PHPCLANCHILDES with regular expressions

2 matches in 2 utterances

2.94 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (293 utterances, 680 words searched).

  1. moo itchatta ? %mov:"11027"_551825_553704 FAT · japanese_ishii/11027.cha, line 381 · Jun 1;10
  2. moo basu nai ka ? %mov:"11027"_570747_571829 FAT · japanese_ishii/11027.cha, line 393 · Jun 1;10
  1. japanese_ishii/11027.cha, line 381 · Jun, 1;10.27
    CHIn ? %mov:"11027"_548797_550527
    FATso(ko) kara mienai wa,, basu wa . %mov:"11027"_550527_551825
    FAT*FAT: moo itchatta ? %mov:"11027"_551825_553704
    CHIiichatta . %mov:"11027"_553704_556404
    FATitchatta . %mov:"11027"_556404_557209
  2. japanese_ishii/11027.cha, line 393 · Jun, 1;10.27
    FATun . %mov:"11027"_569003_569567
    CHIaa ? %mov:"11027"_569567_570747
    FAT*FAT: moo basu nai ka ? %mov:"11027"_570747_571829
    CHIkankan ? %mov:"11027"_571829_573029
    FATkankan@o ya . %mov:"11027"_573029_574006

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_ishii2.94
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/11027.chaJun 1;10.27680222.94

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. moo2 · 100.0%