609459_617802
    FATmieru ka . %mov:"10111"_617802_618588
    FATJun yoo . %mov:"10111"_618588_620032
  2. japanese_ishii/10111.cha, line 340 · Jun, 1;01.11
    FATattaa . %mov:"10111"_593695_594703
    FATmieru ka . %mov:"10111"_609459_617802
    FAT*FAT: mieru ka . %mov:"10111"_617802_618588
    FATJun yoo . %mov:"10111"_618588_620032
    FATJunkun yoo . %mov:"10111"_620032_621702

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. mieru2 · 100.0%